fix calculation of memoryoffset shape (#4533)
* fix calculation of memoryoffset shape in 2 cases: after normalization layer (shape can be read from InputDim in loader) and after affincecomponent layer (shape saved in out-size based on weights shape) * improve comments
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@ -1,5 +1,5 @@
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"""
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"""
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Copyright (C) 2018-2020 Intel Corporation
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Copyright (C) 2018-2021 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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you may not use this file except in compliance with the License.
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@ -57,6 +57,13 @@ class SplitRecurrentMemoryOffset(FrontReplacementSubgraph):
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# MemoryOffset node is not in a recurrent block -- no splitting is needed
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# MemoryOffset node is not in a recurrent block -- no splitting is needed
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return
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return
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# check that node has information for future partial infer
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# element_size is set in loader based on dimensions of previous layer from original Kaldi model
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if not offset_node.has_valid('element_size'):
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if not offset_node.has_valid('element_size'):
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# check if previous layer contains information about its shape in out-size
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# out-size is set in extractor of some nodes like affinecomponent based on weight's size
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if offset_node.in_port(0).get_source().node.has_valid('out-size'):
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offset_node['element_size'] = offset_node.in_port(0).get_source().node['out-size']
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else:
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raise Error("In a recurrent block 'element_size' for node {} is not set".format(offset_node.id))
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raise Error("In a recurrent block 'element_size' for node {} is not set".format(offset_node.id))
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SplitRecurrentMemoryOffset.split_offset(offset_node)
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SplitRecurrentMemoryOffset.split_offset(offset_node)
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@ -234,11 +234,14 @@ def load_components(file_descr, graph, component_layer_map=None):
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# it is separated in 2 parts to remove cycle from graph
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# it is separated in 2 parts to remove cycle from graph
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file_descr.seek(start_index)
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file_descr.seek(start_index)
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dim = 0
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dim = 0
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dim_words = {b'<Dim>', b'<InputDim>'}
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for dim_word in dim_words:
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try:
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try:
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collect_until_token(file_descr, b'<Dim>', size_search_zone=end_index - start_index)
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collect_until_token(file_descr, dim_word, size_search_zone=end_index - start_index)
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cur_index = file_descr.tell()
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cur_index = file_descr.tell()
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if start_index < cur_index < end_index:
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if start_index < cur_index < end_index:
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dim = read_binary_integer32_token(file_descr)
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dim = read_binary_integer32_token(file_descr)
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break
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else:
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else:
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file_descr.seek(start_index)
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file_descr.seek(start_index)
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except Error:
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except Error:
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