wehub-resource-sync
102 lines
4.0 KiB
C++
102 lines
4.0 KiB
C++
// Copyright (c) 2024 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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#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>
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void FakeQuantizeRangeAbsMaxKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& in_scale,
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const optional<DenseTensor>& iter,
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int window_size,
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int bit_length,
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bool is_test,
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int round_type,
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DenseTensor* out,
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DenseTensor* out_scale,
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DenseTensor* out_scales);
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template <typename T, typename Context>
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void FakeQuantizeAbsMaxKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int bit_length,
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int round_type,
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DenseTensor* out,
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DenseTensor* out_scale);
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template <typename T, typename Context>
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void FakeQuantOrWithDequantMovingAverageAbsMaxKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& in_scale,
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const optional<DenseTensor>& in_accum,
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const optional<DenseTensor>& in_state,
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float moving_rate,
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int bit_length,
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bool is_test,
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int round_type,
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DenseTensor* out,
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DenseTensor* out_scale,
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DenseTensor* out_state,
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DenseTensor* out_accum);
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template <typename T, typename Context>
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void FakeChannelWiseQuantizeAbsMaxKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int bit_length,
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int round_type,
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int quant_axis,
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bool is_test,
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DenseTensor* out,
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DenseTensor* out_scale);
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template <typename T, typename Context>
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void FakeChannelWiseQuantizeDequantizeAbsMaxKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int bit_length,
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int round_type,
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int quant_axis,
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DenseTensor* out,
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DenseTensor* out_scale);
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template <typename T, typename Context>
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void FakeQuantizeDequantizeMovingAverageAbsMaxKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& in_scale,
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const optional<DenseTensor>& in_accum,
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const optional<DenseTensor>& in_state,
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float moving_rate,
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int bit_length,
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bool is_test,
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int round_type,
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DenseTensor* out,
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DenseTensor* out_scale,
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DenseTensor* out_state,
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DenseTensor* out_accum);
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template <typename T, typename Context>
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void FakeQuantizeDequantizeAbsMaxKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int bit_length,
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int round_type,
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DenseTensor* out,
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DenseTensor* out_scale);
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} // namespace phi
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