105 lines
3.6 KiB
C++
105 lines
3.6 KiB
C++
// Copyright (c) 2024 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/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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namespace phi {
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template <typename T, typename Context>
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void AddPositionEncodingKernel(const Context& dev_ctx,
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const DenseTensor& x_in,
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float alpha,
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float beta,
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DenseTensor* out) {
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auto* X = &x_in;
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auto& x_lod = X->lod();
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auto* src_ptr = X->data<T>();
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auto* dst_ptr = dev_ctx.template Alloc<T>(out);
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auto x_dim = X->dims();
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int64_t batch_size = 0;
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int64_t max_seq_len = 0;
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int64_t enc_size = 0;
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if (x_lod.empty()) {
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PADDLE_ENFORCE_EQ(x_dim.size(),
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3,
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common::errors::InvalidArgument(
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"The input(X)'s dimension of AddPositionEncodingOp "
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"should be equal to "
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"3, but received %d. ",
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x_dim.size()));
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batch_size = x_dim[0];
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max_seq_len = x_dim[1];
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enc_size = x_dim[2];
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} else {
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PADDLE_ENFORCE_EQ(x_dim.size(),
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2,
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common::errors::InvalidArgument(
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"The input(X)'s dimension of AddPositionEncodingOp "
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"should be equal to "
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"2, but received %d. ",
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x_dim.size()));
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PADDLE_ENFORCE_EQ(x_lod.size(),
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1,
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common::errors::InvalidArgument(
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"The input(X)'s lod level of AddPositionEncodingOp "
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"should be equal to "
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"1, but received %d. ",
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x_lod.size()));
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batch_size = x_lod[0].size() - 1;
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max_seq_len = -1;
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enc_size = x_dim[1];
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}
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PADDLE_ENFORCE_EQ(enc_size % 2,
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0,
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common::errors::InvalidArgument(
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"The input(X)'s feature size of "
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"AddPositionEncodingOp only support even, "
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"but received an odd number: %d. ",
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enc_size));
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const int64_t half_size = enc_size / 2;
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for (int64_t i = 0; i < batch_size; ++i) {
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const int64_t max_length =
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x_lod.empty() ? max_seq_len : x_lod[0][i + 1] - x_lod[0][i];
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for (int64_t j = 0; j < max_length; ++j) {
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for (int64_t k = 0; k < half_size; ++k) {
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const double val =
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(half_size > 1)
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? j / pow(10000.0, static_cast<double>(k) / (half_size - 1))
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: j / 10000.0;
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dst_ptr[k] = src_ptr[k] * alpha + sin(val) * beta;
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dst_ptr[half_size + k] =
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src_ptr[half_size + k] * alpha + cos(val) * beta;
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}
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src_ptr += enc_size;
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dst_ptr += enc_size;
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}
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(add_position_encoding,
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CPU,
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ALL_LAYOUT,
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phi::AddPositionEncodingKernel,
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float,
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double) {}
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