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115 lines
4.4 KiB
115 lines
4.4 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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#include "paddle/fluid/operators/isfinite_op.h"
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#include <string>
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#include <vector>
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namespace paddle {
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namespace operators {
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class OverflowOp : public framework::OperatorWithKernel {
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public:
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OverflowOp(const std::string &type, const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: OperatorWithKernel(type, inputs, outputs, attrs) {}
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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasInputs("X"), "Inputs(X) should not be null");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of OverflowOp should not be null.");
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ctx->SetOutputDim("Out", {1});
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override {
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int dtype = -1;
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auto *x_var = ctx.InputVar("X");
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if (x_var->IsType<framework::LoDTensor>()) {
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dtype = x_var->Get<framework::LoDTensor>().type();
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} else if (x_var->IsType<framework::SelectedRows>()) {
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dtype = x_var->Get<framework::SelectedRows>().value().type();
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} else {
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PADDLE_THROW("Cannot find the input data type by all input data");
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}
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return framework::OpKernelType(framework::proto::VarType::Type(dtype),
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ctx.GetPlace());
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}
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};
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class OverflowOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "(Tensor) The input tensors of overflow operator.");
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AddOutput("Out",
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"(Tensor) 1-dim tensor, contains a bool scalar. The output "
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"tensor of overflow operator.");
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AddComment(string::Sprintf(R"DOC(
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Overflow %s operator.
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$$Out = any(X)$$
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If any X contains Inf or Nan, the Out will generate a indicator.
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Out = Inf if any X contains Inf,
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Out = Nan if any X contains Nan,
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Out = 0 if no Inf/Nan detected.
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If X contains both Inf/Nan, it will return the first indicator it meeted.
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%s
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)DOC",
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GetName(), GetComments()));
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}
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protected:
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virtual std::string GetName() const = 0;
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virtual std::string GetComments() const = 0;
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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#define REGISTER_OP_MAKER(op_type, comment) \
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namespace paddle { \
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namespace operators { \
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class _##op_type##OverflowOpMaker \
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: public ::paddle::operators::OverflowOpMaker { \
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protected: \
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std::string GetName() const { return #op_type; } \
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std::string GetComments() const { return comment; } \
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}; \
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} \
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} \
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REGISTER_OPERATOR(op_type, ops::OverflowOp, \
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ops::_##op_type##OverflowOpMaker, \
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paddle::framework::EmptyGradOpMaker)
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#define REGISTER_OVERFLOW_CPU_KERNEL(op_type, functor) \
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REGISTER_OP_CPU_KERNEL( \
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op_type, ops::OverflowKernel<paddle::platform::CPUDeviceContext, int, \
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ops::functor>, \
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ops::OverflowKernel<paddle::platform::CPUDeviceContext, float, \
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ops::functor>, \
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ops::OverflowKernel<paddle::platform::CPUDeviceContext, double, \
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ops::functor>);
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REGISTER_OP_MAKER(isinf, "isinf(X)");
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REGISTER_OP_MAKER(isnan, "isnan(X)");
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REGISTER_OP_MAKER(isfinite, "isfinite(X)");
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FOR_EACH_KERNEL_FUNCTOR(REGISTER_OVERFLOW_CPU_KERNEL);
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