69 lines
2.4 KiB
C++
69 lines
2.4 KiB
C++
// Copyright (c) 2022 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/scale_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/common/amp_type_traits.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void ScaleKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const Scalar& scale,
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const Scalar& bias,
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bool bias_after_scale,
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DenseTensor* out) {
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dev_ctx.template Alloc<T>(out);
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PADDLE_ENFORCE_EQ(
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x.dims(),
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out->dims(),
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common::errors::InvalidArgument("In and out should have the same dim,"
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" expected %s, but got %s.",
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x.dims().to_str().c_str(),
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out->dims().to_str().c_str()));
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if (x.numel() == 0 || !x.IsInitialized()) {
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return;
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}
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using XPUType = typename XPUTypeTrait<T>::Type;
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using MT = typename phi::dtype::MPTypeTrait<T>::Type;
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int r = xpu::scale<XPUType, MT>(dev_ctx.x_context(),
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reinterpret_cast<const XPUType*>(x.data<T>()),
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reinterpret_cast<XPUType*>(out->data<T>()),
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x.numel(),
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bias_after_scale,
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scale.to<MT>(),
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bias.to<MT>());
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "scale");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(scale,
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XPU,
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ALL_LAYOUT,
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phi::ScaleKernel,
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float,
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phi::float16,
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phi::bfloat16,
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uint8_t,
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int8_t,
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int16_t,
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int,
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int64_t) {}
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