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45 lines
1.4 KiB
45 lines
1.4 KiB
# Copyright 2020 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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import numpy as np
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from mindspore import Tensor
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from mindspore.ops import prim_attr_register, PrimitiveWithInfer
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# y = x^2
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class CusSquare(PrimitiveWithInfer):
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"""CusSquare definition"""
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from square_impl import CusSquareImpl
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@prim_attr_register
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def __init__(self):
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"""init CusSquare"""
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self.init_prim_io_names(inputs=['x'], outputs=['y'])
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def vm_impl(self, x):
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x = x.asnumpy()
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return Tensor(np.multiply(x, x))
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def infer_shape(self, data_shape):
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return data_shape
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def infer_dtype(self, data_dtype):
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return data_dtype
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def get_bprop(self):
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def bprop(data, out, dout):
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gradient = data * 2
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dx = gradient * dout
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return (dx,)
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return bprop
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