mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-04-20 14:59:17 +00:00
[CK TILE] GEMM with packed i4 (#1885)
* [CK TILE] GEMM with packed i4 * Fixes * fixes * fixes * fixes
This commit is contained in:
@@ -29,6 +29,60 @@ auto calculate_rtol_atol(const ck_tile::index_t K,
|
||||
// Use higher threshold
|
||||
return ck_tile::make_tuple(std::max(rtol, rtol_split_k), std::max(atol, atol_split_k));
|
||||
}
|
||||
template <typename Tensor>
|
||||
void permute_tensor_b(Tensor& tensor)
|
||||
{
|
||||
const ck_tile::index_t K = tensor.get_length(0);
|
||||
const ck_tile::index_t N = tensor.get_length(1);
|
||||
// vector pk_i4x4 permute
|
||||
for(int i = 0; i < N; i++)
|
||||
{
|
||||
for(int j = 0; j < K; j += 8)
|
||||
{
|
||||
int8_t input[8];
|
||||
|
||||
for(int k = 0; k < 4; k++)
|
||||
{
|
||||
int8_t i4x2 = tensor(j + k * 2, i).data;
|
||||
input[k * 2 + 0] = (i4x2 >> 4) & 0xf;
|
||||
input[k * 2 + 1] = (i4x2 >> 0) & 0xf;
|
||||
}
|
||||
|
||||
// permute 01234567->20643175
|
||||
{
|
||||
int8_t hi = input[2];
|
||||
int8_t lo = input[0];
|
||||
int8_t i4x2 = (hi << 4) | lo;
|
||||
|
||||
tensor(j + 0, i) = i4x2;
|
||||
}
|
||||
|
||||
{
|
||||
int8_t hi = input[6];
|
||||
int8_t lo = input[4];
|
||||
int8_t i4x2 = (hi << 4) | lo;
|
||||
|
||||
tensor(j + 2, i) = i4x2;
|
||||
}
|
||||
|
||||
{
|
||||
int8_t hi = input[3];
|
||||
int8_t lo = input[1];
|
||||
int8_t i4x2 = (hi << 4) | lo;
|
||||
|
||||
tensor(j + 4, i) = i4x2;
|
||||
}
|
||||
|
||||
{
|
||||
int8_t hi = input[7];
|
||||
int8_t lo = input[5];
|
||||
int8_t i4x2 = (hi << 4) | lo;
|
||||
|
||||
tensor(j + 6, i) = i4x2;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
template <typename ADataType,
|
||||
typename BDataType,
|
||||
@@ -83,7 +137,12 @@ float invoke_gemm(ck_tile::DeviceMem& a_m_k_dev_buf,
|
||||
return ave_time;
|
||||
}
|
||||
|
||||
template <typename PrecType, typename ALayout, typename BLayout, typename CLayout>
|
||||
template <typename ADataType,
|
||||
typename BDataType = ADataType,
|
||||
typename CDataType = ADataType,
|
||||
typename ALayout,
|
||||
typename BLayout,
|
||||
typename CLayout>
|
||||
int run_gemm_example_with_layouts(int argc,
|
||||
char* argv[],
|
||||
const ALayout a_layout = ALayout{},
|
||||
@@ -94,10 +153,7 @@ int run_gemm_example_with_layouts(int argc,
|
||||
if(!result)
|
||||
return -1;
|
||||
|
||||
using ADataType = typename GemmBasicTypeConfig<PrecType>::ADataType;
|
||||
using BDataType = typename GemmBasicTypeConfig<PrecType>::BDataType;
|
||||
using CDataType = typename GemmBasicTypeConfig<PrecType>::CDataType;
|
||||
using AccDataType = typename GemmBasicTypeConfig<PrecType>::AccDataType;
|
||||
using AccDataType = typename GemmBasicTypeConfig<ADataType, BDataType, CDataType>::AccDataType;
|
||||
|
||||
ck_tile::index_t M = arg_parser.get_int("m");
