78 lines
4.4 KiB
Python
78 lines
4.4 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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from extensions.front.mxnet.mx_reshape_to_reshape import MXReshapeToReshape
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from extensions.ops.Reverse import Reverse
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from extensions.ops.mxreshape import MXReshape
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.common.replacement import FrontReplacementOp
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from mo.front.tf.graph_utils import create_op_node_with_second_input
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from mo.graph.graph import Graph
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from mo.ops.reshape import Reshape
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from mo.ops.shape import Shape
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from mo.ops.squeeze import Squeeze
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from mo.ops.unsqueeze import Unsqueeze
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class MXReshapeReverse(FrontReplacementOp):
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"""
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If reshape layer with reverse True, special values will inferred from right to left.
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The Replacer simulate the behavior. The replaced subgraph reverse input data and special dims,
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and after reshape reverse output result to backward.
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Resulting subgraph: reshape(reverse=True) -> reverse - reshape(reverse=False) -reverse subgraph.
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"""
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op = 'MXReshape'
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enabled = True
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def run_before(self):
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return [MXReshapeToReshape]
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def replace_sub_graph(self, graph: Graph, match: dict):
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mxreshape = match['op']
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if not mxreshape.reverse:
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return
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shape_node = Shape(graph, dict(name=mxreshape.id + '/Shape')).create_node()
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forward_reverse_unsqueeze_node = create_op_node_with_second_input(graph, Unsqueeze, int64_array([0]),
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dict(name=str(mxreshape.id) + '/ForwardUnsqueeze'))
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forward_reverse_node = Reverse(graph, dict(name=mxreshape.id + '/ForwardReverse', axis=1)).create_node()
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forward_reverse_squeeze_node = create_op_node_with_second_input(graph, Squeeze, int64_array([0]),
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dict(name=str(mxreshape.id) + '/ForwardSqueeze'))
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reshape_node = Reshape(graph, dict(name=mxreshape.id + '/Reshape')).create_node()
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shape_node.in_port(0).connect(mxreshape.in_port(0).get_source())
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mxreshape.in_port(0).get_connection().set_destination(reshape_node.in_port(0))
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forward_reverse_unsqueeze_node.in_port(0).connect(shape_node.out_port(0))
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forward_reverse_node.in_port(0).connect(forward_reverse_unsqueeze_node.out_port(0))
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forward_reverse_squeeze_node.in_port(0).connect(forward_reverse_node.out_port(0))
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reshape_node.in_port(1).connect(forward_reverse_squeeze_node.out_port(0))
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reshape_shape_node = create_op_node_with_second_input(graph, Reshape, int64_array(np.flip(mxreshape.dim, 0)),
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dict(name=str(mxreshape.id) + '/ReshapeShape'))
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if np.sum(np.in1d([-2, -3, -4], mxreshape.dim), axis=0):
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reshape_shape_node = MXReshape(graph, dict(name=mxreshape.id + '/Reshape',
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dim=int64_array(np.flip(mxreshape.dim, 0)))).create_node()
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reshape_shape_node.in_port(0).connect(reshape_node.out_port(0))
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backward_shape_node = Shape(graph, dict(name=mxreshape.id + '/BackwardShape')).create_node()
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backward_reverse_unsqueeze_node = create_op_node_with_second_input(graph, Unsqueeze, int64_array([0]),
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dict(name=str(mxreshape.id) + '/BackwardUnsqueeze'))
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backward_reverse_node = Reverse(graph, dict(name=mxreshape.id + '/BackwardReverse', axis=1)).create_node()
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backward_reverse_squeeze_node = create_op_node_with_second_input(graph, Squeeze, int64_array([0]),
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dict(name=str(mxreshape.id) + '/BackwardSqueeze'))
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backward_reshape_node = Reshape(graph, dict(name=mxreshape.id + '/BackwardReshape')).create_node()
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backward_shape_node.in_port(0).connect(reshape_shape_node.out_port(0))
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backward_reverse_unsqueeze_node.in_port(0).connect(backward_shape_node.out_port(0))
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backward_reverse_node.in_port(0).connect(backward_reverse_unsqueeze_node.out_port(0))
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backward_reverse_squeeze_node.in_port(0).connect(backward_reverse_node.out_port(0))
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backward_reshape_node.in_port(0).connect(reshape_shape_node.out_port(0))
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backward_reshape_node.in_port(1).connect(backward_reverse_squeeze_node.out_port(0))
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mxreshape.out_port(0).get_connection().set_source(backward_reshape_node.out_port(0))
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