apivovarov 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_r355859901
##########
File path: tests/python/frontend/tensorflow/test_forward.py
##########
@@ -362,10 +362,16 @@ 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], [3, 3, 176, 32],
[1, 1], [1, 1], 'SAME',
+ 'NCHW', [4, 176, 8, 8])
_test_convolution('conv_transpose', [4, 19, 8, 8], [3, 3, 19, 19], [1,
1], [2, 2], 'VALID',
'NCHW', [4, 19, 17, 17])
_test_convolution('conv_transpose', [4, 19, 17, 17], [1, 1, 124, 19],
[1, 1], [1, 1], 'SAME',
'NCHW', [4, 124, 17, 17])
+ _test_convolution('conv_transpose', [4, 19, 17, 17], [3, 3, 124, 19],
[1, 1], [1, 1], 'SAME',
Review comment:
TF code for kernel 2x2, strides 2x2 and padding SAME is
```
dshape=(1,5,5,4)
#hwoi
kshape=(2,2,2,4)
oshape=(1,9,9,2)
# or
oshape=(1,10,10,2)
dtype='float32'
with tf.Session() as sess:
x = tf.placeholder(shape=dshape, dtype=dtype)
w = tf.placeholder(shape=kshape, dtype=dtype)
dc = tf.nn.conv2d_transpose(x, w, output_shape=oshape,
strides=(1,2,2,1), padding='SAME')
res_dc = sess.run(dc, feed_dict={x: data, w:weight})
```
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