domin1985 commented on a change in pull request #6278:
URL: https://github.com/apache/incubator-tvm/pull/6278#discussion_r470529801
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File path: python/tvm/relay/frontend/keras.py
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@@ -123,10 +124,11 @@ def _convert_advanced_activation(inexpr, keras_layer,
etab):
if isinstance(axis, list):
raise tvm.error.OpAttributeUnImplemented(
'Softmax with axes {} is not supported.'.format(axis))
- if axis == -1:
- axis = 1
- else:
- axis = axis + 1 if axis < dims - 1 else 1
+ if etab.data_layout == 'NCHW':
Review comment:
TVM Keras frontend supports tensorflow backend only and the data_format
attribute is channel_last (aka NHWC or NDHWC). So when the target layout is set
NCHW (as default), the axis value should be transformed to be consist with the
target layout.
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