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use tf.shape instead of .shape for dynamic axes in InstanceNormalization #771

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use tf.shape instead of .shape for dynamic axes in InstanceNormalization #771

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3bc773c
use tf.shape instead of .shape for dynamic axes
masakistan Sep 19, 2020
7b27f5d
Add model stepping test for Mnist (#734)
chinhuang007 Sep 23, 2020
87ea741
Merge branch 'master' into fix_instance_norm
masakistan Sep 29, 2020
de3d673
Merge branch 'master' into fix_instance_norm
masakistan Oct 3, 2020
cea3239
Merge branch 'master' into fix_instance_norm
masakistan Oct 8, 2020
24877e8
Merge branch 'master' into fix_instance_norm
masakistan Oct 15, 2020
610feae
Merge branch 'master' into fix_instance_norm
masakistan Nov 1, 2020
9ef09b8
use onnx-tf tf_shape instead of tf.shape
masakistan Nov 12, 2020
56f239a
Merge branch 'master' into fix_instance_norm
masakistan Nov 12, 2020
1e27b6e
Merge branch 'master' into fix_instance_norm
masakistan Nov 13, 2020
efb9561
Merge branch 'master' into fix_instance_norm
chinhuang007 Dec 15, 2020
31f63d1
Merge branch 'master' into fix_instance_norm
chinhuang007 Dec 17, 2020
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4 changes: 2 additions & 2 deletions onnx_tf/handlers/backend/instance_normalization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
from onnx_tf.handlers.backend_handler import BackendHandler
from onnx_tf.handlers.handler import onnx_op
from onnx_tf.handlers.handler import tf_func

from onnx_tf.common.tf_helper import tf_shape

@onnx_op("InstanceNormalization")
@tf_func(tf.nn.batch_normalization)
Expand Down Expand Up @@ -31,7 +31,7 @@ def _common(cls, node, **kwargs):
beta = tensor_dict[node.inputs[2]]

inputs = tensor_dict[node.inputs[0]]
inputs_shape = inputs.shape
inputs_shape = tf_shape(inputs)
inputs_rank = inputs.shape.ndims

moments_axes = list(range(inputs_rank))[2:]
Expand Down