83 lines
3.5 KiB
Python
83 lines
3.5 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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from extensions.ops.MatMul import FullyConnected
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from mo.front.common.replacement import FrontReplacementPattern
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from mo.front.tf.graph_utils import create_op_with_const_inputs
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from mo.graph.graph import Graph, Node
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from mo.graph.graph import rename_nodes
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from mo.ops.concat import Concat
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from mo.ops.memoryoffset import MemoryOffset
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class TdnnComponentReplacer(FrontReplacementPattern):
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r"""
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Expand TdnnComponent into MemoryOffsets, Concat and FullyConected nodes
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BEFORE:
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placeholder
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TdnnComponent('time_offsets': t1, t2,... tk)
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_______________________________________________________________
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AFTER:
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placeholder
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__________________|___________________________
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/ | \ \
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MemoryOffset(t1) MemoryOffset(t2) ... MemoryOffset(tk)
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\_____________ _____|______________/____________/
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Concat
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FullyConnected
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"""
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enabled = True
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run_not_recursively = True
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def run_before(self):
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from extensions.front.kaldi.memory_offset_adjustment import MemoryOffsetAdjustment
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return [MemoryOffsetAdjustment]
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def find_and_replace_pattern(self, graph: Graph):
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for node in graph.get_op_nodes(op='tdnncomponent'):
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self.replace_tdnn(graph, node)
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def replace_tdnn(self, graph: Graph, tdnn_node: Node):
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tdnn_name = tdnn_node.soft_get('name', tdnn_node.id)
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concat_node = Concat(graph, {'axis': 1}).create_node()
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rename_nodes([(tdnn_node, tdnn_name + '/to_be_removed'), (concat_node, tdnn_name)])
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for offset_ind, t in enumerate(tdnn_node['time_offsets']):
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concat_node.add_input_port(offset_ind)
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if t != 0:
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memory_name = tdnn_name + '/MemoryOffset/' + str(abs(t))
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memoryoffset_node = MemoryOffset(graph, {'name': memory_name, 't': t,
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'pair_name': memory_name + '_out',
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'has_default': False, 'splitted': False}).create_node()
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tdnn_node.in_port(0).get_source().connect(memoryoffset_node.in_port(0))
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memoryoffset_node.out_port(0).connect(concat_node.in_port(offset_ind))
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else:
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# 0 time delay is not allowed in IE, it's meaningless
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# if time offset is 0 then connect input of tdnncomponent directly to Concat without memoryoffset
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tdnn_node.in_port(0).get_source().connect(concat_node.in_port(offset_ind))
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weights = tdnn_node['weights']
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fc_inputs = {1: weights}
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bias_term = False
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if tdnn_node.has_valid('biases'):
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assert len(tdnn_node['biases']) == weights.shape[0]
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fc_inputs.update({2: tdnn_node['biases']})
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bias_term = True
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fc_node = create_op_with_const_inputs(graph, FullyConnected, fc_inputs,
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{'name': tdnn_name + '/FC', 'out-size': weights.shape[0],
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'transpose_weights': True, 'bias_term': bias_term})
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concat_node.out_port(0).connect(fc_node.in_port(0))
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tdnn_node.in_port(0).disconnect()
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tdnn_node.out_port(0).get_connection().set_source(fc_node.out_port(0))
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