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https://github.com/zebrajr/pytorch.git
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68948306bc
* Added support to run ONNX Upsample operator (mode=nearest) in Caffe2 * adding error checks to upsample * adding error checks to upsample * adding error checks to upsample * changing to np.isclose * Revert onnx submodule update * still fixing
77 lines
3.2 KiB
Python
77 lines
3.2 KiB
Python
## @package onnx
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# Module caffe2.python.onnx.tests.onnx_backend_test
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import os
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import unittest
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import onnx.backend.test
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import caffe2.python.onnx.backend as c2
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# This is a pytest magic variable to load extra plugins
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pytest_plugins = 'onnx.backend.test.report',
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backend_test = onnx.backend.test.BackendTest(c2, __name__)
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backend_test.exclude(r'(test_hardsigmoid' # Does not support Hardsigmoid.
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'|test_hardmax' # Does not support Hardmax.
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'|test_cast.*FLOAT16.*' # Does not support Cast on Float16.
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'|test_depthtospace.*' # Does not support DepthToSpace.
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'|test_reduce_l1.*' # Does not support ReduceL1.
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'|test_reduce_l2.*' # Does not support ReduceL2.
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'|test_reduce_log_sum.*' # Does not support ReduceLogSum.
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'|test_reduce_max.*' # Does not support ReduceMax.
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'|test_reduce_min.*' # Does not support ReduceMin.
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'|test_reduce_mean_cuda.*' # Does not support ReduceMean CUDA.
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'|test_reduce_prod.*' # Does not support ReduceProd.
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'|test_reduce_sum.*' # Does not support ReduceSum and ReduceSumSquare
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'|test_tile.*' # Tile's Caffe2 implementation needs some tweak
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'|test_lstm.*' # Seems LSTM case has some problem
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'|test_simple_rnn.*' # Seems simple RNN case has some problem
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'|test_gru.*' # Seems GRU case has some problem
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'|test_prelu.*' # PRelu is not compliant with ONNX yet
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'|test_operator_repeat.*' # Tile is not compliant with ONNX yet
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'|test_.*pool_.*same.*' # Does not support pool same.
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')')
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# Quick patch to unbreak master CI, is working on the debugging.
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backend_test.exclude('(test_cast_.*'
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'|test_Conv1d_.*cuda'
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'|test_Conv3d_groups_cuda'
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'|test_rnn_seq_length'
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'|test_operator_add.*_cuda'
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'|test_operator_lstm_cuda'
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'|test_operator_rnn.*_cuda)')
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# Temporarily skip some ONNX backend tests with broadcasting.
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backend_test.exclude('(test_xor_bcast'
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'|test_or_bcast'
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'|test_and_bcast'
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'|test_greater_bcast'
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'|test_equal_bcast'
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'|test_less_bcast'
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'|test_add_bcast'
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'|test_sub_bcast'
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'|test_mul_bcast'
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'|test_div_bcast'
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'|test_pow_bcast'
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'|test_gemm_broadcast'
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')')
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# Skip vgg to speed up CI
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if 'JENKINS_URL' in os.environ:
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backend_test.exclude(r'(test_vgg19|test_vgg)')
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# import all test cases at global scope to make them visible to python.unittest
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globals().update(backend_test
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.enable_report()
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.test_cases)
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if __name__ == '__main__':
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unittest.main()
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