wehub-resource-sync
70 lines
2.4 KiB
C++
70 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/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename TX, typename TY, typename Context>
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void QuantizeKernelImpl(const Context& dev_ctx,
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const DenseTensor& x,
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float scale,
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DenseTensor* y) {
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using XPUInX = typename XPUTypeTrait<TX>::Type;
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using XPUOutY = typename XPUTypeTrait<TY>::Type;
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auto* y_data = dev_ctx.template Alloc<TY>(y);
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const auto* x_data = x.data<TX>();
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int64_t len = x.numel();
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int max_ptr_size = dev_ctx.x_context()->max_ptr_size();
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xpu::ctx_guard RAII_GUARD(dev_ctx.x_context());
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auto max_data = RAII_GUARD.alloc_l3_or_gm<float>(max_ptr_size);
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int r =
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xpu::constant<float>(dev_ctx.x_context(), max_data, max_ptr_size, scale);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "constant");
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r = xpu::quantization<XPUInX, XPUOutY>(
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dev_ctx.x_context(),
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reinterpret_cast<const XPUInX*>(x_data),
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reinterpret_cast<XPUOutY*>(y_data),
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len,
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max_data);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "quantization");
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}
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template <typename T, typename Context>
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void QuantizeKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DataType out_dtype,
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float scale,
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DenseTensor* y) {
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switch (out_dtype) {
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case DataType::INT16:
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QuantizeKernelImpl<T, int16_t, Context>(dev_ctx, x, scale, y);
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break;
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case DataType::INT8:
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QuantizeKernelImpl<T, int8_t, Context>(dev_ctx, x, scale, y);
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break;
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default:
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PADDLE_THROW(common::errors::Unavailable(
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"Not supported quantize data type from %d -> %d ",
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x.dtype(),
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out_dtype));
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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quantize_xpu, XPU, ALL_LAYOUT, phi::QuantizeKernel, float, phi::float16) {}
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