65 lines
2.4 KiB
Plaintext
65 lines
2.4 KiB
Plaintext
/*
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* Copyright (c) 2020-2023, 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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#pragma once
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#include <cuda_runtime.h>
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#include "fmhaKernels.cuh"
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#include "fmhaRunnerParams.h"
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class TllmGenFmhaRunner {
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public:
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// Constructor.
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explicit TllmGenFmhaRunner(Data_type dtypeQ, Data_type dtypeKv, Data_type dtypeOut)
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: mSM(getSMVersion()), mDtypeQ(dtypeQ), mDtypeKv(dtypeKv), mDtypeOut(dtypeOut) {
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TORCH_CHECK(mSM == kSM_100 || mSM == kSM_103, "Unsupported architecture");
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TORCH_CHECK(mDtypeQ == DATA_TYPE_E4M3 || mDtypeQ == DATA_TYPE_FP16 || mDtypeQ == DATA_TYPE_BF16,
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"Unsupported Q data type: " + std::string(toStr(mDtypeQ)));
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TORCH_CHECK(
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mDtypeKv == DATA_TYPE_E4M3 || mDtypeKv == DATA_TYPE_FP16 || mDtypeKv == DATA_TYPE_BF16,
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"Unsupported Kv data type: " + std::string(toStr(mDtypeKv)));
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TORCH_CHECK(mDtypeOut == DATA_TYPE_E4M3 || mDtypeOut == DATA_TYPE_FP16 ||
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mDtypeOut == DATA_TYPE_BF16 || mDtypeOut == DATA_TYPE_E2M1,
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"Unsupported Output data type: " + std::string(toStr(mDtypeOut)));
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mKernel = getTllmFmhaKernels(mDtypeQ, mDtypeKv, mDtypeOut, mSM);
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}
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TllmGenFmhaRunner() = default;
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// Check if fmha is supported.
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bool isSupported(TllmGenFmhaRunnerParams const& runnerParams) {
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return mKernel->checkIfKernelExist(runnerParams).first;
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}
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// Check if fmha is supported with additional info.
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std::pair<bool, std::string> isSupportedWithInfo(
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TllmGenFmhaRunnerParams const& runnerParams) const {
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return mKernel->checkIfKernelExist(runnerParams);
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}
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// Run the fmha kernel.
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void run(TllmGenFmhaRunnerParams const& runnerParams) { mKernel->run(runnerParams); }
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private:
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// The input/output datatype.
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Data_type mDtypeQ, mDtypeKv, mDtypeOut;
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// The SM version.
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int mSM;
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// The class that stores all the kernels.
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TllmGenFmhaKernel const* mKernel;
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};
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