diff options
| author | Jon Bratseth <bratseth@verizonmedia.com> | 2019-06-28 15:31:32 -0500 |
|---|---|---|
| committer | Jon Bratseth <bratseth@verizonmedia.com> | 2019-06-28 15:31:32 -0500 |
| commit | 42386c87f27961e2c94672e3203b6f43f5f29e04 (patch) | |
| tree | e669ff20e9681800ebad10c81a97df3562f070d7 /application | |
| parent | 35680fa4af2061d57c886624b422749219b77b52 (diff) | |
Support model-evaluation in Application
Diffstat (limited to 'application')
21 files changed, 14224 insertions, 22 deletions
diff --git a/application/src/main/java/com/yahoo/application/Application.java b/application/src/main/java/com/yahoo/application/Application.java index fb812ba6107..dffe458c798 100644 --- a/application/src/main/java/com/yahoo/application/Application.java +++ b/application/src/main/java/com/yahoo/application/Application.java @@ -1,6 +1,11 @@ // Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root. package com.yahoo.application; +import ai.vespa.rankingexpression.importer.configmodelview.MlModelImporter; +import ai.vespa.rankingexpression.importer.onnx.OnnxImporter; +import ai.vespa.rankingexpression.importer.tensorflow.TensorFlowImporter; +import ai.vespa.rankingexpression.importer.vespa.VespaImporter; +import ai.vespa.rankingexpression.importer.xgboost.XGBoostImporter; import com.google.common.annotations.Beta; import com.yahoo.application.container.JDisc; import com.yahoo.application.container.impl.StandaloneContainerRunner; @@ -109,9 +114,13 @@ public final class Application implements AutoCloseable { private VespaModel createVespaModel() { try { + List<MlModelImporter> modelImporters = List.of(new VespaImporter(), + new TensorFlowImporter(), + new OnnxImporter(), + new XGBoostImporter()); DeployState deployState = new DeployState.Builder() - .applicationPackage(FilesApplicationPackage.fromFile(path.toFile(), - /* Include source files */ true)) + .applicationPackage(FilesApplicationPackage.fromFile(path.toFile(), true)) + .modelImporters(modelImporters) .deployLogger((level, s) -> { }) .build(); return new VespaModel(new NullConfigModelRegistry(), deployState); @@ -133,6 +142,7 @@ public final class Application implements AutoCloseable { @Override public void close() { container.close(); + IOUtils.recursiveDeleteDir(new File(path.toFile(), "models.generated")); if (deletePathWhenClosing) IOUtils.recursiveDeleteDir(path.toFile()); } diff --git a/application/src/test/app-packages/model-evaluation/models/onnx/mnist_softmax.onnx b/application/src/test/app-packages/model-evaluation/models/onnx/mnist_softmax.onnx Binary files differnew file mode 100644 index 00000000000..a86019bf53a --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/onnx/mnist_softmax.onnx diff --git a/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/saved_model.pbtxt b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/saved_model.pbtxt new file mode 100644 index 00000000000..5528aa99401 --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/saved_model.pbtxt @@ -0,0 +1,8830 @@ +saved_model_schema_version: 1 +meta_graphs { + meta_info_def { + stripped_op_list { + op { + name: "Add" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_STRING + } + } + } + } + op { + name: "AddN" + input_arg { + name: "inputs" + type_attr: "T" + number_attr: "N" + } + output_arg { + name: "sum" + type_attr: "T" + } + attr { + name: "N" + type: "int" + has_minimum: true + minimum: 1 + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + type: DT_VARIANT + } + } + } + is_aggregate: true + is_commutative: true + } + op { + name: "ApplyGradientDescent" + input_arg { + name: "var" + type_attr: "T" + is_ref: true + } + input_arg { + name: "alpha" + type_attr: "T" + } + input_arg { + name: "delta" + type_attr: "T" + } + output_arg { + name: "out" + type_attr: "T" + is_ref: true + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "use_locking" + type: "bool" + default_value { + b: false + } + } + } + op { + name: "Assign" + input_arg { + name: "ref" + type_attr: "T" + is_ref: true + } + input_arg { + name: "value" + type_attr: "T" + } + output_arg { + name: "output_ref" + type_attr: "T" + is_ref: true + } + attr { + name: "T" + type: "type" + } + attr { + name: "validate_shape" + type: "bool" + default_value { + b: true + } + } + attr { + name: "use_locking" + type: "bool" + default_value { + b: true + } + } + allows_uninitialized_input: true + } + op { + name: "BroadcastGradientArgs" + input_arg { + name: "s0" + type_attr: "T" + } + input_arg { + name: "s1" + type_attr: "T" + } + output_arg { + name: "r0" + type_attr: "T" + } + output_arg { + name: "r1" + type_attr: "T" + } + attr { + name: "T" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "Cast" + input_arg { + name: "x" + type_attr: "SrcT" + } + output_arg { + name: "y" + type_attr: "DstT" + } + attr { + name: "SrcT" + type: "type" + } + attr { + name: "DstT" + type: "type" + } + } + op { + name: "Const" + output_arg { + name: "output" + type_attr: "dtype" + } + attr { + name: "value" + type: "tensor" + } + attr { + name: "dtype" + type: "type" + } + } + op { + name: "ExpandDims" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "dim" + type_attr: "Tdim" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "Tdim" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "Fill" + input_arg { + name: "dims" + type: DT_INT32 + } + input_arg { + name: "value" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + } + op { + name: "FloorDiv" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + } + op { + name: "GreaterEqual" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type: DT_BOOL + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT32 + type: DT_INT64 + type: DT_UINT8 + type: DT_INT16 + type: DT_INT8 + type: DT_UINT16 + type: DT_HALF + } + } + } + } + op { + name: "Identity" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + } + op { + name: "InTopKV2" + input_arg { + name: "predictions" + type: DT_FLOAT + } + input_arg { + name: "targets" + type_attr: "T" + } + input_arg { + name: "k" + type_attr: "T" + } + output_arg { + name: "precision" + type: DT_BOOL + } + attr { + name: "T" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "MatMul" + input_arg { + name: "a" + type_attr: "T" + } + input_arg { + name: "b" + type_attr: "T" + } + output_arg { + name: "product" + type_attr: "T" + } + attr { + name: "transpose_a" + type: "bool" + default_value { + b: false + } + } + attr { + name: "transpose_b" + type: "bool" + default_value { + b: false + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT32 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + } + op { + name: "Maximum" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT32 + type: DT_INT64 + } + } + } + is_commutative: true + } + op { + name: "Mean" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "reduction_indices" + type_attr: "Tidx" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "keep_dims" + type: "bool" + default_value { + b: false + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "Tidx" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "MergeV2Checkpoints" + input_arg { + name: "checkpoint_prefixes" + type: DT_STRING + } + input_arg { + name: "destination_prefix" + type: DT_STRING + } + attr { + name: "delete_old_dirs" + type: "bool" + default_value { + b: true + } + } + is_stateful: true + } + op { + name: "Mul" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + is_commutative: true + } + op { + name: "NoOp" + } + op { + name: "Pack" + input_arg { + name: "values" + type_attr: "T" + number_attr: "N" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "N" + type: "int" + has_minimum: true + minimum: 1 + } + attr { + name: "T" + type: "type" + } + attr { + name: "axis" + type: "int" + default_value { + i: 0 + } + } + } + op { + name: "Placeholder" + output_arg { + name: "output" + type_attr: "dtype" + } + attr { + name: "dtype" + type: "type" + } + attr { + name: "shape" + type: "shape" + default_value { + shape { + unknown_rank: true + } + } + } + } + op { + name: "PreventGradient" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "message" + type: "string" + default_value { + s: "" + } + } + } + op { + name: "Prod" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "reduction_indices" + type_attr: "Tidx" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "keep_dims" + type: "bool" + default_value { + b: false + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "Tidx" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "RealDiv" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + } + op { + name: "Reshape" + input_arg { + name: "tensor" + type_attr: "T" + } + input_arg { + name: "shape" + type_attr: "Tshape" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "Tshape" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "RestoreV2" + input_arg { + name: "prefix" + type: DT_STRING + } + input_arg { + name: "tensor_names" + type: DT_STRING + } + input_arg { + name: "shape_and_slices" + type: DT_STRING + } + output_arg { + name: "tensors" + type_list_attr: "dtypes" + } + attr { + name: "dtypes" + type: "list(type)" + has_minimum: true + minimum: 1 + } + is_stateful: true + } + op { + name: "SaveV2" + input_arg { + name: "prefix" + type: DT_STRING + } + input_arg { + name: "tensor_names" + type: DT_STRING + } + input_arg { + name: "shape_and_slices" + type: DT_STRING + } + input_arg { + name: "tensors" + type_list_attr: "dtypes" + } + attr { + name: "dtypes" + type: "list(type)" + has_minimum: true + minimum: 1 + } + is_stateful: true + } + op { + name: "ScalarSummary" + input_arg { + name: "tags" + type: DT_STRING + } + input_arg { + name: "values" + type_attr: "T" + } + output_arg { + name: "summary" + type: DT_STRING + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT32 + type: DT_INT64 + type: DT_UINT8 + type: DT_INT16 + type: DT_INT8 + type: DT_UINT16 + type: DT_HALF + } + } + } + } + op { + name: "Select" + input_arg { + name: "condition" + type: DT_BOOL + } + input_arg { + name: "t" + type_attr: "T" + } + input_arg { + name: "e" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + } + op { + name: "Shape" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "out_type" + } + attr { + name: "T" + type: "type" + } + attr { + name: "out_type" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "ShardedFilename" + input_arg { + name: "basename" + type: DT_STRING + } + input_arg { + name: "shard" + type: DT_INT32 + } + input_arg { + name: "num_shards" + type: DT_INT32 + } + output_arg { + name: "filename" + type: DT_STRING + } + } + op { + name: "SparseSoftmaxCrossEntropyWithLogits" + input_arg { + name: "features" + type_attr: "T" + } + input_arg { + name: "labels" + type_attr: "Tlabels" + } + output_arg { + name: "loss" + type_attr: "T" + } + output_arg { + name: "backprop" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + } + } + } + attr { + name: "Tlabels" + type: "type" + default_value { + type: DT_INT64 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "StringJoin" + input_arg { + name: "inputs" + type: DT_STRING + number_attr: "N" + } + output_arg { + name: "output" + type: DT_STRING + } + attr { + name: "N" + type: "int" + has_minimum: true + minimum: 1 + } + attr { + name: "separator" + type: "string" + default_value { + s: "" + } + } + } + op { + name: "Sum" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "reduction_indices" + type_attr: "Tidx" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "keep_dims" + type: "bool" + default_value { + b: false + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "Tidx" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "Tile" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "multiples" + type_attr: "Tmultiples" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "Tmultiples" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "TruncatedNormal" + input_arg { + name: "shape" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "dtype" + } + attr { + name: "seed" + type: "int" + default_value { + i: 0 + } + } + attr { + name: "seed2" + type: "int" + default_value { + i: 0 + } + } + attr { + name: "dtype" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + } + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + is_stateful: true + } + op { + name: "VariableV2" + output_arg { + name: "ref" + type_attr: "dtype" + is_ref: true + } + attr { + name: "shape" + type: "shape" + } + attr { + name: "dtype" + type: "type" + } + attr { + name: "container" + type: "string" + default_value { + s: "" + } + } + attr { + name: "shared_name" + type: "string" + default_value { + s: "" + } + } + is_stateful: true + } + op { + name: "ZerosLike" + input_arg { + name: "x" + type_attr: "T" + } + output_arg { + name: "y" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + } + } + tags: "serve" + tensorflow_version: "1.4.1" + tensorflow_git_version: "v1.4.0-19-ga52c8d9" + } + graph_def { + node { + name: "input" + op: "Placeholder" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + } + node { + name: "y" + op: "Placeholder" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT64 + } + } + attr { + key: "shape" + value { + shape { + unknown_rank: true + } + } + } + } + node { + name: "dnn/hidden1/truncated_normal/shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + tensor_content: "\020\003\000\000,\001\000\000" + } + } + } + } + node { + name: "dnn/hidden1/truncated_normal/mean" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.0 + } + } + } + } + node { + name: "dnn/hidden1/truncated_normal/stddev" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.0714285746216774 + } + } + } + } + node { + name: "dnn/hidden1/truncated_normal/TruncatedNormal" + op: "TruncatedNormal" + input: "dnn/hidden1/truncated_normal/shape" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "seed" + value { + i: 0 + } + } + attr { + key: "seed2" + value { + i: 0 + } + } + } + node { + name: "dnn/hidden1/truncated_normal/mul" + op: "Mul" + input: "dnn/hidden1/truncated_normal/TruncatedNormal" + input: "dnn/hidden1/truncated_normal/stddev" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "dnn/hidden1/truncated_normal" + op: "Add" + input: "dnn/hidden1/truncated_normal/mul" + input: "dnn/hidden1/truncated_normal/mean" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "dnn/hidden1/weights" + op: "VariableV2" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + attr { + key: "shared_name" + value { + s: "" + } + } + } + node { + name: "dnn/hidden1/weights/Assign" + op: "Assign" + input: "dnn/hidden1/weights" + input: "dnn/hidden1/truncated_normal" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden1/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "dnn/hidden1/weights/read" + op: "Identity" + input: "dnn/hidden1/weights" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden1/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "dnn/hidden1/zeros" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 300 + } + } + float_val: 0.0 + } + } + } + } + node { + name: "dnn/hidden1/bias" + op: "VariableV2" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + } + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 300 + } + } + } + } + attr { + key: "shared_name" + value { + s: "" + } + } + } + node { + name: "dnn/hidden1/bias/Assign" + op: "Assign" + input: "dnn/hidden1/bias" + input: "dnn/hidden1/zeros" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden1/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "dnn/hidden1/bias/read" + op: "Identity" + input: "dnn/hidden1/bias" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden1/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + } + } + } + } + } + node { + name: "dnn/hidden1/MatMul" + op: "MatMul" + input: "input" + input: "dnn/hidden1/weights/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: false + } + } + } + node { + name: "dnn/hidden1/add" + op: "Add" + input: "dnn/hidden1/MatMul" + input: "dnn/hidden1/bias/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "dnn/hidden1/mul/x" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.009999999776482582 + } + } + } + } + node { + name: "dnn/hidden1/mul" + op: "Mul" + input: "dnn/hidden1/mul/x" + input: "dnn/hidden1/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "dnn/hidden1/Maximum" + op: "Maximum" + input: "dnn/hidden1/mul" + input: "dnn/hidden1/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "dnn/hidden2/truncated_normal/shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + tensor_content: ",\001\000\000d\000\000\000" + } + } + } + } + node { + name: "dnn/hidden2/truncated_normal/mean" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.0 + } + } + } + } + node { + name: "dnn/hidden2/truncated_normal/stddev" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.1154700517654419 + } + } + } + } + node { + name: "dnn/hidden2/truncated_normal/TruncatedNormal" + op: "TruncatedNormal" + input: "dnn/hidden2/truncated_normal/shape" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "seed" + value { + i: 0 + } + } + attr { + key: "seed2" + value { + i: 0 + } + } + } + node { + name: "dnn/hidden2/truncated_normal/mul" + op: "Mul" + input: "dnn/hidden2/truncated_normal/TruncatedNormal" + input: "dnn/hidden2/truncated_normal/stddev" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "dnn/hidden2/truncated_normal" + op: "Add" + input: "dnn/hidden2/truncated_normal/mul" + input: "dnn/hidden2/truncated_normal/mean" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "dnn/hidden2/weights" + op: "VariableV2" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + attr { + key: "shared_name" + value { + s: "" + } + } + } + node { + name: "dnn/hidden2/weights/Assign" + op: "Assign" + input: "dnn/hidden2/weights" + input: "dnn/hidden2/truncated_normal" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden2/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "dnn/hidden2/weights/read" + op: "Identity" + input: "dnn/hidden2/weights" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden2/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "dnn/hidden2/zeros" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 100 + } + } + float_val: 0.0 + } + } + } + } + node { + name: "dnn/hidden2/bias" + op: "VariableV2" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + } + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 100 + } + } + } + } + attr { + key: "shared_name" + value { + s: "" + } + } + } + node { + name: "dnn/hidden2/bias/Assign" + op: "Assign" + input: "dnn/hidden2/bias" + input: "dnn/hidden2/zeros" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden2/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "dnn/hidden2/bias/read" + op: "Identity" + input: "dnn/hidden2/bias" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden2/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + } + } + } + } + } + node { + name: "dnn/hidden2/MatMul" + op: "MatMul" + input: "dnn/hidden1/Maximum" + input: "dnn/hidden2/weights/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: false + } + } + } + node { + name: "dnn/hidden2/add" + op: "Add" + input: "dnn/hidden2/MatMul" + input: "dnn/hidden2/bias/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "dnn/hidden2/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 1 + } + } + float_val: 0.009999999776482582 + } + } + } + } + node { + name: "dnn/hidden2/mul" + op: "Mul" + input: "dnn/hidden2/Const" + input: "dnn/hidden2/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "dnn/hidden2/Maximum" + op: "Maximum" + input: "dnn/hidden2/mul" + input: "dnn/hidden2/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "dnn/outputs/truncated_normal/shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + tensor_content: "d\000\000\000\n\000\000\000" + } + } + } + } + node { + name: "dnn/outputs/truncated_normal/mean" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.0 + } + } + } + } + node { + name: "dnn/outputs/truncated_normal/stddev" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.20000000298023224 + } + } + } + } + node { + name: "dnn/outputs/truncated_normal/TruncatedNormal" + op: "TruncatedNormal" + input: "dnn/outputs/truncated_normal/shape" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "seed" + value { + i: 0 + } + } + attr { + key: "seed2" + value { + i: 0 + } + } + } + node { + name: "dnn/outputs/truncated_normal/mul" + op: "Mul" + input: "dnn/outputs/truncated_normal/TruncatedNormal" + input: "dnn/outputs/truncated_normal/stddev" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "dnn/outputs/truncated_normal" + op: "Add" + input: "dnn/outputs/truncated_normal/mul" + input: "dnn/outputs/truncated_normal/mean" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "dnn/outputs/weights" + op: "VariableV2" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + attr { + key: "shared_name" + value { + s: "" + } + } + } + node { + name: "dnn/outputs/weights/Assign" + op: "Assign" + input: "dnn/outputs/weights" + input: "dnn/outputs/truncated_normal" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/outputs/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "dnn/outputs/weights/read" + op: "Identity" + input: "dnn/outputs/weights" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/outputs/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "dnn/outputs/zeros" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 10 + } + } + float_val: 0.0 + } + } + } + } + node { + name: "dnn/outputs/bias" + op: "VariableV2" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 10 + } + } + } + } + attr { + key: "shared_name" + value { + s: "" + } + } + } + node { + name: "dnn/outputs/bias/Assign" + op: "Assign" + input: "dnn/outputs/bias" + input: "dnn/outputs/zeros" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/outputs/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "dnn/outputs/bias/read" + op: "Identity" + input: "dnn/outputs/bias" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/outputs/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + } + node { + name: "dnn/outputs/MatMul" + op: "MatMul" + input: "dnn/hidden2/Maximum" + input: "dnn/outputs/weights/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: false + } + } + } + node { + name: "dnn/outputs/add" + op: "Add" + input: "dnn/outputs/MatMul" + input: "dnn/outputs/bias/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "loss/SparseSoftmaxCrossEntropyWithLogits/Shape" + op: "Shape" + input: "y" + attr { + key: "T" + value { + type: DT_INT64 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits" + op: "SparseSoftmaxCrossEntropyWithLogits" + input: "dnn/outputs/add" + input: "y" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tlabels" + value { + type: DT_INT64 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "loss/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "loss/loss" + op: "Mean" + input: "loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits" + input: "loss/Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/Shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } + } + } + } + } + } + node { + name: "train/gradients/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 1.0 + } + } + } + } + node { + name: "train/gradients/Fill" + op: "Fill" + input: "train/gradients/Shape" + input: "train/gradients/Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Reshape/shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 1 + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Reshape" + op: "Reshape" + input: "train/gradients/Fill" + input: "train/gradients/loss/loss_grad/Reshape/shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Shape" + op: "Shape" + input: "loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/loss/loss_grad/Tile" + op: "Tile" + input: "train/gradients/loss/loss_grad/Reshape" + input: "train/gradients/loss/loss_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tmultiples" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Shape_1" + op: "Shape" + input: "loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/loss/loss_grad/Shape_2" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } + } + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Const" + op: "Const" + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/loss/loss_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Prod" + op: "Prod" + input: "train/gradients/loss/loss_grad/Shape_1" + input: "train/gradients/loss/loss_grad/Const" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/loss/loss_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/loss/loss_grad/Const_1" + op: "Const" + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/loss/loss_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Prod_1" + op: "Prod" + input: "train/gradients/loss/loss_grad/Shape_2" + input: "train/gradients/loss/loss_grad/Const_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/loss/loss_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/loss/loss_grad/Maximum/y" + op: "Const" + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/loss/loss_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Maximum" + op: "Maximum" + input: "train/gradients/loss/loss_grad/Prod_1" + input: "train/gradients/loss/loss_grad/Maximum/y" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/loss/loss_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/floordiv" + op: "FloorDiv" + input: "train/gradients/loss/loss_grad/Prod" + input: "train/gradients/loss/loss_grad/Maximum" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/loss/loss_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/Cast" + op: "Cast" + input: "train/gradients/loss/loss_grad/floordiv" + attr { + key: "DstT" + value { + type: DT_FLOAT + } + } + attr { + key: "SrcT" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "train/gradients/loss/loss_grad/truediv" + op: "RealDiv" + input: "train/gradients/loss/loss_grad/Tile" + input: "train/gradients/loss/loss_grad/Cast" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/zeros_like" + op: "ZerosLike" + input: "loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/PreventGradient" + op: "PreventGradient" + input: "loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "message" + value { + s: "Currently there is no way to take the second derivative of sparse_softmax_cross_entropy_with_logits due to the fused implementation\'s interaction with tf.gradients()" + } + } + } + node { + name: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims/dim" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: -1 + } + } + } + } + node { + name: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims" + op: "ExpandDims" + input: "train/gradients/loss/loss_grad/truediv" + input: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims/dim" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tdim" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 1 + } + } + } + } + } + } + node { + name: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul" + op: "Mul" + input: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/ExpandDims" + input: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/PreventGradient" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/Shape" + op: "Shape" + input: "dnn/outputs/MatMul" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/Shape_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 10 + } + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "train/gradients/dnn/outputs/add_grad/Shape" + input: "train/gradients/dnn/outputs/add_grad/Shape_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/Sum" + op: "Sum" + input: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul" + input: "train/gradients/dnn/outputs/add_grad/BroadcastGradientArgs" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/Reshape" + op: "Reshape" + input: "train/gradients/dnn/outputs/add_grad/Sum" + input: "train/gradients/dnn/outputs/add_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/Sum_1" + op: "Sum" + input: "train/gradients/loss/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits_grad/mul" + input: "train/gradients/dnn/outputs/add_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/Reshape_1" + op: "Reshape" + input: "train/gradients/dnn/outputs/add_grad/Sum_1" + input: "train/gradients/dnn/outputs/add_grad/Shape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/outputs/add_grad/Reshape" + input: "^train/gradients/dnn/outputs/add_grad/Reshape_1" + } + node { + name: "train/gradients/dnn/outputs/add_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/outputs/add_grad/Reshape" + input: "^train/gradients/dnn/outputs/add_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/outputs/add_grad/Reshape" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/outputs/add_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/outputs/add_grad/Reshape_1" + input: "^train/gradients/dnn/outputs/add_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/outputs/add_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/outputs/MatMul_grad/MatMul" + op: "MatMul" + input: "train/gradients/dnn/outputs/add_grad/tuple/control_dependency" + input: "dnn/outputs/weights/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: true + } + } + } + node { + name: "train/gradients/dnn/outputs/MatMul_grad/MatMul_1" + op: "MatMul" + input: "dnn/hidden2/Maximum" + input: "train/gradients/dnn/outputs/add_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: true + } + } + attr { + key: "transpose_b" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/outputs/MatMul_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/outputs/MatMul_grad/MatMul" + input: "^train/gradients/dnn/outputs/MatMul_grad/MatMul_1" + } + node { + name: "train/gradients/dnn/outputs/MatMul_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/outputs/MatMul_grad/MatMul" + input: "^train/gradients/dnn/outputs/MatMul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/outputs/MatMul_grad/MatMul" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/outputs/MatMul_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/outputs/MatMul_grad/MatMul_1" + input: "^train/gradients/dnn/outputs/MatMul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/outputs/MatMul_grad/MatMul_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Shape" + op: "Shape" + input: "dnn/hidden2/mul" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Shape_1" + op: "Shape" + input: "dnn/hidden2/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Shape_2" + op: "Shape" + input: "train/gradients/dnn/outputs/MatMul_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/zeros/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.0 + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/zeros" + op: "Fill" + input: "train/gradients/dnn/hidden2/Maximum_grad/Shape_2" + input: "train/gradients/dnn/hidden2/Maximum_grad/zeros/Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/GreaterEqual" + op: "GreaterEqual" + input: "dnn/hidden2/mul" + input: "dnn/hidden2/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "train/gradients/dnn/hidden2/Maximum_grad/Shape" + input: "train/gradients/dnn/hidden2/Maximum_grad/Shape_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Select" + op: "Select" + input: "train/gradients/dnn/hidden2/Maximum_grad/GreaterEqual" + input: "train/gradients/dnn/outputs/MatMul_grad/tuple/control_dependency" + input: "train/gradients/dnn/hidden2/Maximum_grad/zeros" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Select_1" + op: "Select" + input: "train/gradients/dnn/hidden2/Maximum_grad/GreaterEqual" + input: "train/gradients/dnn/hidden2/Maximum_grad/zeros" + input: "train/gradients/dnn/outputs/MatMul_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Sum" + op: "Sum" + input: "train/gradients/dnn/hidden2/Maximum_grad/Select" + input: "train/gradients/dnn/hidden2/Maximum_grad/BroadcastGradientArgs" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Reshape" + op: "Reshape" + input: "train/gradients/dnn/hidden2/Maximum_grad/Sum" + input: "train/gradients/dnn/hidden2/Maximum_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Sum_1" + op: "Sum" + input: "train/gradients/dnn/hidden2/Maximum_grad/Select_1" + input: "train/gradients/dnn/hidden2/Maximum_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/Reshape_1" + op: "Reshape" + input: "train/gradients/dnn/hidden2/Maximum_grad/Sum_1" + input: "train/gradients/dnn/hidden2/Maximum_grad/Shape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/hidden2/Maximum_grad/Reshape" + input: "^train/gradients/dnn/hidden2/Maximum_grad/Reshape_1" + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/hidden2/Maximum_grad/Reshape" + input: "^train/gradients/dnn/hidden2/Maximum_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/Maximum_grad/Reshape" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/Maximum_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/hidden2/Maximum_grad/Reshape_1" + input: "^train/gradients/dnn/hidden2/Maximum_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/Maximum_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/Shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 1 + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/Shape_1" + op: "Shape" + input: "dnn/hidden2/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "train/gradients/dnn/hidden2/mul_grad/Shape" + input: "train/gradients/dnn/hidden2/mul_grad/Shape_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/mul" + op: "Mul" + input: "train/gradients/dnn/hidden2/Maximum_grad/tuple/control_dependency" + input: "dnn/hidden2/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/Sum" + op: "Sum" + input: "train/gradients/dnn/hidden2/mul_grad/mul" + input: "train/gradients/dnn/hidden2/mul_grad/BroadcastGradientArgs" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/Reshape" + op: "Reshape" + input: "train/gradients/dnn/hidden2/mul_grad/Sum" + input: "train/gradients/dnn/hidden2/mul_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/mul_1" + op: "Mul" + input: "dnn/hidden2/Const" + input: "train/gradients/dnn/hidden2/Maximum_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/Sum_1" + op: "Sum" + input: "train/gradients/dnn/hidden2/mul_grad/mul_1" + input: "train/gradients/dnn/hidden2/mul_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/Reshape_1" + op: "Reshape" + input: "train/gradients/dnn/hidden2/mul_grad/Sum_1" + input: "train/gradients/dnn/hidden2/mul_grad/Shape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/hidden2/mul_grad/Reshape" + input: "^train/gradients/dnn/hidden2/mul_grad/Reshape_1" + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/hidden2/mul_grad/Reshape" + input: "^train/gradients/dnn/hidden2/mul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/mul_grad/Reshape" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/mul_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/hidden2/mul_grad/Reshape_1" + input: "^train/gradients/dnn/hidden2/mul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/mul_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/AddN" + op: "AddN" + input: "train/gradients/dnn/hidden2/Maximum_grad/tuple/control_dependency_1" + input: "train/gradients/dnn/hidden2/mul_grad/tuple/control_dependency_1" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/Maximum_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/Shape" + op: "Shape" + input: "dnn/hidden2/MatMul" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/Shape_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 100 + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "train/gradients/dnn/hidden2/add_grad/Shape" + input: "train/gradients/dnn/hidden2/add_grad/Shape_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/Sum" + op: "Sum" + input: "train/gradients/AddN" + input: "train/gradients/dnn/hidden2/add_grad/BroadcastGradientArgs" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/Reshape" + op: "Reshape" + input: "train/gradients/dnn/hidden2/add_grad/Sum" + input: "train/gradients/dnn/hidden2/add_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/Sum_1" + op: "Sum" + input: "train/gradients/AddN" + input: "train/gradients/dnn/hidden2/add_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/Reshape_1" + op: "Reshape" + input: "train/gradients/dnn/hidden2/add_grad/Sum_1" + input: "train/gradients/dnn/hidden2/add_grad/Shape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/hidden2/add_grad/Reshape" + input: "^train/gradients/dnn/hidden2/add_grad/Reshape_1" + } + node { + name: "train/gradients/dnn/hidden2/add_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/hidden2/add_grad/Reshape" + input: "^train/gradients/dnn/hidden2/add_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/add_grad/Reshape" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/add_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/hidden2/add_grad/Reshape_1" + input: "^train/gradients/dnn/hidden2/add_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/add_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/MatMul_grad/MatMul" + op: "MatMul" + input: "train/gradients/dnn/hidden2/add_grad/tuple/control_dependency" + input: "dnn/hidden2/weights/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: true + } + } + } + node { + name: "train/gradients/dnn/hidden2/MatMul_grad/MatMul_1" + op: "MatMul" + input: "dnn/hidden1/Maximum" + input: "train/gradients/dnn/hidden2/add_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: true + } + } + attr { + key: "transpose_b" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden2/MatMul_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/hidden2/MatMul_grad/MatMul" + input: "^train/gradients/dnn/hidden2/MatMul_grad/MatMul_1" + } + node { + name: "train/gradients/dnn/hidden2/MatMul_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/hidden2/MatMul_grad/MatMul" + input: "^train/gradients/dnn/hidden2/MatMul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/MatMul_grad/MatMul" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden2/MatMul_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/hidden2/MatMul_grad/MatMul_1" + input: "^train/gradients/dnn/hidden2/MatMul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden2/MatMul_grad/MatMul_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Shape" + op: "Shape" + input: "dnn/hidden1/mul" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Shape_1" + op: "Shape" + input: "dnn/hidden1/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Shape_2" + op: "Shape" + input: "train/gradients/dnn/hidden2/MatMul_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/zeros/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.0 + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/zeros" + op: "Fill" + input: "train/gradients/dnn/hidden1/Maximum_grad/Shape_2" + input: "train/gradients/dnn/hidden1/Maximum_grad/zeros/Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/GreaterEqual" + op: "GreaterEqual" + input: "dnn/hidden1/mul" + input: "dnn/hidden1/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "train/gradients/dnn/hidden1/Maximum_grad/Shape" + input: "train/gradients/dnn/hidden1/Maximum_grad/Shape_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Select" + op: "Select" + input: "train/gradients/dnn/hidden1/Maximum_grad/GreaterEqual" + input: "train/gradients/dnn/hidden2/MatMul_grad/tuple/control_dependency" + input: "train/gradients/dnn/hidden1/Maximum_grad/zeros" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Select_1" + op: "Select" + input: "train/gradients/dnn/hidden1/Maximum_grad/GreaterEqual" + input: "train/gradients/dnn/hidden1/Maximum_grad/zeros" + input: "train/gradients/dnn/hidden2/MatMul_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Sum" + op: "Sum" + input: "train/gradients/dnn/hidden1/Maximum_grad/Select" + input: "train/gradients/dnn/hidden1/Maximum_grad/BroadcastGradientArgs" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Reshape" + op: "Reshape" + input: "train/gradients/dnn/hidden1/Maximum_grad/Sum" + input: "train/gradients/dnn/hidden1/Maximum_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Sum_1" + op: "Sum" + input: "train/gradients/dnn/hidden1/Maximum_grad/Select_1" + input: "train/gradients/dnn/hidden1/Maximum_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/Reshape_1" + op: "Reshape" + input: "train/gradients/dnn/hidden1/Maximum_grad/Sum_1" + input: "train/gradients/dnn/hidden1/Maximum_grad/Shape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/hidden1/Maximum_grad/Reshape" + input: "^train/gradients/dnn/hidden1/Maximum_grad/Reshape_1" + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/hidden1/Maximum_grad/Reshape" + input: "^train/gradients/dnn/hidden1/Maximum_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/Maximum_grad/Reshape" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/Maximum_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/hidden1/Maximum_grad/Reshape_1" + input: "^train/gradients/dnn/hidden1/Maximum_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/Maximum_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/Shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/Shape_1" + op: "Shape" + input: "dnn/hidden1/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "train/gradients/dnn/hidden1/mul_grad/Shape" + input: "train/gradients/dnn/hidden1/mul_grad/Shape_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/mul" + op: "Mul" + input: "train/gradients/dnn/hidden1/Maximum_grad/tuple/control_dependency" + input: "dnn/hidden1/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/Sum" + op: "Sum" + input: "train/gradients/dnn/hidden1/mul_grad/mul" + input: "train/gradients/dnn/hidden1/mul_grad/BroadcastGradientArgs" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/Reshape" + op: "Reshape" + input: "train/gradients/dnn/hidden1/mul_grad/Sum" + input: "train/gradients/dnn/hidden1/mul_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/mul_1" + op: "Mul" + input: "dnn/hidden1/mul/x" + input: "train/gradients/dnn/hidden1/Maximum_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/Sum_1" + op: "Sum" + input: "train/gradients/dnn/hidden1/mul_grad/mul_1" + input: "train/gradients/dnn/hidden1/mul_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/Reshape_1" + op: "Reshape" + input: "train/gradients/dnn/hidden1/mul_grad/Sum_1" + input: "train/gradients/dnn/hidden1/mul_grad/Shape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/hidden1/mul_grad/Reshape" + input: "^train/gradients/dnn/hidden1/mul_grad/Reshape_1" + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/hidden1/mul_grad/Reshape" + input: "^train/gradients/dnn/hidden1/mul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/mul_grad/Reshape" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/mul_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/hidden1/mul_grad/Reshape_1" + input: "^train/gradients/dnn/hidden1/mul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/mul_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/AddN_1" + op: "AddN" + input: "train/gradients/dnn/hidden1/Maximum_grad/tuple/control_dependency_1" + input: "train/gradients/dnn/hidden1/mul_grad/tuple/control_dependency_1" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/Maximum_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/Shape" + op: "Shape" + input: "dnn/hidden1/MatMul" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/Shape_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 300 + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "train/gradients/dnn/hidden1/add_grad/Shape" + input: "train/gradients/dnn/hidden1/add_grad/Shape_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/Sum" + op: "Sum" + input: "train/gradients/AddN_1" + input: "train/gradients/dnn/hidden1/add_grad/BroadcastGradientArgs" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/Reshape" + op: "Reshape" + input: "train/gradients/dnn/hidden1/add_grad/Sum" + input: "train/gradients/dnn/hidden1/add_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/Sum_1" + op: "Sum" + input: "train/gradients/AddN_1" + input: "train/gradients/dnn/hidden1/add_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/Reshape_1" + op: "Reshape" + input: "train/gradients/dnn/hidden1/add_grad/Sum_1" + input: "train/gradients/dnn/hidden1/add_grad/Shape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/hidden1/add_grad/Reshape" + input: "^train/gradients/dnn/hidden1/add_grad/Reshape_1" + } + node { + name: "train/gradients/dnn/hidden1/add_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/hidden1/add_grad/Reshape" + input: "^train/gradients/dnn/hidden1/add_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/add_grad/Reshape" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/add_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/hidden1/add_grad/Reshape_1" + input: "^train/gradients/dnn/hidden1/add_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/add_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/MatMul_grad/MatMul" + op: "MatMul" + input: "train/gradients/dnn/hidden1/add_grad/tuple/control_dependency" + input: "dnn/hidden1/weights/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: true + } + } + } + node { + name: "train/gradients/dnn/hidden1/MatMul_grad/MatMul_1" + op: "MatMul" + input: "input" + input: "train/gradients/dnn/hidden1/add_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: true + } + } + attr { + key: "transpose_b" + value { + b: false + } + } + } + node { + name: "train/gradients/dnn/hidden1/MatMul_grad/tuple/group_deps" + op: "NoOp" + input: "^train/gradients/dnn/hidden1/MatMul_grad/MatMul" + input: "^train/gradients/dnn/hidden1/MatMul_grad/MatMul_1" + } + node { + name: "train/gradients/dnn/hidden1/MatMul_grad/tuple/control_dependency" + op: "Identity" + input: "train/gradients/dnn/hidden1/MatMul_grad/MatMul" + input: "^train/gradients/dnn/hidden1/MatMul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/MatMul_grad/MatMul" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + } + } + node { + name: "train/gradients/dnn/hidden1/MatMul_grad/tuple/control_dependency_1" + op: "Identity" + input: "train/gradients/dnn/hidden1/MatMul_grad/MatMul_1" + input: "^train/gradients/dnn/hidden1/MatMul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@train/gradients/dnn/hidden1/MatMul_grad/MatMul_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + } + node { + name: "train/GradientDescent/learning_rate" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.009999999776482582 + } + } + } + } + node { + name: "train/GradientDescent/update_dnn/hidden1/weights/ApplyGradientDescent" + op: "ApplyGradientDescent" + input: "dnn/hidden1/weights" + input: "train/GradientDescent/learning_rate" + input: "train/gradients/dnn/hidden1/MatMul_grad/tuple/control_dependency_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden1/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: false + } + } + } + node { + name: "train/GradientDescent/update_dnn/hidden1/bias/ApplyGradientDescent" + op: "ApplyGradientDescent" + input: "dnn/hidden1/bias" + input: "train/GradientDescent/learning_rate" + input: "train/gradients/dnn/hidden1/add_grad/tuple/control_dependency_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden1/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: false + } + } + } + node { + name: "train/GradientDescent/update_dnn/hidden2/weights/ApplyGradientDescent" + op: "ApplyGradientDescent" + input: "dnn/hidden2/weights" + input: "train/GradientDescent/learning_rate" + input: "train/gradients/dnn/hidden2/MatMul_grad/tuple/control_dependency_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden2/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: false + } + } + } + node { + name: "train/GradientDescent/update_dnn/hidden2/bias/ApplyGradientDescent" + op: "ApplyGradientDescent" + input: "dnn/hidden2/bias" + input: "train/GradientDescent/learning_rate" + input: "train/gradients/dnn/hidden2/add_grad/tuple/control_dependency_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden2/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: false + } + } + } + node { + name: "train/GradientDescent/update_dnn/outputs/weights/ApplyGradientDescent" + op: "ApplyGradientDescent" + input: "dnn/outputs/weights" + input: "train/GradientDescent/learning_rate" + input: "train/gradients/dnn/outputs/MatMul_grad/tuple/control_dependency_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/outputs/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: false + } + } + } + node { + name: "train/GradientDescent/update_dnn/outputs/bias/ApplyGradientDescent" + op: "ApplyGradientDescent" + input: "dnn/outputs/bias" + input: "train/GradientDescent/learning_rate" + input: "train/gradients/dnn/outputs/add_grad/tuple/control_dependency_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/outputs/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: false + } + } + } + node { + name: "train/GradientDescent" + op: "NoOp" + input: "^train/GradientDescent/update_dnn/hidden1/weights/ApplyGradientDescent" + input: "^train/GradientDescent/update_dnn/hidden1/bias/ApplyGradientDescent" + input: "^train/GradientDescent/update_dnn/hidden2/weights/ApplyGradientDescent" + input: "^train/GradientDescent/update_dnn/hidden2/bias/ApplyGradientDescent" + input: "^train/GradientDescent/update_dnn/outputs/weights/ApplyGradientDescent" + input: "^train/GradientDescent/update_dnn/outputs/bias/ApplyGradientDescent" + } + node { + name: "eval/in_top_k/InTopKV2/k" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT64 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT64 + tensor_shape { + } + int64_val: 1 + } + } + } + } + node { + name: "eval/in_top_k/InTopKV2" + op: "InTopKV2" + input: "dnn/outputs/add" + input: "y" + input: "eval/in_top_k/InTopKV2/k" + attr { + key: "T" + value { + type: DT_INT64 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "eval/Cast" + op: "Cast" + input: "eval/in_top_k/InTopKV2" + attr { + key: "DstT" + value { + type: DT_FLOAT + } + } + attr { + key: "SrcT" + value { + type: DT_BOOL + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "eval/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "eval/Mean" + op: "Mean" + input: "eval/Cast" + input: "eval/Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "init" + op: "NoOp" + input: "^dnn/hidden1/weights/Assign" + input: "^dnn/hidden1/bias/Assign" + input: "^dnn/hidden2/weights/Assign" + input: "^dnn/hidden2/bias/Assign" + input: "^dnn/outputs/weights/Assign" + input: "^dnn/outputs/bias/Assign" + } + node { + name: "Accuracy/tags" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + } + string_val: "Accuracy" + } + } + } + } + node { + name: "Accuracy" + op: "ScalarSummary" + input: "Accuracy/tags" + input: "eval/Mean" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "save/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + } + string_val: "model" + } + } + } + } + node { + name: "save/StringJoin/inputs_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + } + string_val: "_temp_af8f34e037d9459f96200d29e33a7078/part" + } + } + } + } + node { + name: "save/StringJoin" + op: "StringJoin" + input: "save/Const" + input: "save/StringJoin/inputs_1" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "separator" + value { + s: "" + } + } + } + node { + name: "save/num_shards" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "save/ShardedFilename/shard" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 0 + } + } + } + } + node { + name: "save/ShardedFilename" + op: "ShardedFilename" + input: "save/StringJoin" + input: "save/ShardedFilename/shard" + input: "save/num_shards" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "save/SaveV2/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 6 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 6 + } + } + string_val: "dnn/hidden1/bias" + string_val: "dnn/hidden1/weights" + string_val: "dnn/hidden2/bias" + string_val: "dnn/hidden2/weights" + string_val: "dnn/outputs/bias" + string_val: "dnn/outputs/weights" + } + } + } + } + node { + name: "save/SaveV2/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 6 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 6 + } + } + string_val: "" + string_val: "" + string_val: "" + string_val: "" + string_val: "" + string_val: "" + } + } + } + } + node { + name: "save/SaveV2" + op: "SaveV2" + input: "save/ShardedFilename" + input: "save/SaveV2/tensor_names" + input: "save/SaveV2/shape_and_slices" + input: "dnn/hidden1/bias" + input: "dnn/hidden1/weights" + input: "dnn/hidden2/bias" + input: "dnn/hidden2/weights" + input: "dnn/outputs/bias" + input: "dnn/outputs/weights" + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + type: DT_FLOAT + type: DT_FLOAT + type: DT_FLOAT + type: DT_FLOAT + type: DT_FLOAT + } + } + } + } + node { + name: "save/control_dependency" + op: "Identity" + input: "save/ShardedFilename" + input: "^save/SaveV2" + attr { + key: "T" + value { + type: DT_STRING + } + } + attr { + key: "_class" + value { + list { + s: "loc:@save/ShardedFilename" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "save/MergeV2Checkpoints/checkpoint_prefixes" + op: "Pack" + input: "save/ShardedFilename" + input: "^save/control_dependency" + attr { + key: "N" + value { + i: 1 + } + } + attr { + key: "T" + value { + type: DT_STRING + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "axis" + value { + i: 0 + } + } + } + node { + name: "save/MergeV2Checkpoints" + op: "MergeV2Checkpoints" + input: "save/MergeV2Checkpoints/checkpoint_prefixes" + input: "save/Const" + attr { + key: "delete_old_dirs" + value { + b: true + } + } + } + node { + name: "save/Identity" + op: "Identity" + input: "save/Const" + input: "^save/control_dependency" + input: "^save/MergeV2Checkpoints" + attr { + key: "T" + value { + type: DT_STRING + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "save/RestoreV2/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "dnn/hidden1/bias" + } + } + } + } + node { + name: "save/RestoreV2/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "" + } + } + } + } + node { + name: "save/RestoreV2" + op: "RestoreV2" + input: "save/Const" + input: "save/RestoreV2/tensor_names" + input: "save/RestoreV2/shape_and_slices" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + } + } + } + } + node { + name: "save/Assign" + op: "Assign" + input: "dnn/hidden1/bias" + input: "save/RestoreV2" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden1/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "save/RestoreV2_1/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "dnn/hidden1/weights" + } + } + } + } + node { + name: "save/RestoreV2_1/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "" + } + } + } + } + node { + name: "save/RestoreV2_1" + op: "RestoreV2" + input: "save/Const" + input: "save/RestoreV2_1/tensor_names" + input: "save/RestoreV2_1/shape_and_slices" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + } + } + } + } + node { + name: "save/Assign_1" + op: "Assign" + input: "dnn/hidden1/weights" + input: "save/RestoreV2_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden1/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 300 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "save/RestoreV2_2/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "dnn/hidden2/bias" + } + } + } + } + node { + name: "save/RestoreV2_2/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "" + } + } + } + } + node { + name: "save/RestoreV2_2" + op: "RestoreV2" + input: "save/Const" + input: "save/RestoreV2_2/tensor_names" + input: "save/RestoreV2_2/shape_and_slices" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + } + } + } + } + node { + name: "save/Assign_2" + op: "Assign" + input: "dnn/hidden2/bias" + input: "save/RestoreV2_2" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden2/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "save/RestoreV2_3/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "dnn/hidden2/weights" + } + } + } + } + node { + name: "save/RestoreV2_3/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "" + } + } + } + } + node { + name: "save/RestoreV2_3" + op: "RestoreV2" + input: "save/Const" + input: "save/RestoreV2_3/tensor_names" + input: "save/RestoreV2_3/shape_and_slices" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + } + } + } + } + node { + name: "save/Assign_3" + op: "Assign" + input: "dnn/hidden2/weights" + input: "save/RestoreV2_3" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/hidden2/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 300 + } + dim { + size: 100 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "save/RestoreV2_4/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "dnn/outputs/bias" + } + } + } + } + node { + name: "save/RestoreV2_4/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "" + } + } + } + } + node { + name: "save/RestoreV2_4" + op: "RestoreV2" + input: "save/Const" + input: "save/RestoreV2_4/tensor_names" + input: "save/RestoreV2_4/shape_and_slices" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + } + } + } + } + node { + name: "save/Assign_4" + op: "Assign" + input: "dnn/outputs/bias" + input: "save/RestoreV2_4" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/outputs/bias" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "save/RestoreV2_5/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "dnn/outputs/weights" + } + } + } + } + node { + name: "save/RestoreV2_5/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "" + } + } + } + } + node { + name: "save/RestoreV2_5" + op: "RestoreV2" + input: "save/Const" + input: "save/RestoreV2_5/tensor_names" + input: "save/RestoreV2_5/shape_and_slices" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + } + } + } + } + node { + name: "save/Assign_5" + op: "Assign" + input: "dnn/outputs/weights" + input: "save/RestoreV2_5" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@dnn/outputs/weights" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 100 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "save/restore_shard" + op: "NoOp" + input: "^save/Assign" + input: "^save/Assign_1" + input: "^save/Assign_2" + input: "^save/Assign_3" + input: "^save/Assign_4" + input: "^save/Assign_5" + } + node { + name: "save/restore_all" + op: "NoOp" + input: "^save/restore_shard" + } + versions { + producer: 24 + } + } + saver_def { + filename_tensor_name: "save/Const:0" + save_tensor_name: "save/Identity:0" + restore_op_name: "save/restore_all" + max_to_keep: 5 + sharded: true + keep_checkpoint_every_n_hours: 10000.0 + version: V2 + } + collection_def { + key: "summaries" + value { + node_list { + value: "Accuracy:0" + } + } + } + collection_def { + key: "train_op" + value { + node_list { + value: "train/GradientDescent" + } + } + } + collection_def { + key: "trainable_variables" + value { + bytes_list { + value: "\n\025dnn/hidden1/weights:0\022\032dnn/hidden1/weights/Assign\032\032dnn/hidden1/weights/read:02\036dnn/hidden1/truncated_normal:0" + value: "\n\022dnn/hidden1/bias:0\022\027dnn/hidden1/bias/Assign\032\027dnn/hidden1/bias/read:02\023dnn/hidden1/zeros:0" + value: "\n\025dnn/hidden2/weights:0\022\032dnn/hidden2/weights/Assign\032\032dnn/hidden2/weights/read:02\036dnn/hidden2/truncated_normal:0" + value: "\n\022dnn/hidden2/bias:0\022\027dnn/hidden2/bias/Assign\032\027dnn/hidden2/bias/read:02\023dnn/hidden2/zeros:0" + value: "\n\025dnn/outputs/weights:0\022\032dnn/outputs/weights/Assign\032\032dnn/outputs/weights/read:02\036dnn/outputs/truncated_normal:0" + value: "\n\022dnn/outputs/bias:0\022\027dnn/outputs/bias/Assign\032\027dnn/outputs/bias/read:02\023dnn/outputs/zeros:0" + } + } + } + collection_def { + key: "variables" + value { + bytes_list { + value: "\n\025dnn/hidden1/weights:0\022\032dnn/hidden1/weights/Assign\032\032dnn/hidden1/weights/read:02\036dnn/hidden1/truncated_normal:0" + value: "\n\022dnn/hidden1/bias:0\022\027dnn/hidden1/bias/Assign\032\027dnn/hidden1/bias/read:02\023dnn/hidden1/zeros:0" + value: "\n\025dnn/hidden2/weights:0\022\032dnn/hidden2/weights/Assign\032\032dnn/hidden2/weights/read:02\036dnn/hidden2/truncated_normal:0" + value: "\n\022dnn/hidden2/bias:0\022\027dnn/hidden2/bias/Assign\032\027dnn/hidden2/bias/read:02\023dnn/hidden2/zeros:0" + value: "\n\025dnn/outputs/weights:0\022\032dnn/outputs/weights/Assign\032\032dnn/outputs/weights/read:02\036dnn/outputs/truncated_normal:0" + value: "\n\022dnn/outputs/bias:0\022\027dnn/outputs/bias/Assign\032\027dnn/outputs/bias/read:02\023dnn/outputs/zeros:0" + } + } + } + signature_def { + key: "serving_default" + value { + inputs { + key: "x" + value { + name: "input:0" + dtype: DT_FLOAT + tensor_shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + outputs { + key: "y" + value { + name: "dnn/outputs/add:0" + dtype: DT_FLOAT + tensor_shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + method_name: "tensorflow/serving/predict" + } + } +} diff --git a/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/variables/variables.data-00000-of-00001 b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/variables/variables.data-00000-of-00001 Binary files differnew file mode 100644 index 00000000000..ed4af6c0f8c --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/variables/variables.data-00000-of-00001 diff --git a/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/variables/variables.index b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/variables/variables.index Binary files differnew file mode 100644 index 00000000000..c877b02b42a --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/variables/variables.index diff --git a/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/simple_mnist.py b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/simple_mnist.py new file mode 100644 index 00000000000..7494e93fa71 --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/simple_mnist.py @@ -0,0 +1,100 @@ +# Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root. + +# Common imports +import numpy as np +import tensorflow as tf + +from tensorflow.examples.tutorials.mnist import input_data +from datetime import datetime + +now = datetime.utcnow().strftime("%Y%m%d%H%M%S") +root_logdir = "tf_logs" +logdir = "{}/run-{}/".format(root_logdir, now) + +mnist = input_data.read_data_sets("/tmp/data/") +X_train = mnist.train.images +X_test = mnist.test.images +y_train = mnist.train.labels.astype("int") +y_test = mnist.test.labels.astype("int") + +n_inputs = 28*28 # MNIST +n_hidden1 = 300 +n_hidden2 = 100 +n_hidden3 = 40 +n_outputs = 10 + +learning_rate = 0.01 +n_epochs = 20 +batch_size = 50 + +input = tf.placeholder(tf.float32, shape=(None, n_inputs), name="input") +y = tf.placeholder(tf.int64, shape=(None), name="y") + + +def neuron_layer(X, n_neurons, name, activation=None): + with tf.name_scope(name): + n_inputs = int(X.get_shape()[1]) + stddev = 2 / np.sqrt(n_inputs) + init = tf.truncated_normal((n_inputs, n_neurons), stddev=stddev) + W = tf.Variable(init, name="weights") + b = tf.Variable(tf.zeros([n_neurons]), name="bias") + Z = tf.matmul(X, W) + b + if activation is not None: + return activation(Z) + else: + return Z + + +def leaky_relu(z, name=None): + return tf.maximum(0.01 * z, z, name=name) + +def leaky_relu_with_small_constant(z, name=None): + return tf.maximum(tf.constant(0.01, shape=[1]) * z, z, name=name) + +with tf.name_scope("dnn"): + hidden1 = neuron_layer(input, n_hidden1, name="hidden1", activation=leaky_relu) + hidden2 = neuron_layer(hidden1, n_hidden2, name="hidden2", activation=leaky_relu_with_small_constant) + logits = neuron_layer(hidden2, n_outputs, name="outputs") #, activation=tf.nn.sigmoid) + +with tf.name_scope("loss"): + xentropy = tf.nn.sparse_softmax_cross_entropy_with_logits(labels=y, logits=logits) + loss = tf.reduce_mean(xentropy, name="loss") + +with tf.name_scope("train"): + optimizer = tf.train.GradientDescentOptimizer(learning_rate) + training_op = optimizer.minimize(loss) + +with tf.name_scope("eval"): + correct = tf.nn.in_top_k(logits, y, 1) + accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) + +init = tf.global_variables_initializer() +accuracy_summary = tf.summary.scalar('Accuracy', accuracy) +file_writer = tf.summary.FileWriter(logdir, tf.get_default_graph()) + +with tf.Session() as sess: + init.run() + for epoch in range(n_epochs): + for iteration in range(mnist.train.num_examples // batch_size): + X_batch, y_batch = mnist.train.next_batch(batch_size) + sess.run(training_op, feed_dict={input: X_batch, y: y_batch}) + acc_train = accuracy.eval(feed_dict={input: X_batch, y: y_batch}) + acc_val = accuracy.eval(feed_dict={input: mnist.validation.images, + y: mnist.validation.labels}) + print(epoch, "Train accuracy:", acc_train, "Val accuracy:", acc_val) + + # Save summary for tensorboard + summary_str = accuracy_summary.eval(feed_dict={input: mnist.validation.images, + y: mnist.validation.labels}) + file_writer.add_summary(summary_str, epoch) + + export_path = "saved" + print('Exporting trained model to ', export_path) + builder = tf.saved_model.builder.SavedModelBuilder(export_path) + signature = tf.saved_model.signature_def_utils.predict_signature_def(inputs = {'x':input}, outputs = {'y':logits}) + builder.add_meta_graph_and_variables(sess, + [tf.saved_model.tag_constants.SERVING], + signature_def_map={'serving_default':signature}) + builder.save(as_text=True) + +file_writer.close() diff --git a/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/mnist_sftmax_with_saving.py b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/mnist_sftmax_with_saving.py new file mode 100644 index 00000000000..3f4f794d2ac --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/mnist_sftmax_with_saving.py @@ -0,0 +1,93 @@ +# Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root. +# Copyright 2015 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== + +"""A very simple MNIST classifier. + +See extensive documentation at +https://www.tensorflow.org/get_started/mnist/beginners +""" +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +import argparse +import sys + +from tensorflow.examples.tutorials.mnist import input_data + +import tensorflow as tf + +FLAGS = None + + +def main(_): + # Import data + mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True) + + # Create the model + x = tf.placeholder(tf.float32, [None, 784]) + + with tf.name_scope("layer"): + W = tf.Variable(tf.zeros([784, 10])) + b = tf.Variable(tf.zeros([10])) + y = tf.matmul(x, W) + b + + + # Define loss and optimizer + y_ = tf.placeholder(tf.float32, [None, 10]) + + # The raw formulation of cross-entropy, + # + # tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(tf.nn.softmax(y)), + # reduction_indices=[1])) + # + # can be numerically unstable. + # + # So here we use tf.nn.softmax_cross_entropy_with_logits on the raw + # outputs of 'y', and then average across the batch. + cross_entropy = tf.reduce_mean( + tf.nn.softmax_cross_entropy_with_logits(labels=y_, logits=y)) + train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy) + + sess = tf.InteractiveSession() + tf.global_variables_initializer().run() + # Train + for _ in range(1000): + batch_xs, batch_ys = mnist.train.next_batch(100) + sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys}) + + # Test trained model + correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1)) + accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32)) + print(sess.run(accuracy, feed_dict={x: mnist.test.images, + y_: mnist.test.labels})) + + # Save the model + export_path = "saved" + print('Exporting trained model to ', export_path) + builder = tf.saved_model.builder.SavedModelBuilder(export_path) + signature = tf.saved_model.signature_def_utils.predict_signature_def(inputs = {'x':x}, outputs = {'y':y}) + builder.add_meta_graph_and_variables(sess, + [tf.saved_model.tag_constants.SERVING], + signature_def_map={'serving_default':signature}) + builder.save(as_text=True) + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument('--data_dir', type=str, default='/tmp/tensorflow/mnist/input_data', + help='Directory for storing input data') + FLAGS, unparsed = parser.parse_known_args() + tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) diff --git a/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/saved_model.pbtxt b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/saved_model.pbtxt new file mode 100644 index 00000000000..05b0e4e0f29 --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/saved_model.pbtxt @@ -0,0 +1,5039 @@ +saved_model_schema_version: 1 +meta_graphs { + meta_info_def { + stripped_op_list { + op { + name: "Add" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_STRING + } + } + } + } + op { + name: "ApplyGradientDescent" + input_arg { + name: "var" + type_attr: "T" + is_ref: true + } + input_arg { + name: "alpha" + type_attr: "T" + } + input_arg { + name: "delta" + type_attr: "T" + } + output_arg { + name: "out" + type_attr: "T" + is_ref: true + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "use_locking" + type: "bool" + default_value { + b: false + } + } + } + op { + name: "ArgMax" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "dimension" + type_attr: "Tidx" + } + output_arg { + name: "output" + type_attr: "output_type" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "Tidx" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + attr { + name: "output_type" + type: "type" + default_value { + type: DT_INT64 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "Assign" + input_arg { + name: "ref" + type_attr: "T" + is_ref: true + } + input_arg { + name: "value" + type_attr: "T" + } + output_arg { + name: "output_ref" + type_attr: "T" + is_ref: true + } + attr { + name: "T" + type: "type" + } + attr { + name: "validate_shape" + type: "bool" + default_value { + b: true + } + } + attr { + name: "use_locking" + type: "bool" + default_value { + b: true + } + } + allows_uninitialized_input: true + } + op { + name: "BroadcastGradientArgs" + input_arg { + name: "s0" + type_attr: "T" + } + input_arg { + name: "s1" + type_attr: "T" + } + output_arg { + name: "r0" + type_attr: "T" + } + output_arg { + name: "r1" + type_attr: "T" + } + attr { + name: "T" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "Cast" + input_arg { + name: "x" + type_attr: "SrcT" + } + output_arg { + name: "y" + type_attr: "DstT" + } + attr { + name: "SrcT" + type: "type" + } + attr { + name: "DstT" + type: "type" + } + } + op { + name: "ConcatV2" + input_arg { + name: "values" + type_attr: "T" + number_attr: "N" + } + input_arg { + name: "axis" + type_attr: "Tidx" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "N" + type: "int" + has_minimum: true + minimum: 2 + } + attr { + name: "T" + type: "type" + } + attr { + name: "Tidx" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "Const" + output_arg { + name: "output" + type_attr: "dtype" + } + attr { + name: "value" + type: "tensor" + } + attr { + name: "dtype" + type: "type" + } + } + op { + name: "Equal" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type: DT_BOOL + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_QUINT8 + type: DT_QINT8 + type: DT_QINT32 + type: DT_STRING + type: DT_BOOL + type: DT_COMPLEX128 + } + } + } + is_commutative: true + } + op { + name: "ExpandDims" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "dim" + type_attr: "Tdim" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "Tdim" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "Fill" + input_arg { + name: "dims" + type: DT_INT32 + } + input_arg { + name: "value" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + } + op { + name: "FloorDiv" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + } + op { + name: "Identity" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + } + op { + name: "MatMul" + input_arg { + name: "a" + type_attr: "T" + } + input_arg { + name: "b" + type_attr: "T" + } + output_arg { + name: "product" + type_attr: "T" + } + attr { + name: "transpose_a" + type: "bool" + default_value { + b: false + } + } + attr { + name: "transpose_b" + type: "bool" + default_value { + b: false + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT32 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + } + op { + name: "Maximum" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT32 + type: DT_INT64 + } + } + } + is_commutative: true + } + op { + name: "Mean" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "reduction_indices" + type_attr: "Tidx" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "keep_dims" + type: "bool" + default_value { + b: false + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "Tidx" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "MergeV2Checkpoints" + input_arg { + name: "checkpoint_prefixes" + type: DT_STRING + } + input_arg { + name: "destination_prefix" + type: DT_STRING + } + attr { + name: "delete_old_dirs" + type: "bool" + default_value { + b: true + } + } + is_stateful: true + } + op { + name: "Mul" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + