wehub-resource-sync
84 lines
3.1 KiB
C++
84 lines
3.1 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/cast_kernel.h"
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#include "paddle/phi/backends/onednn/onednn_reuse.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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bool CastCheckIfOneDNNSupport(const KernelContext* dev_ctx) {
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if ((dev_ctx->InputAt<DenseTensor>(0).dtype() != DataType::FLOAT32 &&
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dev_ctx->InputAt<DenseTensor>(0).dtype() != DataType::BFLOAT16) ||
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(dev_ctx->AttrAt<DataType>(0) != DataType::FLOAT32 &&
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dev_ctx->AttrAt<DataType>(0) != DataType::BFLOAT16)) {
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return false;
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}
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return true;
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}
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template <typename T, typename Context>
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void CastKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DataType out_dtype,
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DenseTensor* out) {
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// Should keep eye on it, since it may hide some issue action like meaningless
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// cast (intended to transfer but due to some reason appear to be cast between
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// same dtype)
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if (x.dtype() == out_dtype) {
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if (!out->IsSharedWith(x)) {
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phi::Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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out->set_lod(x.lod());
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out->set_mem_desc(x.mem_desc());
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}
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return;
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}
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DataType in_dtype = x.dtype();
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dnnl::memory::data_type in_dnnl_dtype = funcs::ToOneDNNDataType(in_dtype);
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dnnl::memory::data_type out_dnnl_dtype = funcs::ToOneDNNDataType(out_dtype);
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auto x_tz = vectorize(x.dims());
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funcs::ReorderOneDNNHandler reorder_handler(x_tz,
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in_dtype,
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in_dnnl_dtype,
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out_dtype,
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out_dnnl_dtype,
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dev_ctx.GetEngine());
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auto reorder_src_memory_p = reorder_handler.AcquireSrcMemory(
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x.mem_desc(), funcs::to_void_cast(x.data<T>()));
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auto reorder_dst_memory_p =
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reorder_handler.AcquireDstMemory(out, x.mem_desc(), dev_ctx.GetPlace());
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auto reorder_p = reorder_handler.AcquireReorder(reorder_dst_memory_p,
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reorder_src_memory_p);
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auto& astream = OneDNNContext::tls().get_stream();
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reorder_p->execute(astream, *reorder_src_memory_p, *reorder_dst_memory_p);
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astream.wait();
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out->set_layout(DataLayout::ONEDNN);
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out->set_mem_desc(reorder_dst_memory_p->get_desc());
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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cast, OneDNN, ONEDNN, phi::CastKernel, float, phi::bfloat16) {
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kernel->check_if_onednn_kernel_support_ = phi::CastCheckIfOneDNNSupport;
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}
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