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Paddle/paddle/fluid/operators/one_hot_op.h

70 lines
2.4 KiB

// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/math/math_function.h"
namespace paddle {
namespace operators {
template <typename DeviceContext, typename InT>
struct OneHotOpFunctor {
const framework::LoDTensor* in_;
framework::LoDTensor* out_;
int depth_;
const DeviceContext& ctx_;
OneHotOpFunctor(const framework::LoDTensor* in, framework::LoDTensor* out,
int depth, const DeviceContext& ctx)
: in_(in), out_(out), depth_(depth), ctx_(ctx) {}
template <typename OutT>
void operator()() const {
auto* p_in_data = in_->data<InT>();
auto numel = in_->numel();
auto* p_out_data = out_->mutable_data<OutT>(ctx_.GetPlace());
math::set_constant(ctx_, out_, 0.0);
for (int i = 0; i < numel; ++i) {
PADDLE_ENFORCE_GE(p_in_data[i], 0,
"Illegal index value, should be at least 0.");
PADDLE_ENFORCE_LT(p_in_data[i], depth_,
"Illegal index value, should be less than depth (%d).",
depth_);
*(p_out_data + i * depth_ + p_in_data[i]) = 1.0;
}
}
};
using LoDTensor = framework::LoDTensor;
template <typename DeviceContext, typename T>
class OneHotKernel : public framework::OpKernel<T> {
public:
void Compute(const framework::ExecutionContext& context) const override {
auto* in = context.Input<LoDTensor>("X");
auto* out = context.Output<LoDTensor>("Out");
int depth = context.Attr<int>("depth");
framework::VisitDataType(
[WIP] Move DataType enum inside VarType (#8447) * Move Pod Types from DataType enum to Type enum * Fixed data_type.h * Fix type in TensorDesc * Add comment to framework.proto * Fixed type in data_type.h * Updated format of type in data_type.h * Fix var_desc.h * Fix op_kernel_type.h * Fixed data_type_transform_test.cc * Fix operator.h * Fixed data_type_transform.cc * Fixed op_kernel_type_test.cc * Fix operator.cc * Fixed data_layout_transform_test.cc * Fix var_desc.cc * Fixed assign_value_op.cc * Fixed assign_value_op.h * fixed protobuf.cc * Fix data_layout_transform_test.cc and op_kernel_type_test.cc * Fixed rnn_memory_helper_op.cc * Fix progrma_desc_test.cc * Fixed fill_constant_batch_size_like_op.cc * Fix operator_test.cc * Fixed fill_constant_op.cc * Fixed gaussian_random_op.cc * Fixed uniform_random_op.cc * Fixed edit_distance_op.cc * Fixed fill_constant_batch_size_like_op.cc * Fixed rnn_memory_helper_op.cc * Fixed chunk_eval_op.cc * Fixed assign_value_op.cc * Fixed assign_value_op.h * Fixed cast_op.h * Fixed cast_op.h * Fix fill constant op * Fixed clang for assign_value_op.cc * Fix one_hot_op.h * Fix one_hot_op.cc * Fix fill_op.cc * Fixed sum_op.cc * Fixed sum_op clang * Fix uniform_random_op.cc * Fix gaussian_random_op.cc * Fix backward.cc * Fix protobuf.cc * Fixed prune_test.cc * Fixed op_registry_test.cc * Fix data_device_transform_test.cu * Fix travis error * Fixed one_hot_op.cu * Fixed op_registry_test.cc * Fixed nccl_op.cc * Fixing python tests * Revert "Fixing python tests" This reverts commit fccaa4c5818ed9f379ea1ce4315066cc78076c64. * Fixing Pybind to remove data type * Fixing tensor.py * Updated the new files: * Resolve error in merge conflict of fill_constant_batch_size_like_op.cc
7 years ago
static_cast<framework::proto::VarType::Type>(
context.Attr<int>("dtype")),
OneHotOpFunctor<DeviceContext, T>(
in, out, depth, context.template device_context<DeviceContext>()));
}
};
} // namespace operators
} // namespace paddle