is_commutative: true + } + op { + name: "NoOp" + } + op { + name: "Pack" + input_arg { + name: "values" + type_attr: "T" + number_attr: "N" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "N" + type: "int" + has_minimum: true + minimum: 1 + } + attr { + name: "T" + type: "type" + } + attr { + name: "axis" + type: "int" + default_value { + i: 0 + } + } + } + op { + name: "Placeholder" + output_arg { + name: "output" + type_attr: "dtype" + } + attr { + name: "dtype" + type: "type" + } + attr { + name: "shape" + type: "shape" + default_value { + shape { + unknown_rank: true + } + } + } + } + op { + name: "Prod" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "reduction_indices" + type_attr: "Tidx" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "keep_dims" + type: "bool" + default_value { + b: false + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "Tidx" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "RealDiv" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + } + op { + name: "Reshape" + input_arg { + name: "tensor" + type_attr: "T" + } + input_arg { + name: "shape" + type_attr: "Tshape" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "Tshape" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "RestoreV2" + input_arg { + name: "prefix" + type: DT_STRING + } + input_arg { + name: "tensor_names" + type: DT_STRING + } + input_arg { + name: "shape_and_slices" + type: DT_STRING + } + output_arg { + name: "tensors" + type_list_attr: "dtypes" + } + attr { + name: "dtypes" + type: "list(type)" + has_minimum: true + minimum: 1 + } + is_stateful: true + } + op { + name: "SaveV2" + input_arg { + name: "prefix" + type: DT_STRING + } + input_arg { + name: "tensor_names" + type: DT_STRING + } + input_arg { + name: "shape_and_slices" + type: DT_STRING + } + input_arg { + name: "tensors" + type_list_attr: "dtypes" + } + attr { + name: "dtypes" + type: "list(type)" + has_minimum: true + minimum: 1 + } + is_stateful: true + } + op { + name: "Shape" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "out_type" + } + attr { + name: "T" + type: "type" + } + attr { + name: "out_type" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "ShardedFilename" + input_arg { + name: "basename" + type: DT_STRING + } + input_arg { + name: "shard" + type: DT_INT32 + } + input_arg { + name: "num_shards" + type: DT_INT32 + } + output_arg { + name: "filename" + type: DT_STRING + } + } + op { + name: "Slice" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "begin" + type_attr: "Index" + } + input_arg { + name: "size" + type_attr: "Index" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "Index" + type: "type" + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "SoftmaxCrossEntropyWithLogits" + input_arg { + name: "features" + type_attr: "T" + } + input_arg { + name: "labels" + type_attr: "T" + } + output_arg { + name: "loss" + type_attr: "T" + } + output_arg { + name: "backprop" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + } + } + } + } + op { + name: "StringJoin" + input_arg { + name: "inputs" + type: DT_STRING + number_attr: "N" + } + output_arg { + name: "output" + type: DT_STRING + } + attr { + name: "N" + type: "int" + has_minimum: true + minimum: 1 + } + attr { + name: "separator" + type: "string" + default_value { + s: "" + } + } + } + op { + name: "Sub" + input_arg { + name: "x" + type_attr: "T" + } + input_arg { + name: "y" + type_attr: "T" + } + output_arg { + name: "z" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_HALF + type: DT_FLOAT + type: DT_DOUBLE + type: DT_UINT8 + type: DT_INT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + } + } + } + } + op { + name: "Sum" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "reduction_indices" + type_attr: "Tidx" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "keep_dims" + type: "bool" + default_value { + b: false + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "Tidx" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "Tile" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "multiples" + type_attr: "Tmultiples" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "Tmultiples" + type: "type" + default_value { + type: DT_INT32 + } + allowed_values { + list { + type: DT_INT32 + type: DT_INT64 + } + } + } + } + op { + name: "VariableV2" + output_arg { + name: "ref" + type_attr: "dtype" + is_ref: true + } + attr { + name: "shape" + type: "shape" + } + attr { + name: "dtype" + type: "type" + } + attr { + name: "container" + type: "string" + default_value { + s: "" + } + } + attr { + name: "shared_name" + type: "string" + default_value { + s: "" + } + } + is_stateful: true + } + op { + name: "ZerosLike" + input_arg { + name: "x" + type_attr: "T" + } + output_arg { + name: "y" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + } + } + tags: "serve" + tensorflow_version: "1.4.1" + tensorflow_git_version: "v1.4.0-19-ga52c8d9" + } + graph_def { + node { + name: "Placeholder" + op: "Placeholder" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + } + node { + name: "Placeholder_1" + op: "Placeholder" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + node { + name: "layer/zeros" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + float_val: 0.0 + } + } + } + } + node { + name: "layer/Variable" + op: "VariableV2" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + attr { + key: "shared_name" + value { + s: "" + } + } + } + node { + name: "layer/Variable/Assign" + op: "Assign" + input: "layer/Variable" + input: "layer/zeros" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@layer/Variable" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "layer/Variable/read" + op: "Identity" + input: "layer/Variable" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@layer/Variable" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "layer/zeros_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 10 + } + } + float_val: 0.0 + } + } + } + } + node { + name: "layer/Variable_1" + op: "VariableV2" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 10 + } + } + } + } + attr { + key: "shared_name" + value { + s: "" + } + } + } + node { + name: "layer/Variable_1/Assign" + op: "Assign" + input: "layer/Variable_1" + input: "layer/zeros_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@layer/Variable_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "layer/Variable_1/read" + op: "Identity" + input: "layer/Variable_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@layer/Variable_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + } + node { + name: "layer/MatMul" + op: "MatMul" + input: "Placeholder" + input: "layer/Variable/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: false + } + } + } + node { + name: "layer/add" + op: "Add" + input: "layer/MatMul" + input: "layer/Variable_1/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "Rank" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 2 + } + } + } + } + node { + name: "Shape" + op: "Shape" + input: "layer/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "Rank_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 2 + } + } + } + } + node { + name: "Shape_1" + op: "Shape" + input: "layer/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "Sub/y" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "Sub" + op: "Sub" + input: "Rank_1" + input: "Sub/y" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "Slice/begin" + op: "Pack" + input: "Sub" + attr { + key: "N" + value { + i: 1 + } + } + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "axis" + value { + i: 0 + } + } + } + node { + name: "Slice/size" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 1 + } + } + } + } + node { + name: "Slice" + op: "Slice" + input: "Shape_1" + input: "Slice/begin" + input: "Slice/size" + attr { + key: "Index" + value { + type: DT_INT32 + } + } + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + } + node { + name: "concat/values_0" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: -1 + } + } + } + } + node { + name: "concat/axis" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 0 + } + } + } + } + node { + name: "concat" + op: "ConcatV2" + input: "concat/values_0" + input: "Slice" + input: "concat/axis" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + } + node { + name: "Reshape" + op: "Reshape" + input: "layer/add" + input: "concat" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + } + } + } + } + node { + name: "Rank_2" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 2 + } + } + } + } + node { + name: "Shape_2" + op: "Shape" + input: "Placeholder_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "Sub_1/y" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "Sub_1" + op: "Sub" + input: "Rank_2" + input: "Sub_1/y" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "Slice_1/begin" + op: "Pack" + input: "Sub_1" + attr { + key: "N" + value { + i: 1 + } + } + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "axis" + value { + i: 0 + } + } + } + node { + name: "Slice_1/size" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 1 + } + } + } + } + node { + name: "Slice_1" + op: "Slice" + input: "Shape_2" + input: "Slice_1/begin" + input: "Slice_1/size" + attr { + key: "Index" + value { + type: DT_INT32 + } + } + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + } + node { + name: "concat_1/values_0" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: -1 + } + } + } + } + node { + name: "concat_1/axis" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 0 + } + } + } + } + node { + name: "concat_1" + op: "ConcatV2" + input: "concat_1/values_0" + input: "Slice_1" + input: "concat_1/axis" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + } + node { + name: "Reshape_1" + op: "Reshape" + input: "Placeholder_1" + input: "concat_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + } + } + } + } + node { + name: "SoftmaxCrossEntropyWithLogits" + op: "SoftmaxCrossEntropyWithLogits" + input: "Reshape" + input: "Reshape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + } + } + } + } + node { + name: "Sub_2/y" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "Sub_2" + op: "Sub" + input: "Rank" + input: "Sub_2/y" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "Slice_2/begin" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "Slice_2/size" + op: "Pack" + input: "Sub_2" + attr { + key: "N" + value { + i: 1 + } + } + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "axis" + value { + i: 0 + } + } + } + node { + name: "Slice_2" + op: "Slice" + input: "Shape" + input: "Slice_2/begin" + input: "Slice_2/size" + attr { + key: "Index" + value { + type: DT_INT32 + } + } + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "Reshape_2" + op: "Reshape" + input: "SoftmaxCrossEntropyWithLogits" + input: "Slice_2" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "Mean" + op: "Mean" + input: "Reshape_2" + input: "Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "gradients/Shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } + } + } + } + } + } + node { + name: "gradients/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 1.0 + } + } + } + } + node { + name: "gradients/Fill" + op: "Fill" + input: "gradients/Shape" + input: "gradients/Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "gradients/Mean_grad/Reshape/shape" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 1 + } + } + } + } + node { + name: "gradients/Mean_grad/Reshape" + op: "Reshape" + input: "gradients/Fill" + input: "gradients/Mean_grad/Reshape/shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + } + node { + name: "gradients/Mean_grad/Shape" + op: "Shape" + input: "Reshape_2" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "gradients/Mean_grad/Tile" + op: "Tile" + input: "gradients/Mean_grad/Reshape" + input: "gradients/Mean_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tmultiples" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "gradients/Mean_grad/Shape_1" + op: "Shape" + input: "Reshape_2" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "gradients/Mean_grad/Shape_2" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } + } + } + } + } + } + node { + name: "gradients/Mean_grad/Const" + op: "Const" + attr { + key: "_class" + value { + list { + s: "loc:@gradients/Mean_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "gradients/Mean_grad/Prod" + op: "Prod" + input: "gradients/Mean_grad/Shape_1" + input: "gradients/Mean_grad/Const" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/Mean_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "gradients/Mean_grad/Const_1" + op: "Const" + attr { + key: "_class" + value { + list { + s: "loc:@gradients/Mean_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "gradients/Mean_grad/Prod_1" + op: "Prod" + input: "gradients/Mean_grad/Shape_2" + input: "gradients/Mean_grad/Const_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/Mean_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "gradients/Mean_grad/Maximum/y" + op: "Const" + attr { + key: "_class" + value { + list { + s: "loc:@gradients/Mean_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "gradients/Mean_grad/Maximum" + op: "Maximum" + input: "gradients/Mean_grad/Prod_1" + input: "gradients/Mean_grad/Maximum/y" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/Mean_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "gradients/Mean_grad/floordiv" + op: "FloorDiv" + input: "gradients/Mean_grad/Prod" + input: "gradients/Mean_grad/Maximum" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/Mean_grad/Shape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "gradients/Mean_grad/Cast" + op: "Cast" + input: "gradients/Mean_grad/floordiv" + attr { + key: "DstT" + value { + type: DT_FLOAT + } + } + attr { + key: "SrcT" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "gradients/Mean_grad/truediv" + op: "RealDiv" + input: "gradients/Mean_grad/Tile" + input: "gradients/Mean_grad/Cast" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "gradients/Reshape_2_grad/Shape" + op: "Shape" + input: "SoftmaxCrossEntropyWithLogits" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "gradients/Reshape_2_grad/Reshape" + op: "Reshape" + input: "gradients/Mean_grad/truediv" + input: "gradients/Reshape_2_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "gradients/zeros_like" + op: "ZerosLike" + input: "SoftmaxCrossEntropyWithLogits:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + } + } + } + } + node { + name: "gradients/SoftmaxCrossEntropyWithLogits_grad/ExpandDims/dim" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: -1 + } + } + } + } + node { + name: "gradients/SoftmaxCrossEntropyWithLogits_grad/ExpandDims" + op: "ExpandDims" + input: "gradients/Reshape_2_grad/Reshape" + input: "gradients/SoftmaxCrossEntropyWithLogits_grad/ExpandDims/dim" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tdim" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 1 + } + } + } + } + } + } + node { + name: "gradients/SoftmaxCrossEntropyWithLogits_grad/mul" + op: "Mul" + input: "gradients/SoftmaxCrossEntropyWithLogits_grad/ExpandDims" + input: "SoftmaxCrossEntropyWithLogits:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + } + } + } + } + node { + name: "gradients/Reshape_grad/Shape" + op: "Shape" + input: "layer/add" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "gradients/Reshape_grad/Reshape" + op: "Reshape" + input: "gradients/SoftmaxCrossEntropyWithLogits_grad/mul" + input: "gradients/Reshape_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "gradients/layer/add_grad/Shape" + op: "Shape" + input: "layer/MatMul" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } + } + node { + name: "gradients/layer/add_grad/Shape_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 10 + } + } + } + } + node { + name: "gradients/layer/add_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "gradients/layer/add_grad/Shape" + input: "gradients/layer/add_grad/Shape_1" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "gradients/layer/add_grad/Sum" + op: "Sum" + input: "gradients/Reshape_grad/Reshape" + input: "gradients/layer/add_grad/BroadcastGradientArgs" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "gradients/layer/add_grad/Reshape" + op: "Reshape" + input: "gradients/layer/add_grad/Sum" + input: "gradients/layer/add_grad/Shape" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "gradients/layer/add_grad/Sum_1" + op: "Sum" + input: "gradients/Reshape_grad/Reshape" + input: "gradients/layer/add_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "gradients/layer/add_grad/Reshape_1" + op: "Reshape" + input: "gradients/layer/add_grad/Sum_1" + input: "gradients/layer/add_grad/Shape_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + } + node { + name: "gradients/layer/add_grad/tuple/group_deps" + op: "NoOp" + input: "^gradients/layer/add_grad/Reshape" + input: "^gradients/layer/add_grad/Reshape_1" + } + node { + name: "gradients/layer/add_grad/tuple/control_dependency" + op: "Identity" + input: "gradients/layer/add_grad/Reshape" + input: "^gradients/layer/add_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/layer/add_grad/Reshape" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "gradients/layer/add_grad/tuple/control_dependency_1" + op: "Identity" + input: "gradients/layer/add_grad/Reshape_1" + input: "^gradients/layer/add_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/layer/add_grad/Reshape_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + } + node { + name: "gradients/layer/MatMul_grad/MatMul" + op: "MatMul" + input: "gradients/layer/add_grad/tuple/control_dependency" + input: "layer/Variable/read" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: true + } + } + } + node { + name: "gradients/layer/MatMul_grad/MatMul_1" + op: "MatMul" + input: "Placeholder" + input: "gradients/layer/add_grad/tuple/control_dependency" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "transpose_a" + value { + b: true + } + } + attr { + key: "transpose_b" + value { + b: false + } + } + } + node { + name: "gradients/layer/MatMul_grad/tuple/group_deps" + op: "NoOp" + input: "^gradients/layer/MatMul_grad/MatMul" + input: "^gradients/layer/MatMul_grad/MatMul_1" + } + node { + name: "gradients/layer/MatMul_grad/tuple/control_dependency" + op: "Identity" + input: "gradients/layer/MatMul_grad/MatMul" + input: "^gradients/layer/MatMul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/layer/MatMul_grad/MatMul" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + } + } + node { + name: "gradients/layer/MatMul_grad/tuple/control_dependency_1" + op: "Identity" + input: "gradients/layer/MatMul_grad/MatMul_1" + input: "^gradients/layer/MatMul_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/layer/MatMul_grad/MatMul_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + } + } + node { + name: "GradientDescent/learning_rate" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.5 + } + } + } + } + node { + name: "GradientDescent/update_layer/Variable/ApplyGradientDescent" + op: "ApplyGradientDescent" + input: "layer/Variable" + input: "GradientDescent/learning_rate" + input: "gradients/layer/MatMul_grad/tuple/control_dependency_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@layer/Variable" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: false + } + } + } + node { + name: "GradientDescent/update_layer/Variable_1/ApplyGradientDescent" + op: "ApplyGradientDescent" + input: "layer/Variable_1" + input: "GradientDescent/learning_rate" + input: "gradients/layer/add_grad/tuple/control_dependency_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@layer/Variable_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: false + } + } + } + node { + name: "GradientDescent" + op: "NoOp" + input: "^GradientDescent/update_layer/Variable/ApplyGradientDescent" + input: "^GradientDescent/update_layer/Variable_1/ApplyGradientDescent" + } + node { + name: "init" + op: "NoOp" + input: "^layer/Variable/Assign" + input: "^layer/Variable_1/Assign" + } + node { + name: "ArgMax/dimension" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "ArgMax" + op: "ArgMax" + input: "layer/add" + input: "ArgMax/dimension" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + attr { + key: "output_type" + value { + type: DT_INT64 + } + } + } + node { + name: "ArgMax_1/dimension" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "ArgMax_1" + op: "ArgMax" + input: "Placeholder_1" + input: "ArgMax_1/dimension" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + attr { + key: "output_type" + value { + type: DT_INT64 + } + } + } + node { + name: "Equal" + op: "Equal" + input: "ArgMax" + input: "ArgMax_1" + attr { + key: "T" + value { + type: DT_INT64 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "Cast_1" + op: "Cast" + input: "Equal" + attr { + key: "DstT" + value { + type: DT_FLOAT + } + } + attr { + key: "SrcT" + value { + type: DT_BOOL + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } + } + node { + name: "Const_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 1 + } + } + int_val: 0 + } + } + } + } + node { + name: "Mean_1" + op: "Mean" + input: "Cast_1" + input: "Const_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "keep_dims" + value { + b: false + } + } + } + node { + name: "save/Const" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + } + string_val: "model" + } + } + } + } + node { + name: "save/StringJoin/inputs_1" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + } + string_val: "_temp_65caff16d5244276b9828b0dab21b157/part" + } + } + } + } + node { + name: "save/StringJoin" + op: "StringJoin" + input: "save/Const" + input: "save/StringJoin/inputs_1" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "separator" + value { + s: "" + } + } + } + node { + name: "save/num_shards" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 1 + } + } + } + } + node { + name: "save/ShardedFilename/shard" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 0 + } + } + } + } + node { + name: "save/ShardedFilename" + op: "ShardedFilename" + input: "save/StringJoin" + input: "save/ShardedFilename/shard" + input: "save/num_shards" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "save/SaveV2/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 2 + } + } + string_val: "layer/Variable" + string_val: "layer/Variable_1" + } + } + } + } + node { + name: "save/SaveV2/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 2 + } + } + string_val: "" + string_val: "" + } + } + } + } + node { + name: "save/SaveV2" + op: "SaveV2" + input: "save/ShardedFilename" + input: "save/SaveV2/tensor_names" + input: "save/SaveV2/shape_and_slices" + input: "layer/Variable" + input: "layer/Variable_1" + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + type: DT_FLOAT + } + } + } + } + node { + name: "save/control_dependency" + op: "Identity" + input: "save/ShardedFilename" + input: "^save/SaveV2" + attr { + key: "T" + value { + type: DT_STRING + } + } + attr { + key: "_class" + value { + list { + s: "loc:@save/ShardedFilename" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "save/MergeV2Checkpoints/checkpoint_prefixes" + op: "Pack" + input: "save/ShardedFilename" + input: "^save/control_dependency" + attr { + key: "N" + value { + i: 1 + } + } + attr { + key: "T" + value { + type: DT_STRING + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "axis" + value { + i: 0 + } + } + } + node { + name: "save/MergeV2Checkpoints" + op: "MergeV2Checkpoints" + input: "save/MergeV2Checkpoints/checkpoint_prefixes" + input: "save/Const" + attr { + key: "delete_old_dirs" + value { + b: true + } + } + } + node { + name: "save/Identity" + op: "Identity" + input: "save/Const" + input: "^save/control_dependency" + input: "^save/MergeV2Checkpoints" + attr { + key: "T" + value { + type: DT_STRING + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + node { + name: "save/RestoreV2/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "layer/Variable" + } + } + } + } + node { + name: "save/RestoreV2/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "" + } + } + } + } + node { + name: "save/RestoreV2" + op: "RestoreV2" + input: "save/Const" + input: "save/RestoreV2/tensor_names" + input: "save/RestoreV2/shape_and_slices" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + } + } + } + } + node { + name: "save/Assign" + op: "Assign" + input: "layer/Variable" + input: "save/RestoreV2" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@layer/Variable" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 784 + } + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "save/RestoreV2_1/tensor_names" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "layer/Variable_1" + } + } + } + } + node { + name: "save/RestoreV2_1/shape_and_slices" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 1 + } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 1 + } + } + string_val: "" + } + } + } + } + node { + name: "save/RestoreV2_1" + op: "RestoreV2" + input: "save/Const" + input: "save/RestoreV2_1/tensor_names" + input: "save/RestoreV2_1/shape_and_slices" + attr { + key: "_output_shapes" + value { + list { + shape { + unknown_rank: true + } + } + } + } + attr { + key: "dtypes" + value { + list { + type: DT_FLOAT + } + } + } + } + node { + name: "save/Assign_1" + op: "Assign" + input: "layer/Variable_1" + input: "save/RestoreV2_1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@layer/Variable_1" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 10 + } + } + } + } + } + attr { + key: "use_locking" + value { + b: true + } + } + attr { + key: "validate_shape" + value { + b: true + } + } + } + node { + name: "save/restore_shard" + op: "NoOp" + input: "^save/Assign" + input: "^save/Assign_1" + } + node { + name: "save/restore_all" + op: "NoOp" + input: "^save/restore_shard" + } + versions { + producer: 24 + } + } + saver_def { + filename_tensor_name: "save/Const:0" + save_tensor_name: "save/Identity:0" + restore_op_name: "save/restore_all" + max_to_keep: 5 + sharded: true + keep_checkpoint_every_n_hours: 10000.0 + version: V2 + } + collection_def { + key: "train_op" + value { + node_list { + value: "GradientDescent" + } + } + } + collection_def { + key: "trainable_variables" + value { + bytes_list { + value: "\n\020layer/Variable:0\022\025layer/Variable/Assign\032\025layer/Variable/read:02\rlayer/zeros:0" + value: "\n\022layer/Variable_1:0\022\027layer/Variable_1/Assign\032\027layer/Variable_1/read:02\017layer/zeros_1:0" + } + } + } + collection_def { + key: "variables" + value { + bytes_list { + value: "\n\020layer/Variable:0\022\025layer/Variable/Assign\032\025layer/Variable/read:02\rlayer/zeros:0" + value: "\n\022layer/Variable_1:0\022\027layer/Variable_1/Assign\032\027layer/Variable_1/read:02\017layer/zeros_1:0" + } + } + } + signature_def { + key: "serving_default" + value { + inputs { + key: "x" + value { + name: "Placeholder:0" + dtype: DT_FLOAT + tensor_shape { + dim { + size: -1 + } + dim { + size: 784 + } + } + } + } + outputs { + key: "y" + value { + name: "layer/add:0" + dtype: DT_FLOAT + tensor_shape { + dim { + size: -1 + } + dim { + size: 10 + } + } + } + } + method_name: "tensorflow/serving/predict" + } + } +} diff --git a/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/variables/variables.data-00000-of-00001 b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/variables/variables.data-00000-of-00001 Binary files differnew file mode 100644 index 00000000000..826b0280abf --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/variables/variables.data-00000-of-00001 diff --git a/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/variables/variables.index b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/variables/variables.index Binary files differnew file mode 100644 index 00000000000..d00fc5b06ed --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/tensorflow/mnist_softmax/saved/variables/variables.index diff --git a/application/src/test/app-packages/model-evaluation/models/vespa/constant1asLarge.json b/application/src/test/app-packages/model-evaluation/models/vespa/constant1asLarge.json new file mode 100644 index 00000000000..d2944d255af --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/vespa/constant1asLarge.json @@ -0,0 +1,7 @@ +{ + "cells": [ + { "address": { "x": "0" }, "value": 0.5 }, + { "address": { "x": "1" }, "value": 1.5 }, + { "address": { "x": "2" }, "value": 2.5 } + ] +}
\ No newline at end of file diff --git a/application/src/test/app-packages/model-evaluation/models/vespa/example.model b/application/src/test/app-packages/model-evaluation/models/vespa/example.model new file mode 100644 index 00000000000..e9725d14923 --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/vespa/example.model @@ -0,0 +1,25 @@ +model example { + + # All inputs that are not scalar (aka 0-dimensional tensor) must be declared + input1: tensor(name{}, x[3]) + input2: tensor(x[3]) + + constants { + constant1: tensor(x[3]):{{x:0}:0.5, {x:1}:1.5, {x:2}:2.5} + constant2: 3.0 + } + + constant constant1asLarge { + type: tensor(x[3]) + file: constant1asLarge.json + } + + function foo1() { + expression: max(sum(input1 * input2, name) * constant1, x) * constant2 + } + + function foo2() { + expression: max(sum(input1 * input2, name) * constant(constant1asLarge), x) * constant2 + } + +}
