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Summary: This test flushes out the issue that IDEEP cannot handle tensor with dims like (0, 2), which is a valid tensor shape. Pull Request resolved: https://github.com/pytorch/pytorch/pull/8459 Differential Revision: D10419328 Pulled By: yinghai fbshipit-source-id: c5efcd152364a544180a8305c47a2a2d126ab070 |
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| .. | ||
| concat_split_op_test.py | ||
| conv_op_test.py | ||
| convfusion_op_test.py | ||
| copy_op_test.py | ||
| dropout_op_test.py | ||
| elementwise_sum_op_test.py | ||
| fc_op_test.py | ||
| LRN_op_test.py | ||
| moment_sgd_op_test.py | ||
| operator_fallback_op_test.py | ||
| pool_op_test.py | ||
| relu_op_test.py | ||
| softmax_op_test.py | ||
| spatial_bn_op_test.py | ||
| squeeze_op_test.py | ||
| test_ideep_net.py | ||
| transform_ideep_net.py | ||