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88 lines
3.3 KiB
88 lines
3.3 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include <string>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/operator.h"
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#include "paddle/fluid/platform/place.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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template <typename DeviceContext, typename T>
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struct GetTensorValue {
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T operator()(const platform::DeviceContext& ctx,
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const framework::Tensor& tensor) const;
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};
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template <typename DeviceContext, typename T>
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struct AllcloseFunctor {
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void operator()(const DeviceContext& ctx, const framework::Tensor& in,
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const framework::Tensor& other, const float rtol,
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const float atol, bool equal_nan, framework::Tensor* output);
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};
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template <typename DeviceContext, typename T>
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class AllcloseKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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// get attrs
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bool equal_nan = ctx.Attr<bool>("equal_nan");
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// get input/output
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const auto* input = ctx.Input<Tensor>("Input");
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const auto* other = ctx.Input<Tensor>("Other");
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auto* out = ctx.Output<Tensor>("Out");
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double rtol_v = std::stod(ctx.Attr<std::string>("rtol"));
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double atol_v = std::stod(ctx.Attr<std::string>("atol"));
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auto& dev_ctx = ctx.template device_context<DeviceContext>();
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GetTensorValue<DeviceContext, double> get_tensor_value;
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if (ctx.HasInput("Rtol")) {
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const auto* rtol = ctx.Input<Tensor>("Rtol");
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PADDLE_ENFORCE_EQ(
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rtol->numel(), 1,
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platform::errors::InvalidArgument(
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"Input(Rtol) size must be 1, but get %d.", rtol->numel()));
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PADDLE_ENFORCE_EQ(rtol->type(), framework::proto::VarType::FP64,
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platform::errors::InvalidArgument(
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"Input(Rtol) type must be double, but get %s.",
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framework::DataTypeToString(rtol->type())));
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rtol_v = get_tensor_value(dev_ctx, *rtol);
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}
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if (ctx.HasInput("Atol")) {
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const auto* atol = ctx.Input<Tensor>("Atol");
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PADDLE_ENFORCE_EQ(
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atol->numel(), 1,
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platform::errors::InvalidArgument(
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"Input(Atol) size must be 1, but get %d", atol->numel()));
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PADDLE_ENFORCE_EQ(atol->type(), framework::proto::VarType::FP64,
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platform::errors::InvalidArgument(
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"Input(Atol) type must be double, but get %s",
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framework::DataTypeToString(atol->type())));
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atol_v = get_tensor_value(dev_ctx, *atol);
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}
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AllcloseFunctor<DeviceContext, T>()(dev_ctx, *input, *other, rtol_v, atol_v,
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equal_nan, out);
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}
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};
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} // namespace operators
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} // namespace paddle
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