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#include <string>
#include <cudaTypedefs.h>
#include <c10/cuda/CUDAGuard.h>
#include <torch/all.h>
#include "cutlass_extensions/common.hpp"
void cutlass_scaled_mm_sm75(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
std::optional<torch::Tensor> const& bias);
void cutlass_scaled_mm_sm80(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
std::optional<torch::Tensor> const& bias);
void cutlass_scaled_mm_sm89(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
std::optional<torch::Tensor> const& bias);
#if __CUDACC_VER_MAJOR__ >= 12
void cutlass_scaled_mm_sm90(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
std::optional<torch::Tensor> const& bias);
#endif
#if (__CUDACC_VER_MAJOR__ > 12) || (__CUDACC_VER_MAJOR__ == 12 && __CUDACC_VER_MINOR__ >= 9)
void cutlass_scaled_mm_sm100(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
std::optional<torch::Tensor> const& bias);
#endif
void cutlass_scaled_mm_azp_sm75(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
torch::Tensor const& azp_adj,
std::optional<torch::Tensor> const& azp,
std::optional<torch::Tensor> const& bias);
void cutlass_scaled_mm_azp_sm80(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
torch::Tensor const& azp_adj,
std::optional<torch::Tensor> const& azp,
std::optional<torch::Tensor> const& bias);
void cutlass_scaled_mm_azp_sm89(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
torch::Tensor const& azp_adj,
std::optional<torch::Tensor> const& azp,
std::optional<torch::Tensor> const& bias);
#if __CUDACC_VER_MAJOR__ >= 12
void cutlass_scaled_mm_azp_sm90(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
torch::Tensor const& azp_adj,
std::optional<torch::Tensor> const& azp,
std::optional<torch::Tensor> const& bias);
#endif
bool cutlass_scaled_mm_supports_fp8(int64_t cuda_device_capability) {
// CUTLASS FP8 kernels need at least
// CUDA 12.0 on SM90 systems (Hopper)
// CUDA 12.4 on SM89 systems (Lovelace)
#if defined CUDA_VERSION
if (cuda_device_capability >= 90) {
return CUDA_VERSION >= 12000;
} else if (cuda_device_capability >= 89) {
return CUDA_VERSION >= 12040;
}
#endif
return false;
}
bool cutlass_scaled_mm_supports_block_fp8(int64_t cuda_device_capability) {
// CUTLASS block-quantized FP8 kernels need at least CUDA 12.0
// and at least SM90 (Hopper)
#if defined CUDA_VERSION
if (cuda_device_capability >= 90 && cuda_device_capability < 100) {
return CUDA_VERSION >= 12000;
} else if (cuda_device_capability >= 100) {
return CUDA_VERSION >= 12080;
}
#endif
return false;
}
bool cutlass_group_gemm_supported(int64_t cuda_device_capability) {
// CUTLASS grouped FP8 kernels need at least CUDA 12.3
// and SM90 (Hopper)
#if defined CUDA_VERSION
if (cuda_device_capability == 90) {
return CUDA_VERSION >= 12030;
}
#endif
return false;
}
void cutlass_scaled_mm(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b, torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
std::optional<torch::Tensor> const& bias) {
// Checks for conformality
TORCH_CHECK(a.dim() == 2 && b.dim() == 2 && c.dim() == 2);
TORCH_CHECK(c.size(0) == a.size(0) && a.size(1) == b.size(0) &&
b.size(1) == c.size(1));
// Check for strides and alignment
TORCH_CHECK(a.stride(1) == 1 && c.stride(1) == 1); // Row-major
TORCH_CHECK(b.stride(0) == 1); // Column-major
TORCH_CHECK(c.stride(0) % 16 == 0 &&
