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57 lines
1.9 KiB
57 lines
1.9 KiB
6 years ago
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/* Copyright (c) 2016 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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extern "C" {
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#include <xxhash.h>
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}
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#include "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/op_registry.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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template <typename T>
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class HashKerel : public framework::OpKernel<T> {
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public:
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virtual void Compute(const framework::ExecutionContext& context) const {
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auto* out_t = context.Output<framework::LoDTensor>("Out");
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auto* in_t = context.Input<framework::LoDTensor>("X");
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int mod_by = context.Attr<int>("mod_by");
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int num_hash = context.Attr<int>("num_hash");
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auto* output = out_t->mutable_data<T>(context.GetPlace());
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auto in_dims = in_t->dims();
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auto in_lod = in_t->lod();
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PADDLE_ENFORCE_EQ(
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static_cast<uint64_t>(in_dims[0]), in_lod[0].back(),
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"The actual input data's size mismatched with LoD information.");
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auto seq_length = in_dims[0];
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auto last_dim = in_dims[in_dims.size() - 1];
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auto* input = in_t->data<T>();
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for (int idx = 0; idx < seq_length; ++idx) {
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for (int ihash = 0; ihash != num_hash; ++ihash) {
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output[idx * num_hash + ihash] =
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XXH64(input, sizeof(int) * last_dim, ihash) % mod_by;
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}
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input += last_dim;
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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