Revert "Lesters/java probe onnx model"

2 files changed, 0 insertions, 40 deletions

diff --git a/config-model/src/test/cfg/application/onnx_probe/files/create_dynamic_model.py b/config-model/src/test/cfg/application/onnx_probe/files/create_dynamic_model.py
deleted file mode 100755
index b493e394ee4..00000000000
--- a/config-model/src/test/cfg/application/onnx_probe/files/create_dynamic_model.py
+++ /dev/null
@@ -1,19 +0,0 @@
-# Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
-
-import onnx
-import numpy as np
-from onnx import helper, TensorProto
-
-INPUT_1 = helper.make_tensor_value_info('input1', TensorProto.FLOAT, ["batch", 2])
-INPUT_2 = helper.make_tensor_value_info('input2', TensorProto.FLOAT, ["batch", 2])
-OUTPUT = helper.make_tensor_value_info('out', TensorProto.FLOAT, ["batch", "dim1", "dim2"])
-
-SHAPE = helper.make_tensor('shape', TensorProto.INT64, dims=[3], vals=np.array([1,2,2]).astype(np.int64))
-
-nodes = [
-    helper.make_node('Concat', ['input1', 'input2'], ['concat'], axis=1),
-    helper.make_node('Reshape', ['concat', 'shape'], ['out']),
-]
-graph_def = helper.make_graph(nodes, 'simple_scoring', [INPUT_1, INPUT_2], [OUTPUT], [SHAPE])
-model_def = helper.make_model(graph_def, producer_name='create_dynamic_model.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
-onnx.save(model_def, 'dynamic_model_2.onnx')
diff --git a/config-model/src/test/cfg/application/onnx_probe/files/dynamic_model.onnx b/config-model/src/test/cfg/application/onnx_probe/files/dynamic_model.onnx
deleted file mode 100644
index 28c600e2a09..00000000000
--- a/config-model/src/test/cfg/application/onnx_probe/files/dynamic_model.onnx
+++ /dev/null
@@ -1,21 +0,0 @@
-create_dynamic_model_2.py:Ö

--
-input1
-input2concat"Concat*
-axis
 

-
-concat
-shapeout"Reshapesimple_scoring*:
BshapeZ
-input1
-


-batch
-Z
-input2
-


-batch
-b&
-out
-

-batch
-dim1
-dim2B
\ No newline at end of file