b.stride(1) % 16 == 0); // 16 Byte Alignment
if (bias) {
TORCH_CHECK(bias->numel() == b.size(1) && bias->is_contiguous() &&
bias->dim() == 1);
}
at::cuda::OptionalCUDAGuard const device_guard(device_of(a));
int32_t version_num = get_sm_version_num();
#if (__CUDACC_VER_MAJOR__ > 12) || (__CUDACC_VER_MAJOR__ == 12 && __CUDACC_VER_MINOR__ >= 9)
if (version_num >= 100) {
cutlass_scaled_mm_sm100(c, a, b, a_scales, b_scales, bias);
return;
}
#endif
// Guard against compilation issues for sm90 kernels
#if __CUDACC_VER_MAJOR__ >= 12
if (version_num >= 90 && version_num < 100) {
// Hopper
cutlass_scaled_mm_sm90(c, a, b, a_scales, b_scales, bias);
return;
}
#endif
if (version_num == 89) {
// Ada Lovelace
cutlass_scaled_mm_sm89(c, a, b, a_scales, b_scales, bias);
return;
}
if (version_num >= 80) {
// Ampere
cutlass_scaled_mm_sm80(c, a, b, a_scales, b_scales, bias);
return;
}
if (version_num >= 75) {
// Turing
cutlass_scaled_mm_sm75(c, a, b, a_scales, b_scales, bias);
return;
}
TORCH_CHECK_NOT_IMPLEMENTED(
false,
"No compiled cutlass_scaled_mm for a compute capability less than "
"CUDA device capability: ",
std::to_string(version_num));
}
void cutlass_scaled_mm_azp(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
torch::Tensor const& azp_adj,
std::optional<torch::Tensor> const& azp,
std::optional<torch::Tensor> const& bias) {
// Checks for conformality
TORCH_CHECK(a.dim() == 2 && b.dim() == 2 && c.dim() == 2);
TORCH_CHECK(c.size(0) == a.size(0) && a.size(1) == b.size(0) &&
b.size(1) == c.size(1));
TORCH_CHECK(a_scales.numel() == 1 || a_scales.numel() == a.size(0));
TORCH_CHECK(b_scales.numel() == 1 || b_scales.numel() == b.size(1));
// Check for strides and alignment
TORCH_CHECK(a.stride(1) == 1 && c.stride(1) == 1); // Row-major
TORCH_CHECK(b.stride(0) == 1); // Column-major
TORCH_CHECK(c.stride(0) % 16 == 0 &&
b.stride(1) % 16 == 0); // 16 Byte Alignment
TORCH_CHECK(a_scales.is_contiguous() && b_scales.is_contiguous());
// bias, azp, azp_adj are all 1d
// bias and azp_adj have n elements, azp has m elements
if (bias) {
TORCH_CHECK(bias->numel() == b.size(1) && bias->is_contiguous());
}
if (azp) {
TORCH_CHECK(azp->numel() == a.size(0) && azp->is_contiguous());
}
TORCH_CHECK(azp_adj.numel() == b.size(1) && azp_adj.is_contiguous());
// azp & bias types
TORCH_CHECK(azp_adj.dtype() == torch::kInt32);
TORCH_CHECK(!azp || azp->dtype() == torch::kInt32);
TORCH_CHECK(!bias || bias->dtype() == c.dtype(),
"currently bias dtype must match output dtype ", c.dtype());
at::cuda::OptionalCUDAGuard const device_guard(device_of(a));
int32_t version_num = get_sm_version_num();
#if __CUDACC_VER_MAJOR__ >= 12
if (version_num >= 90) {
cutlass_scaled_mm_azp_sm90(c, a, b, a_scales, b_scales, azp_adj, azp, bias);
return;
}
#endif
if (version_num == 89) {
// Ada Lovelace
cutlass_scaled_mm_azp_sm89(c, a, b, a_scales, b_scales, azp_adj, azp, bias);
return;
}
if (version_num >= 80) {
// Ampere
cutlass_scaled_mm_azp_sm80(c, a, b, a_scales, b_scales, azp_adj, azp, bias);
return;
}
// Turing
TORCH_CHECK(version_num >= 75);
cutlass_scaled_mm_azp_sm75(c, a, b, a_scales, b_scales, azp_adj, azp, bias);
return;
TORCH_CHECK_NOT_IMPLEMENTED(
false,
"No compiled cutlass_scaled_mm_azp for a compute capability less than "
"CUDA device capability: ",
std::to_string(version_num));
}
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