1# Copyright 2020 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15import numpy as np 16from mindspore import Tensor 17from mindspore.ops import prim_attr_register, PrimitiveWithInfer 18 19# y = x^2 20class CusSquare(PrimitiveWithInfer): 21 """CusSquare definition""" 22 from square_impl import CusSquareImpl 23 24 @prim_attr_register 25 def __init__(self): 26 """init CusSquare""" 27 self.init_prim_io_names(inputs=['x'], outputs=['y']) 28 29 def vm_impl(self, x): 30 x = x.asnumpy() 31 return Tensor(np.multiply(x, x)) 32 33 def infer_shape(self, data_shape): 34 return data_shape 35 36 def infer_dtype(self, data_dtype): 37 return data_dtype 38 39 def get_bprop(self): 40 def bprop(data, out, dout): 41 gradient = data * 2 42 dx = gradient * dout 43 return (dx,) 44 return bprop 45