|
- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
-
- """broadcast"""
-
-
- def _get_broadcast_shape(x_shape, y_shape, prim_name):
- """
- Doing broadcast between tensor x and tensor y.
-
- Args:
- x_shape (list): The shape of tensor x.
- y_shape (list): The shape of tensor y.
- prim_name (str): Primitive name.
-
- Returns:
- List, the shape that broadcast between tensor x and tensor y.
-
- Raises:
- ValueError: If tensor x and tensor y are not equal and could't broadcast.
-
- Examples:
- >>> x_shape = [1, 2, 3]
- >>> y_shape = [1, 2]
- >>> broadcast_shape = _get_broadcast_shape(x_shape, y_shape)
- """
- if x_shape == y_shape:
- return x_shape
- x_len = len(x_shape)
- y_len = len(y_shape)
- length = x_len if x_len < y_len else y_len
- broadcast_shape_back = []
-
- for i in range(-length, 0):
- if x_shape[i] == 1:
- broadcast_shape_back.append(y_shape[i])
- elif y_shape[i] == 1:
- broadcast_shape_back.append(x_shape[i])
- elif x_shape[i] == y_shape[i]:
- broadcast_shape_back.append(x_shape[i])
- else:
- raise ValueError("For '{}' the x_shape {} and y_shape {} can not broadcast.".format(
- prim_name, x_shape, y_shape))
-
- broadcast_shape_front = y_shape[0: y_len - length] if length == x_len else x_shape[0: x_len - length]
- broadcast_shape = broadcast_shape_front + broadcast_shape_back
- return broadcast_shape
|
