// Copyright (c) 2022 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. #include "paddle/phi/kernels/scale_kernel.h" #include "paddle/fluid/platform/device/xpu/xpu_header.h" #include "paddle/phi/backends/xpu/xpu_context.h" #include "paddle/phi/common/data_type.h" #include "paddle/phi/common/float16.h" #include "paddle/phi/core/compat/convert_utils.h" #include "paddle/phi/core/kernel_registry.h" namespace phi { template void ScaleKernel(const Context& dev_ctx, const DenseTensor& x, const Scalar& scale, float bias, bool bias_after_scale, DenseTensor* out) { out->mutable_data(dev_ctx.GetPlace()); PADDLE_ENFORCE_EQ( x.dims(), out->dims(), phi::errors::InvalidArgument("In and out should have the same dim," " expected %s, but got %s.", x.dims().to_str().c_str(), out->dims().to_str().c_str())); using XPUType = typename XPUTypeTrait::Type; int r = xpu::scale(dev_ctx.x_context(), reinterpret_cast(x.data()), reinterpret_cast(out->data()), x.numel(), bias_after_scale, scale.to(), bias); PADDLE_ENFORCE_EQ( r, XPU_SUCCESS, phi::errors::External( "XPU scale kernel return wrong value[%d %s]", r, XPUAPIErrorMsg[r])); } } // namespace phi PD_REGISTER_KERNEL(scale, XPU, ALL_LAYOUT, phi::ScaleKernel, float, phi::dtype::float16, int64_t) {}