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move dequantize kernel to phi (PaddlePaddle#53739)
* update * fix bug * fix output type def
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// Copyright (c) 2023 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. | ||
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#pragma once | ||
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#include "paddle/phi/core/dense_tensor.h" | ||
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namespace phi { | ||
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template <typename T, typename Context> | ||
void DeQuantKernel(const Context& dev_ctx, | ||
const DenseTensor& x, | ||
const float quantization_scale, | ||
const float quantization_shift, | ||
DenseTensor* out); | ||
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} // namespace phi |
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// Copyright (c) 2023 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. | ||
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#include "paddle/phi/kernels/dequantize_kernel.h" | ||
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#include "paddle/phi/backends/onednn/onednn_context.h" | ||
#include "paddle/phi/backends/onednn/onednn_helper.h" | ||
#include "paddle/phi/backends/onednn/onednn_reuse.h" | ||
#include "paddle/phi/core/enforce.h" | ||
#include "paddle/phi/core/kernel_registry.h" | ||
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namespace phi { | ||
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template <typename T, typename Context> | ||
void DeQuantKernel(const Context& dev_ctx, | ||
const DenseTensor& x, | ||
const float quantization_scale, | ||
const float quantization_shift, | ||
DenseTensor* out) { | ||
const bool with_shift = quantization_shift != 0.0f; | ||
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PADDLE_ENFORCE(quantization_scale != 0.0f, | ||
phi::errors::InvalidArgument( | ||
"Dequantization scale must be different than 0.0f")); | ||
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PADDLE_ENFORCE(quantization_shift <= 255 && quantization_shift >= 0, | ||
phi::errors::InvalidArgument( | ||
"Dequantization shift must be lower or equal to ", | ||
"255 and greater or equal to 0, but got %f", | ||
quantization_shift)); | ||
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auto x_tz = phi::vectorize<int64_t>(x.dims()); | ||
auto x_type = phi::funcs::ToOneDNNDataType(x.dtype()); | ||
auto out_type = phi::funcs::ToOneDNNDataType(out->dtype()); | ||
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dnnl::primitive_attr attrs; | ||
static constexpr int32_t mask = 0; // same shift and scale for whole tensor | ||
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const float reorder_scale = 1. / quantization_scale; | ||
attrs.set_output_scales(mask, {reorder_scale}); | ||
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if (with_shift) { | ||
attrs.set_zero_points( | ||
DNNL_ARG_SRC, mask, {static_cast<int32_t>(quantization_shift)}); | ||
} | ||
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phi::funcs::ReorderOneDNNHandler reorder_handler( | ||
x_tz, x.dtype(), x_type, out->dtype(), out_type, dev_ctx.GetEngine()); | ||
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auto reorder_src_memory_p = reorder_handler.AcquireSrcMemory( | ||
x.mem_desc(), phi::funcs::to_void_cast(x.data<T>())); | ||
auto reorder_dst_memory_p = | ||
reorder_handler.AcquireDstMemory(out, x.mem_desc(), dev_ctx.GetPlace()); | ||
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auto reorder_p = reorder_handler.AcquireReorder( | ||
reorder_dst_memory_p, reorder_src_memory_p, attrs); | ||
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auto& astream = phi::OneDNNContext::tls().get_stream(); | ||
reorder_p->execute(astream, *reorder_src_memory_p, *reorder_dst_memory_p); | ||
astream.wait(); | ||
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out->set_mem_desc(reorder_dst_memory_p->get_desc()); | ||
} | ||
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} // namespace phi | ||
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PD_REGISTER_KERNEL(dequantize, | ||
OneDNN, | ||
ONEDNN, | ||
phi::DeQuantKernel, | ||
uint8_t, | ||
int8_t, | ||
phi::dtype::bfloat16) { | ||
kernel->OutputAt(0).SetDataType(phi::DataType::FLOAT32); | ||
} |
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/* Copyright (c) 2023 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. */ | ||
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#include "paddle/phi/core/compat/op_utils.h" | ||
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namespace phi { | ||
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KernelSignature DeQuantOpArgumentMapping(const ArgumentMappingContext& ctx) { | ||
return KernelSignature( | ||
"dequantize", {"Input"}, {"Scale", "Shift"}, {"Output"}); | ||
} | ||
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} // namespace phi | ||
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PD_REGISTER_ARG_MAPPING_FN(dequantize, phi::DeQuantOpArgumentMapping); |