|
||||
ck_tile::index_t N = arg_parser.get_int("n");
|
||||
@@ -149,7 +205,17 @@ int run_gemm_example_with_layouts(int argc,
|
||||
ck_tile::DeviceMem c_m_n_dev_buf(c_m_n_dev_result.get_element_space_size_in_bytes());
|
||||
|
||||
a_m_k_dev_buf.ToDevice(a_m_k.data());
|
||||
b_k_n_dev_buf.ToDevice(b_k_n.data());
|
||||
if constexpr(std::is_same_v<BDataType, ck_tile::pk_int4_t>)
|
||||
{
|
||||
// Permute data for device implementation
|
||||
ck_tile::HostTensor<BDataType> b_k_n_dev = b_k_n;
|
||||
permute_tensor_b(b_k_n_dev);
|
||||
b_k_n_dev_buf.ToDevice(b_k_n_dev.data());
|
||||
}
|
||||
else
|
||||
{
|
||||
b_k_n_dev_buf.ToDevice(b_k_n.data());
|
||||
}
|
||||
c_m_n_dev_buf.SetZero();
|
||||
c_m_n_dev_result.SetZero();
|
||||
|
||||
@@ -195,6 +261,11 @@ int run_gemm_example_with_layouts(int argc,
|
||||
}
|
||||
else if(arg_parser.get_int("v") == 2)
|
||||
{
|
||||
if constexpr(std::is_same_v<BDataType, ck_tile::pk_int4_t>)
|
||||
{
|
||||
// Restore input for B for gpu reference
|
||||
b_k_n_dev_buf.ToDevice(b_k_n.data());
|
||||
}
|
||||
ck_tile::HostTensor<CDataType> c_m_n_gpu_ref(
|
||||
ck_tile::host_tensor_descriptor(M, N, stride_C, is_row_major(CLayout{})));
|
||||
ck_tile::DeviceMem c_m_n_gpu_buf_ref(c_m_n_gpu_ref.get_element_space_size_in_bytes());
|
||||
@@ -205,17 +276,18 @@ int run_gemm_example_with_layouts(int argc,
|
||||
BDataType* d_B;
|
||||
CDataType* d_C;
|
||||
|
||||
ck_tile::hip_check_error(hipMalloc(&d_A, M * K * sizeof(ADataType)));
|
||||
ck_tile::hip_check_error(hipMalloc(&d_B, N * K * sizeof(BDataType)));
|
||||
ck_tile::hip_check_error(hipMalloc(&d_C, M * N * sizeof(CDataType)));
|
||||
ck_tile::hip_check_error(hipMalloc(&d_A, a_m_k.get_element_space_size_in_bytes()));
|
||||
ck_tile::hip_check_error(hipMalloc(&d_B, b_k_n.get_element_space_size_in_bytes()));
|
||||
ck_tile::hip_check_error(
|
||||
hipMalloc(&d_C, c_m_n_dev_result.get_element_space_size_in_bytes()));
|
||||
|
||||
ck_tile::hip_check_error(hipMemcpy(d_A,
|
||||
a_m_k_dev_buf.GetDeviceBuffer(),
|
||||
M * K * sizeof(ADataType),
|
||||
a_m_k.get_element_space_size_in_bytes(),
|
||||
hipMemcpyHostToDevice));
|
||||
ck_tile::hip_check_error(hipMemcpy(d_B,
|
||||
b_k_n_dev_buf.GetDeviceBuffer(),
|
||||
N * K * sizeof(BDataType),
|
||||
b_k_n.get_element_space_size_in_bytes(),
|
||||
hipMemcpyHostToDevice));
|
||||
|
||||
ck_tile::reference_gemm_gpu<ADataType,
|
||||
@@ -228,7 +300,7 @@ int run_gemm_example_with_layouts(int argc,
|
||||
|
||||
ck_tile::hip_check_error(hipMemcpy(c_m_n_gpu_buf_ref.GetDeviceBuffer(),
|
||||
d_C,
|
||||
M * N * sizeof(CDataType),
|
||||
c_m_n_dev_result.get_element_space_size_in_bytes(),
|
||||
hipMemcpyDeviceToHost));
|
||||
|
||||
ck_tile::hip_check_error(hipFree(d_A));
|
||||
|
||||
Reference in New Issue
Block a user