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Signed-off-by: elvischenv <219235043+elvischenv@users.noreply.github.com> Signed-off-by: Luka Govedič <ProExpertProg@users.noreply.github.com> Co-authored-by: Luka Govedič <ProExpertProg@users.noreply.github.com>
75 lines
3.1 KiB
Plaintext
75 lines
3.1 KiB
Plaintext
/*
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* Copyright (c) 2025, NVIDIA CORPORATION. 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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*/
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#include <torch/all.h>
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#if (defined(ENABLE_NVFP4_SM100) && ENABLE_NVFP4_SM100) || \
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(defined(ENABLE_NVFP4_SM120) && ENABLE_NVFP4_SM120)
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void scaled_fp4_quant_sm1xxa(torch::Tensor const& output,
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torch::Tensor const& input,
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torch::Tensor const& output_sf,
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torch::Tensor const& input_sf);
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#endif
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#if defined ENABLE_NVFP4_SM100 && ENABLE_NVFP4_SM100
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void scaled_fp4_experts_quant_sm100a(
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torch::Tensor& output, torch::Tensor& output_scale,
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torch::Tensor const& input, torch::Tensor const& input_global_scale,
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torch::Tensor const& input_offset_by_experts,
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torch::Tensor const& output_scale_offset_by_experts);
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#endif
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#if (defined(ENABLE_NVFP4_SM100) && ENABLE_NVFP4_SM100) || \
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(defined(ENABLE_NVFP4_SM120) && ENABLE_NVFP4_SM120)
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void silu_and_mul_nvfp4_quant_sm1xxa(torch::Tensor& output,
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torch::Tensor& output_sf,
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torch::Tensor& input,
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torch::Tensor& input_sf);
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#endif
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void scaled_fp4_quant(torch::Tensor& output, torch::Tensor const& input,
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torch::Tensor& output_sf, torch::Tensor const& input_sf) {
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#if (defined(ENABLE_NVFP4_SM100) && ENABLE_NVFP4_SM100) || \
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(defined(ENABLE_NVFP4_SM120) && ENABLE_NVFP4_SM120)
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return scaled_fp4_quant_sm1xxa(output, input, output_sf, input_sf);
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#endif
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TORCH_CHECK_NOT_IMPLEMENTED(false, "No compiled nvfp4 quantization kernel");
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}
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void scaled_fp4_experts_quant(
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torch::Tensor& output, torch::Tensor& output_scale,
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torch::Tensor const& input, torch::Tensor const& input_global_scale,
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torch::Tensor const& input_offset_by_experts,
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torch::Tensor const& output_scale_offset_by_experts) {
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#if defined ENABLE_NVFP4_SM100 && ENABLE_NVFP4_SM100
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return scaled_fp4_experts_quant_sm100a(
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output, output_scale, input, input_global_scale, input_offset_by_experts,
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output_scale_offset_by_experts);
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#endif
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TORCH_CHECK_NOT_IMPLEMENTED(false,
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"No compiled nvfp4 experts quantization kernel");
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}
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void silu_and_mul_nvfp4_quant(torch::Tensor& output, torch::Tensor& output_sf,
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torch::Tensor& input, torch::Tensor& input_sf) {
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#if (defined(ENABLE_NVFP4_SM100) && ENABLE_NVFP4_SM100) || \
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(defined(ENABLE_NVFP4_SM120) && ENABLE_NVFP4_SM120)
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return silu_and_mul_nvfp4_quant_sm1xxa(output, output_sf, input, input_sf);
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#endif
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TORCH_CHECK_NOT_IMPLEMENTED(
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false, "No compiled silu_and_mul nvfp4 quantization kernel");
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}
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