diff options
Diffstat (limited to 'application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/saved_model.pbtxt')
| -rw-r--r-- | application/src/test/app-packages/model-evaluation/models/tensorflow/mnist/saved/saved_model.pbtxt | 8830 |
1 files changed, 8830 insertions, 0 deletions
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" + } + } +} |