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Fix a result shape for a model with a 3d tensor at the output (#7741)

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Dmitry Pigasin 2021-09-30 16:58:11 +03:00 committed by GitHub
parent 3f0fea5c1b
commit 7fade1e357
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1 changed files with 3 additions and 2 deletions
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inference-engine/ie_bridges/python/sample/speech_sample/speech_sample.py
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@ -36,8 +36,9 @@ def infer_data(data: dict, exec_net: ExecutableNetwork, input_blobs: list, outpu
result = {} result = {}
for blob_name in output_blobs: for blob_name in output_blobs:
batch_size, num_of_dims = exec_net.outputs[blob_name].shape shape = exec_net.outputs[blob_name].shape
result[blob_name] = np.ndarray((matrix_shape[0], num_of_dims)) batch_size = shape[0]
result[blob_name] = np.ndarray((matrix_shape[0], shape[-1]))
slice_begin = 0 slice_begin = 0
slice_end = batch_size slice_end = batch_size