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* Copyright (c) 2024 by FlashInfer team.
*
* 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.
*/
#ifndef FLASHINFER_CUTLASS_UTILS_CUH_
#define FLASHINFER_CUTLASS_UTILS_CUH_
#include <cuda_fp8.h>
#include "cute/tensor.hpp"
#include "cutlass/cutlass.h"
#include "cutlass/epilogue/collective/collective_builder.hpp"
#include "cutlass/epilogue/collective/default_epilogue.hpp"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/collective/collective_builder.hpp"
#include "cutlass/gemm/device/gemm_grouped.h"
#include "cutlass/gemm/device/gemm_universal_adapter.h"
#include "cutlass/gemm/dispatch_policy.hpp"
#include "cutlass/gemm/group_array_problem_shape.hpp"
#include "cutlass/gemm/kernel/default_gemm_grouped.h"
#include "cutlass/gemm/kernel/gemm_universal.hpp"
#include "cutlass/layout/matrix.h"
#include "cutlass/numeric_types.h"
#include "cutlass/tensor_ref.h"
#include "cutlass/util/command_line.h"
#include "cutlass/util/distribution.h"
#include "cutlass/util/host_tensor.h"
#include "cutlass/util/packed_stride.hpp"
#include "cutlass/util/reference/device/gemm.h"
#include "cutlass/util/reference/device/tensor_compare.h"
#include "cutlass/util/reference/device/tensor_fill.h"
#include "cutlass/util/tensor_view_io.h"
#if defined(FLASHINFER_ENABLE_FP4_E2M1)
#include <cuda_fp4.h>
#endif
namespace flashinfer {
template <typename T>
struct cutlass_dtype {
using type = T;
};
template <>
struct cutlass_dtype<half> {
using type = cutlass::half_t;
};
template <>
struct cutlass_dtype<nv_bfloat16> {
using type = cutlass::bfloat16_t;
};
template <>
struct cutlass_dtype<__nv_fp8_e4m3> {
using type = cutlass::float_e4m3_t;
};
template <>
struct cutlass_dtype<__nv_fp8_e5m2> {
using type = cutlass::float_e5m2_t;
};
#if (__CUDACC_VER_MAJOR__ * 10000 + __CUDACC_VER_MINOR__ * 100 >= 120800)
template <>
struct cutlass_dtype<__nv_fp8_e8m0> {
using type = cutlass::float_ue8m0_t;
};
#if defined(FLASHINFER_ENABLE_FP4_E2M1)
template <>
struct cutlass_dtype<__nv_fp4_e2m1> {
using type = cutlass::float_e2m1_t;
};
#endif
#endif
template <typename T>
using cutlass_dtype_t = typename cutlass_dtype<T>::type;
template <typename T>
void compileTimeDebug(T&&) {
static_assert(sizeof(T) == 0, "Compile time debug");
}
#define CUTLASS_CHECK(cmd) \
do { \
auto status = cmd; \
if (status != cutlass::Status::kSuccess) { \
std::ostringstream err_msg; \
err_msg << "cutlass " << #cmd << " failed: " << cutlassGetStatusString(status); \
FLASHINFER_ERROR(err_msg.str()); \
} \
} while (0)
} // namespace flashinfer
#endif // FLASHINFER_CUTLASS_UTILS_CUH_
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