48 lines
1.4 KiB
C++
48 lines
1.4 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/kernels/swiglu_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/activation_functor.h"
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namespace phi {
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template <typename T, typename Context>
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void SwiGLUKernelImpl(const Context &dev_ctx,
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const T *x,
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const T *y,
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T *z,
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int64_t m,
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int64_t n) {
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funcs::SwiGLUFunctor<T> functor;
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int64_t stride;
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if (y) {
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stride = n;
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} else {
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stride = 2 * n;
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y = x + n;
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}
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for (int64_t i = 0; i < m; ++i) {
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for (int64_t j = 0; j < n; ++j) {
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z[i * n + j] = functor(x[i * stride + j], y[i * stride + j]);
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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(swiglu, CPU, ALL_LAYOUT, phi::SwiGLUKernel, float, double) {}
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