yongwww commented on a change in pull request #4484: [FRONTEND][TF]
conv2d_transpose 'SAME' support kernel more than 1x1
URL: https://github.com/apache/incubator-tvm/pull/4484#discussion_r360479825
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File path: tests/python/frontend/tensorflow/test_forward.py
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@@ -362,10 +362,23 @@ def test_forward_convolution():
_test_convolution('depthwise', [4, 12, 17, 17], [3, 3, 12, 2], [1, 1],
[2, 2], 'VALID', 'NCHW')
_test_convolution('conv_transpose', [4, 32, 8, 8], [1, 1, 176, 32],
[1, 1], [1, 1], 'SAME',
'NCHW', [4, 176, 8, 8])
+ _test_convolution('conv_transpose', [4, 32, 8, 8], [2, 2, 176, 32],
[1, 1], [1, 1], 'SAME',
+ 'NCHW', [4, 176, 8, 8])
+ _test_convolution('conv_transpose', [4, 32, 8, 8], [2, 2, 176, 32],
[1, 1], [2, 2], 'SAME',
+ 'NCHW', [4, 176, 15, 15])
+ _test_convolution('conv_transpose', [4, 32, 8, 8], [3, 3, 176, 32],
[1, 1], [1, 1], 'SAME',
+ 'NCHW', [4, 176, 8, 8])
+ _test_convolution('conv_transpose', [4, 32, 8, 8], [3, 3, 176, 32],
[1, 1], [2, 2], 'SAME',
+ 'NCHW', [4, 176, 15, 15])
+ # cuda target not working
Review comment:
What is the reason why it doen't work for cuda
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