jwfromm commented on a change in pull request #5075: [Torch] Add initial 3D op
support and test on Resnet 3D
URL: https://github.com/apache/incubator-tvm/pull/5075#discussion_r393304654
##########
File path: python/tvm/relay/frontend/pytorch.py
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@@ -183,9 +183,27 @@ def _impl(inputs, input_types):
data = inputs[0]
output_size = _infer_shape(inputs[1])
+ # returns dummy indices too
return _op.nn.adaptive_max_pool2d(
data,
- output_size=output_size)
+ output_size=output_size), None
+ return _impl
+
+def _adaptive_max_3d():
+ def _impl(inputs, input_types):
+ data = inputs[0]
+ output_size = _infer_shape(inputs[1])
+ # returns dummy indices too
+ return _op.nn.adaptive_max_pool3d(data, output_size=output_size), None
Review comment:
Does adaptive pooling in pytorch always return two values? The documentation
seems to imply that it only returns indices if the `return_indices` parameters
is `True`.
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