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convert_from_tensorflow.py: add support when kernel size is 1*1 with one input/output channel (gray image)

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Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
This commit is contained in:
Guo, Yejun 2019-11-22 15:50:04 +08:00 committed by Pedro Arthur
parent ed9fc2e3c5
commit e52070e89c
1 changed files with 4 additions and 1 deletions
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5
tools/python/convert_from_tensorflow.py
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@ -193,7 +193,10 @@ class TFConverter:
filter_width = ktensor.tensor_shape.dim[1].size
in_channels = ktensor.tensor_shape.dim[2].size
out_channels = ktensor.tensor_shape.dim[3].size
kernel = np.frombuffer(ktensor.tensor_content, dtype=np.float32)
if filter_height * filter_width * in_channels * out_channels == 1:
kernel = np.float32(ktensor.float_val[0])
else:
kernel = np.frombuffer(ktensor.tensor_content, dtype=np.float32)
kernel = kernel.reshape(filter_height, filter_width, in_channels, out_channels)
kernel = np.transpose(kernel, [3, 0, 1, 2])