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66 lines
2.4 KiB
66 lines
2.4 KiB
/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <cmath>
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#include <limits>
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#include <type_traits>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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class FillAnyLikeKernel : public framework::OpKernel<T> {
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public:
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using CommonType = typename std::common_type<
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float,
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typename std::conditional<std::is_same<T, platform::float16>::value,
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float, T>::type>::type;
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void Compute(const framework::ExecutionContext& context) const override {
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auto* out = context.Output<framework::Tensor>("Out");
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out->mutable_data<T>(context.GetPlace());
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// TODO(fangzeyang): Once context.Attribute supports double dtype, this
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// kernel should be updated to support double dtype, too.
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float value = context.Attr<float>("value");
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auto common_type_value = static_cast<CommonType>(value);
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PADDLE_ENFORCE_EQ(
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(common_type_value >=
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static_cast<CommonType>(std::numeric_limits<T>::lowest())) &&
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(common_type_value <=
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static_cast<CommonType>(std::numeric_limits<T>::max())),
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true, platform::errors::InvalidArgument(
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"filled value is out of range for"
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" targeted type in fill_any_like, your kernel type is %s"
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", please check value you set.",
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typeid(T).name()));
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PADDLE_ENFORCE_EQ(
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std::isnan(value), false,
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platform::errors::InvalidArgument("filled value should not be NaN,"
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" but received NaN"));
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math::SetConstant<DeviceContext, T> setter;
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setter(context.template device_context<DeviceContext>(), out,
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static_cast<T>(value));
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}
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};
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} // namespace operators
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} // namespace paddle
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