# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. # pylint: disable=invalid-name """Batch matmul in python""" import numpy as np def batch_matmul(x, y, out_dtype=None, trans_x=False, trans_y=True): """batch_matmul operator implemented in numpy. Parameters ---------- x : numpy.ndarray 3-D with shape [batch, M, K] y : numpy.ndarray 3-D with shape [batch, N, K] out_dtype: string, optional Specify the dtype of output Returns ------- out : numpy.ndarray 3-D with shape [batch, M, N] """ if trans_x: XB, _, M = x.shape else: XB, M, _ = x.shape if trans_y: YB, N, _ = y.shape else: YB, _, N = y.shape batch = max(XB, YB) dtype = x.dtype if out_dtype is None else out_dtype out = np.zeros((batch, M, N)).astype(dtype) for i in range(batch): xx = x[i if XB != 1 else 0].astype(dtype) yy = y[i if YB != 1 else 0].astype(dtype) out[i] = np.dot( xx.T if trans_x else xx, yy.T if trans_y else yy, ) return out