cd391389ce
* MO TF: FQPerChannel extractor * [ MO ] Complete weights layout permutation * removed deleted file out of BOM * Bring back stashed changes * Skip if no weights permutation * Conditional permutation * Comments
127 lines
5.7 KiB
Python
127 lines
5.7 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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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 obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import numpy as np
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from extensions.middle.BinarizeWeightsM1P1 import BinarizeWeightsM1P1
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from extensions.middle.DeleteControlFlowEdges import DeleteControlFlowEdges
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from extensions.middle.EltwiseChecker import EltwiseChecker
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from mo.graph.graph import Graph
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from mo.middle.passes.fusing.helpers import get_value_in_port
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from mo.middle.replacement import MiddleReplacementPattern
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class MarkNodesToFuseUpToFakeQuantize(MiddleReplacementPattern):
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"""
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Marks special nodes that could be pulled through Quantize operation.
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Sets `fuse_up_to_quantize_ports` parameter to list of indexes of input ports of Quantize operation
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where specified node should appear.
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"""
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enabled = True
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def run_after(self):
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return [DeleteControlFlowEdges]
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def run_before(self):
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return []
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@staticmethod
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def mark_fusable_muls_on_weights(graph):
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for node in graph.get_op_nodes(op='Mul'):
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children = node.out_port(0).get_destinations()
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if len(children) > 1 or children[0].node.soft_get('type') not in ['Convolution', 'Deconvolution', 'MatMul']:
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continue
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value_in_port = get_value_in_port(node)
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if value_in_port is None:
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continue
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value_shape = value_in_port.data.get_shape()
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non_one_axis = np.argwhere(value_shape != 1)
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if non_one_axis.size != 1:
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continue
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non_one_axis = non_one_axis.item(0)
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node['can_be_fused'] = True
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EltwiseChecker().mark_eltwise_node(node, non_one_axis)
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def find_and_replace_pattern(self, graph: Graph):
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# to prevent fusing of non per channel lin ops, we run EltwiseChecker to mark nodes with can_be_fused attribute
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EltwiseChecker().find_and_replace_pattern(graph)
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self.mark_fusable_muls_on_weights(graph)
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eltwise_nodes = graph.get_op_nodes(op='Mul', can_be_fused=True) + \
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graph.get_op_nodes(op='Sub', can_be_fused=True) + \
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graph.get_op_nodes(op='Add', can_be_fused=True)
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for elt in eltwise_nodes:
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if elt.in_port(0).data.get_value() is not None or elt.in_port(1).data.get_value() is not None:
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elt['fuse_up_to_quantize_ports'] = [3, 4]
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slice = graph.get_op_nodes(op='Slice')
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for sl in slice:
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sl['fuse_up_to_quantize_ports'] = [0]
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class FakeQuantizeFuse(MiddleReplacementPattern):
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"""
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Pulls nodes containing `fuse_up_to_quantize_ports` parameter (node to fuse) through Quantize operation
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If `fuse_up_to_quantize_ports` list contains one input port to which node to fuse should be delivered,
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replacer reconnects edges.
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If `fuse_up_to_quantize_ports` list contains more than one input port to which node to fuse should be delivered,
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replacer reconnects edges of first port from `fuse_up_to_quantize_ports` list, for other ports
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replacer duplicates node to fuse (duplicate connections of inputs of node to fuse to duplicates of it)
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"""
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enabled = True
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def run_after(self):
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return [MarkNodesToFuseUpToFakeQuantize]
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def run_before(self):
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return [BinarizeWeightsM1P1]
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def find_and_replace_pattern(self, graph: Graph):
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for quantize_node in graph.get_op_nodes(op='FakeQuantize'):
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while len(quantize_node.out_port(0).get_destinations()) == 1:
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if not quantize_node.out_port(0).get_destination().node.has_valid('fuse_up_to_quantize_ports'):
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break
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fuse_node = quantize_node.out_port(0).get_destination().node
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quantize_to_mul_in_port_index = quantize_node.out_port(0).get_destination().idx
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# connecting the rest of model after mul to quantize, mul node hangs on quantize
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fuse_node.out_port(0).get_connection().set_source(quantize_node.out_port(0))
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# mul node is disconnected from the graph
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fuse_node.in_port(quantize_to_mul_in_port_index).disconnect()
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first_port_fusion = True
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for in_quantize_port in fuse_node['fuse_up_to_quantize_ports']:
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fuse_node_duplicate = fuse_node
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if not first_port_fusion:
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fuse_node_duplicate = fuse_node.copy_node(
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{'in_ports_count': len(fuse_node.in_ports()),
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'out_ports_count': len(fuse_node.out_ports())})
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quantize_node.in_port(in_quantize_port).get_connection().set_destination(
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fuse_node_duplicate.in_port(quantize_to_mul_in_port_index))
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fuse_node_duplicate.out_port(0).connect(quantize_node.in_port(in_quantize_port))
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if not first_port_fusion:
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for idx, port in fuse_node.in_ports().items():
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if idx == quantize_to_mul_in_port_index:
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continue
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port.get_source().connect(fuse_node_duplicate.in_port(idx))
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fuse_node_duplicate.infer(fuse_node_duplicate)
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first_port_fusion = False |