\ No newline at end of file diff --git a/application/src/test/app-packages/model-evaluation/models/xgboost/xgboost.2.2.json b/application/src/test/app-packages/model-evaluation/models/xgboost/xgboost.2.2.json new file mode 100644 index 00000000000..f8949b47e52 --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/models/xgboost/xgboost.2.2.json @@ -0,0 +1,19 @@ +[ + { "nodeid": 0, "depth": 0, "split": "f29", "split_condition": -0.1234567, "yes": 1, "no": 2, "missing": 1, "children": [ + { "nodeid": 1, "depth": 1, "split": "f56", "split_condition": -0.242398, "yes": 3, "no": 4, "missing": 3, "children": [ + { "nodeid": 3, "leaf": 1.71218 }, + { "nodeid": 4, "leaf": -1.70044 } + ]}, + { "nodeid": 2, "depth": 1, "split": "f109", "split_condition": 0.8723473, "yes": 5, "no": 6, "missing": 5, "children": [ + { "nodeid": 5, "leaf": -1.94071 }, + { "nodeid": 6, "leaf": 1.85965 } + ]} + ]}, + { "nodeid": 0, "depth": 0, "split": "f60", "split_condition": -0.482947, "yes": 1, "no": 2, "missing": 1, "children": [ + { "nodeid": 1, "depth": 1, "split": "f29", "split_condition": -4.2387498, "yes": 3, "no": 4, "missing": 3, "children": [ + { "nodeid": 3, "leaf": 0.784718 }, + { "nodeid": 4, "leaf": -0.96853 } + ]}, + { "nodeid": 2, "leaf": -6.23624 } + ]} +]
\ No newline at end of file diff --git a/application/src/test/app-packages/model-evaluation/services.xml b/application/src/test/app-packages/model-evaluation/services.xml new file mode 100644 index 00000000000..88f9ba14abe --- /dev/null +++ b/application/src/test/app-packages/model-evaluation/services.xml @@ -0,0 +1,3 @@ +<container version="1.0"> + <model-evaluation/> +</container> diff --git a/application/src/test/java/com/yahoo/application/container/JDiscContainerDocprocTest.java b/application/src/test/java/com/yahoo/application/container/ContainerDocprocTest.java index 2a363916fa3..fddd41e7cc2 100644 --- a/application/src/test/java/com/yahoo/application/container/JDiscContainerDocprocTest.java +++ b/application/src/test/java/com/yahoo/application/container/ContainerDocprocTest.java @@ -25,7 +25,7 @@ import static org.junit.Assert.assertTrue; /** * @author Einar M R Rosenvinge */ -public class JDiscContainerDocprocTest { +public class ContainerDocprocTest { private static final String DOCUMENT = "document music {\n" + " field title type string { }\n" diff --git a/application/src/test/java/com/yahoo/application/container/ContainerModelEvaluationTest.java b/application/src/test/java/com/yahoo/application/container/ContainerModelEvaluationTest.java new file mode 100644 index 00000000000..75c18f29b29 --- /dev/null +++ b/application/src/test/java/com/yahoo/application/container/ContainerModelEvaluationTest.java @@ -0,0 +1,73 @@ +// Copyright 2019 Oath Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root. +package com.yahoo.application.container; + +import com.sun.xml.bind.api.impl.NameConverter; +import com.yahoo.application.Application; +import com.yahoo.application.Networking; +import com.yahoo.application.container.handler.Request; +import com.yahoo.application.container.handler.Response; +import com.yahoo.container.jdisc.HttpRequest; +import com.yahoo.container.jdisc.HttpResponse; +import com.yahoo.tensor.Tensor; +import com.yahoo.tensor.TensorType; +import org.junit.Test; + +import java.io.ByteArrayOutputStream; +import java.io.File; +import java.io.IOException; +import java.net.URLEncoder; +import java.nio.charset.CharacterCodingException; +import java.nio.charset.StandardCharsets; +import java.util.Map; + +import static org.junit.Assert.assertEquals; + +/** + * Verify that we can create a JDisc (and hence Application) instance capable of doing model evaluation + * + * @author bratseth + */ +public class ContainerModelEvaluationTest { + + @Test + public void testCreateJDiscInstanceWithModelEvaluation() { + try (Application application = + Application.fromApplicationPackage(new File("src/test/app-packages/model-evaluation"), + Networking.disable)) { + { + String expected = "{\"xgboost_xgboost_2_2\":\"http://localhost/model-evaluation/v1/xgboost_xgboost_2_2\",\"onnx_mnist_softmax\":\"http://localhost/model-evaluation/v1/onnx_mnist_softmax\",\"tensorflow_mnist_softmax_saved\":\"http://localhost/model-evaluation/v1/tensorflow_mnist_softmax_saved\",\"tensorflow_mnist_saved\":\"http://localhost/model-evaluation/v1/tensorflow_mnist_saved\",\"vespa_example\":\"http://localhost/model-evaluation/v1/vespa_example\"}"; + assertResponse("http://localhost/model-evaluation/v1", expected, application); + } + + { + String expected = "{\"cells\":[{\"address\":{},\"value\":-8.17695}]}"; + assertResponse("http://localhost/model-evaluation/v1/xgboost_xgboost_2_2/eval", expected, application); + } + + { + // Note: The specific response value here has not been verified + String expected = "{\"cells\":[{\"address\":{\"d0\":\"0\",\"d1\":\"0\"},\"value\":-0.5066885003407351},{\"address\":{\"d0\":\"0\",\"d1\":\"1\"},\"value\":0.3912837743150205},{\"address\":{\"d0\":\"0\",\"d1\":\"2\"},\"value\":-0.12401806321703948},{\"address\":{\"d0\":\"0\",\"d1\":\"3\"},\"value\":-0.7019029168606575},{\"address\":{\"d0\":\"0\",\"d1\":\"4\"},\"value\":0.13120114146441697},{\"address\":{\"d0\":\"0\",\"d1\":\"5\"},\"value\":0.6611923203384626},{\"address\":{\"d0\":\"0\",\"d1\":\"6\"},\"value\":-0.22365810810026446},{\"address\":{\"d0\":\"0\",\"d1\":\"7\"},\"value\":-0.0740018307465809},{\"address\":{\"d0\":\"0\",\"d1\":\"8\"},\"value\":0.056492490256153896},{\"address\":{\"d0\":\"0\",\"d1\":\"9\"},\"value\":-0.18422015072393733}]}"; + assertResponse("http://localhost/model-evaluation/v1/tensorflow_mnist_saved/serving_default.y/eval?input=" + inputTensor(), expected, application); + } + } + } + + private void assertResponse(String url, String expectedResponse, Application application) { + try { + Response response = application.getJDisc("default").handleRequest(new Request(url)); + assertEquals(expectedResponse, response.getBodyAsString()); + assertEquals(200, response.getStatus()); + } + catch (CharacterCodingException e) { + throw new RuntimeException(e); + } + } + + private String inputTensor() { + Tensor.Builder b = Tensor.Builder.of(TensorType.fromSpec("tensor(d0[],d1[784])")); + for (int i = 0; i < 784; i++) + b.cell(0.0, 0, i); + return URLEncoder.encode(b.build().toString(), StandardCharsets.UTF_8); + } + +} diff --git a/application/src/test/java/com/yahoo/application/container/JDiscContainerProcessingTest.java b/application/src/test/java/com/yahoo/application/container/ContainerProcessingTest.java index 443b938693f..36657caeb40 100644 --- a/application/src/test/java/com/yahoo/application/container/JDiscContainerProcessingTest.java +++ b/application/src/test/java/com/yahoo/application/container/ContainerProcessingTest.java @@ -18,7 +18,7 @@ import static org.junit.Assert.assertThat; /** * @author Einar M R Rosenvinge */ -public class JDiscContainerProcessingTest { +public class ContainerProcessingTest { private static String getXML(String chainName, String... processorIds) { String xml = diff --git a/application/src/test/java/com/yahoo/application/container/JDiscContainerRequestTest.java b/application/src/test/java/com/yahoo/application/container/ContainerRequestTest.java index 9f5555069cd..8f3e7693bc5 100644 --- a/application/src/test/java/com/yahoo/application/container/JDiscContainerRequestTest.java +++ b/application/src/test/java/com/yahoo/application/container/ContainerRequestTest.java @@ -22,7 +22,7 @@ import static org.junit.Assert.assertThat; /** * @author Einar M R Rosenvinge */ -public class JDiscContainerRequestTest { +public class ContainerRequestTest { private static String getXML(String className, String binding) { return "<container version=\"1.0\">\n" + @@ -37,7 +37,7 @@ public class JDiscContainerRequestTest { } @Test - public void requireThatRequestBodyWorks() throws InterruptedException, CharacterCodingException { + public void requireThatRequestBodyWorks() throws CharacterCodingException { String DATA = "we have no bananas today"; Request req = new Request("http://banana/echo", DATA.getBytes(Utf8.getCharset())); @@ -50,7 +50,7 @@ public class JDiscContainerRequestTest { } @Test - public void requireThatCustomRequestHeadersWork() throws InterruptedException { + public void requireThatCustomRequestHeadersWork() { Request req = new Request("http://banana/echo"); req.getHeaders().add("X-Foo", "Bar"); @@ -63,7 +63,7 @@ public class JDiscContainerRequestTest { } @Test(expected = WriteException.class) - public void requireThatRequestHandlerThatThrowsInWriteWorks() throws InterruptedException { + public void requireThatRequestHandlerThatThrowsInWriteWorks() { String DATA = "we have no bananas today"; Request req = new Request("http://banana/throwwrite", DATA.getBytes(Utf8.getCharset())); @@ -73,9 +73,8 @@ public class JDiscContainerRequestTest { } } - @Test(expected = DelayedWriteException.class) - public void requireThatRequestHandlerThatThrowsDelayedInWriteWorks() throws InterruptedException { + public void requireThatRequestHandlerThatThrowsDelayedInWriteWorks() { String DATA = "we have no bananas today"; Request req = new Request("http://banana/delayedthrowwrite", DATA.getBytes(Utf8.getCharset())); @@ -83,6 +82,7 @@ public class JDiscContainerRequestTest { Response response = container.handleRequest(req); req.toString(); } + } } diff --git a/application/src/test/java/com/yahoo/application/container/JDiscContainerSearchTest.java b/application/src/test/java/com/yahoo/application/container/ContainerSearchTest.java index b7445d13a17..d133b71b8da 100644 --- a/application/src/test/java/com/yahoo/application/container/JDiscContainerSearchTest.java +++ b/application/src/test/java/com/yahoo/application/container/ContainerSearchTest.java @@ -16,7 +16,8 @@ import static org.junit.Assert.assertThat; * @author gjoranv * @author ollivir */ -public class JDiscContainerSearchTest { +public class ContainerSearchTest { + @Test public void processing_and_rendering_works() throws Exception { final String searcherId = AddHitSearcher.class.getName(); @@ -30,7 +31,7 @@ public class JDiscContainerSearchTest { } @Test - public void searching_works() throws Exception { + public void searching_works() { final String searcherId = AddHitSearcher.class.getName(); try (JDisc container = containerWithSearch(searcherId)) { @@ -52,9 +53,10 @@ public class JDiscContainerSearchTest { } @Test(expected = UnsupportedOperationException.class) - public void retrieving_search_from_container_without_search_is_illegal() throws Exception { + public void retrieving_search_from_container_without_search_is_illegal() { try (JDisc container = JDisc.fromServicesXml("<container version=\"1.0\" />", Networking.disable)) { container.search(); // throws } + } } diff --git a/application/src/test/java/com/yahoo/application/container/JDiscTest.java b/application/src/test/java/com/yahoo/application/container/ContainerTest.java index 86a96d04848..e44916d2ec4 100644 --- a/application/src/test/java/com/yahoo/application/container/JDiscTest.java +++ b/application/src/test/java/com/yahoo/application/container/ContainerTest.java @@ -32,9 +32,10 @@ import static org.junit.Assert.fail; * @author gjoranv * @author ollivir */ -public class JDiscTest { +public class ContainerTest { + @Test - public void jdisc_can_be_used_as_top_level_element() throws Exception { + public void jdisc_can_be_used_as_top_level_element() { try (JDisc container = fromServicesXml("<jdisc version=\"1.0\">" + // "<search />" + // "</jdisc>", Networking.disable)) { @@ -43,7 +44,7 @@ public class JDiscTest { } @Test - public void jdisc_id_can_be_set() throws Exception { + public void jdisc_id_can_be_set() { try (JDisc container = fromServicesXml("<jdisc version=\"1.0\" id=\"my-service-id\">" + // "<search />" + // "</jdisc>", Networking.disable)) { @@ -52,7 +53,7 @@ public class JDiscTest { } @Test - public void jdisc_can_be_embedded_in_services_tag() throws Exception { + public void jdisc_can_be_embedded_in_services_tag() { try (JDisc container = fromServicesXml("<services>" + // "<jdisc version=\"1.0\" id=\"my-service-id\">" + // "<search />" + // @@ -77,7 +78,7 @@ public class JDiscTest { } @Test - public void handleRequest_yields_response_from_correct_request_handler() throws Exception { + public void handleRequest_yields_response_from_correct_request_handler() { final String handlerClass = TestHandler.class.getName(); try (JDisc container = fromServicesXml("<container version=\"1.0\">" + // "<handler id=\"test-handler\" class=\"" + handlerClass + "\">" + // @@ -94,7 +95,7 @@ public class JDiscTest { } @Test - public void load_searcher_from_bundle() throws Exception { + public void load_searcher_from_bundle() { try (JDisc container = JDisc.fromPath(FileSystems.getDefault().getPath("src/test/app-packages/searcher-app"), Networking.disable)) { Result result = container.search().process(ComponentSpecification.fromString("default"), @@ -175,4 +176,5 @@ public class JDiscTest { } throw new RuntimeException("No http server found"); } + } diff --git a/application/src/test/java/com/yahoo/application/container/jersey/JerseyTest.java b/application/src/test/java/com/yahoo/application/container/jersey/JerseyTest.java index 9c3cd1e612c..89c23fe0001 100644 --- a/application/src/test/java/com/yahoo/application/container/jersey/JerseyTest.java +++ b/application/src/test/java/com/yahoo/application/container/jersey/JerseyTest.java @@ -3,11 +3,10 @@ package com.yahoo.application.container.jersey; import com.yahoo.application.Networking; import com.yahoo.application.container.JDisc; -import com.yahoo.application.container.JDiscTest; +import com.yahoo.application.container.ContainerTest; import com.yahoo.application.container.jersey.resources.TestResource; import com.yahoo.application.container.jersey.resources.nestedpackage1.NestedTestResource1; import com.yahoo.application.container.jersey.resources.nestedpackage2.NestedTestResource2; -import com.yahoo.container.Container; import com.yahoo.container.test.jars.jersey.resources.TestResourceBase; import com.yahoo.osgi.maven.ProjectBundleClassPaths; import com.yahoo.osgi.maven.ProjectBundleClassPaths.BundleClasspathMapping; @@ -144,7 +143,7 @@ public class JerseyTest { "</jdisc>" + // "</services>", // Networking.enable)) { - final int port = JDiscTest.getListenPort(); + final int port = ContainerTest.getListenPort(); f.accept(path -> { String p = path.startsWith("/") ? path.substring(1) : path; CloseableHttpClient client = HttpClientBuilder.create().build(); |