forked from huawei/mindspore2022
76 lines
3.2 KiB
Python
76 lines
3.2 KiB
Python
# Copyright 2021 Huawei Technologies Co., Ltd
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#
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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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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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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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"""generate json desc for BatchMatMul and MatMul"""
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from mindspore._extends.graph_kernel.model.model import DataFormat as DF
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from mindspore._extends.graph_kernel.model.model import GraphKernelUnsupportedException as GKException
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from ._utils import Expander, ExpanderInfoValidator as VLD
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@VLD.check_attrs('transpose_a', 'transpose_b', 'left_format', 'right_format')
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class MatMul(Expander):
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"""
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MatMul expander
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"""
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def __init__(self, expand_info):
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super(MatMul, self).__init__(expand_info)
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self.transpose_a = self.attrs['transpose_a']
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self.transpose_b = self.attrs['transpose_b']
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self.left_format = self.attrs['left_format']
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self.right_format = self.attrs['right_format']
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self.shape_a = self.inputs[0]['shape']
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self.shape_b = self.inputs[1]['shape']
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def _optimize_to_mul(self):
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"""check if matmul can be replace by mul"""
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if self.processor != 'aicore' or self.left_format != DF.DEFAULT or self.right_format != DF.DEFAULT:
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return False
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k_a = self.shape_a[-2] if self.transpose_a else self.shape_a[-1]
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k_b = self.shape_b[-1] if self.transpose_b else self.shape_b[-2]
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if k_a != 1 or k_b != 1:
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return False
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return True
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def _check(self):
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input_num = len(self.inputs)
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if input_num < 2:
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raise GKException("matul inputs number should bigger than 1, but got {}.".format(input_num))
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def _expand(self, graph_builder):
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def transpose(shape):
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trans_shape = list(shape)
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trans_shape[-2] = shape[-1]
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trans_shape[-1] = shape[-2]
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return trans_shape
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if not self._optimize_to_mul():
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raise GKException("MatMul/BatchMatMul do not need to be replaced by Mul")
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# Matmul is replaced by Mul([b m k], [b k n]) when k==1
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input_a = self.inputs[0]
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input_b = self.inputs[1]
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if self.transpose_a:
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shape_a_trans = transpose(self.shape_a)
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input_a = graph_builder.emit('Reshape', [input_a], attrs={'shape': shape_a_trans})
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if self.transpose_b:
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shape_b_trans = transpose(self.shape_b)
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input_b = graph_builder.emit('Reshape', [input_b], attrs={'shape': shape_b_trans})
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result = graph_builder.emit('Mul', [input_a, input_b])
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if 'dst_type' in self.attrs and self.inputs[0].dtype != self.attrs['dst_type']:
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result = graph_builder.emit('Cast', [result], attrs={'dst_type': self.attrs['dst_type']})
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return result
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class BatchMatMul(MatMul):
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"""BatchMatMul expander"""
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