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30 lines
972 B
Python
30 lines
972 B
Python
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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import onnx
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from onnx import helper
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from onnx.helper import make_opsetid
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from onnx import AttributeProto, TensorProto, GraphProto
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input_info = helper.make_tensor_value_info('input', TensorProto.FLOAT16, [1, 5])
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output_info = helper.make_tensor_value_info('output', TensorProto.FLOAT16, [1, 5])
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# Create a node (NodeProto) - This is based on Pad-11
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node_def = helper.make_node(
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'Slice', # node name
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['input'], # inputs
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['output'], # outputs
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axes=[0,1], # attributes
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ends=[1,5],
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starts=[0,0]
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)
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graph_def = helper.make_graph(nodes=[node_def], name='test_input_FLOAT16',
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inputs=[input_info], outputs=[output_info])
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model_def = helper.make_model(graph_def, producer_name='AIInfra',
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opset_imports=[make_opsetid('', 7)])
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final_model = onnx.utils.polish_model(model_def)
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onnx.save(final_model, 'test_types_FLOAT16.onnx')
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