Jing's contribution: prototype of mixed precision gemm FP16/BF16xint4 GEMM (#1762)

* add a prototype of int4

* clean

* debug

* clean

* clean

* move packed into dynamic_buffer

* fixed coord reset

* add fast pki4 to half conversion

* fix

* fixed reference and host_tensor

* fixed tensor init

* format

* debug i4_to_f16_convert

* format

* fixed splitk

* weight permute

* add b tile permute

* clean

* weight permute with splitki

* format

* improve weight layout

* add and_or_b32

* fixed splitk crush

* add permute switch as a template

* recover v3r1

* clean

* failure with intrawave v2

* fixed

* fixed

* add ckProfiler

* add bfp16 support

* add bf16 example

* fixed int4 to bhalf_t conversion

* format

* fixed int4 to bf16 conversion

* clean

* add instances for mem

* clean

* fixed host tensor size

* fixed

* debug

* fixed

* add pk_i4_t as a struct

* fix

* Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* revert

* Update example/01_gemm/gemm_xdl_bf16_pk_i4_v3.cpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* Update example/01_gemm/gemm_xdl_fp16_pk_i4_v3.cpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* Update example/01_gemm/gemm_xdl_fp16_pk_i4_v3.cpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* Update example/01_gemm/gemm_xdl_fp16_pk_i4_v3.cpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* Update example/01_gemm/gemm_xdl_fp16_pk_i4_v3.cpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* fixed comments

* revert

* clean

* revert

* revert

* fixed

* Update CMakeLists.txt

* Update script/cmake-ck-dev.sh

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* Update include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* Update CMakeLists.txt

Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>

* fixed

* fixed

* fixed

* revert

* revert

* add comments

* format

* fixed assert

* fixed

* Fix I4 define in ckProfiler

* Fixed example_gemm_xdl_bf16_pk_i4_v3 test failed issue

---------

Co-authored-by: Jing Zhang <jizhan@fb.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
Co-authored-by: mtgu0705 <mtgu@amd.com>
This commit is contained in:
Adam Osewski
2025-01-02 04:48:06 +01:00
committed by GitHub
parent 159fa31946
commit 1d8e4ec2ce
37 changed files with 1582 additions and 349 deletions

View File

@@ -65,11 +65,13 @@ bool profile_gemm_universal_impl(int do_verification,
Tensor<ADataType> a_m_k(f_host_tensor_descriptor(M, K, StrideA, ALayout{}));
Tensor<BDataType> b_k_n(f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
Tensor<BDataType> b_k_n_permute(f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
Tensor<CDataType> c_m_n_host_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
Tensor<CDataType> c_m_n_device_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
int total_gemm_needed = a_m_k.GetElementSpaceSizeInBytes() + b_k_n.GetElementSpaceSizeInBytes();
int rotating_count = std::max(
std::size_t total_gemm_needed =
a_m_k.GetElementSpaceSizeInBytes() + b_k_n.GetElementSpaceSizeInBytes();
int rotating_count = std::max(
1,
std::min(n_iter,
static_cast<int>(std::ceil(static_cast<double>(rotating) / total_gemm_needed))));
@@ -86,9 +88,13 @@ bool profile_gemm_universal_impl(int do_verification,
a_m_k.GenerateTensorValue(GeneratorTensor_2<ADataType>{-1, 2});
b_k_n.GenerateTensorValue(GeneratorTensor_2<BDataType>{-1, 2});
break;
default:
case 2:
a_m_k.GenerateTensorValue(GeneratorTensor_3<ADataType>{0.0, 1.0});
b_k_n.GenerateTensorValue(GeneratorTensor_3<BDataType>{-0.5, 0.5});
break;
default:
a_m_k.GenerateTensorValue(GeneratorTensor_3<ADataType>{0.0, 1.0});
b_k_n.GenerateTensorValue(GeneratorTensor_2<BDataType>{-2, 2});
}
using AElementOp = ck::tensor_operation::element_wise::PassThrough;
@@ -100,11 +106,10 @@ bool profile_gemm_universal_impl(int do_verification,
const auto c_element_op = CElementOp{};
DeviceMem a_device_buf(sizeof(ADataType) * a_m_k.mDesc.GetElementSpaceSize());
DeviceMem b_device_buf(sizeof(BDataType) * b_k_n.mDesc.GetElementSpaceSize());
DeviceMem b_device_buf(sizeof(BDataType) * b_k_n_permute.mDesc.GetElementSpaceSize());
DeviceMem c_device_buf(sizeof(CDataType) * c_m_n_device_result.mDesc.GetElementSpaceSize());
a_device_buf.ToDevice(a_m_k.mData.data());
b_device_buf.ToDevice(b_k_n.mData.data());
using DeviceOp = ck::tensor_operation::device::DeviceGemmV2<ALayout,
BLayout,
@@ -153,6 +158,84 @@ bool profile_gemm_universal_impl(int do_verification,
// profile device GEMM instances
for(auto& op_ptr : op_ptrs)
{
const int KPerBlock = op_ptr->GetKPerBlock();
if(op_ptr->GetPermuteB())
{
int K1 = KPerBlock;
int K0 = K / KPerBlock;
// int K0, N, K1
for(int j = 0; j < K0; j++)
{
for(int i = 0; i < N; i++)
{
for(int jj = 0; jj < K1; jj++)
{
b_k_n_permute(j * N * K1 + i * K1 + jj) = b_k_n(i * K + (j * K1 + jj));
}
}
}
if(is_same_v<BDataType, pk_i4_t> && is_same_v<ADataType, half_t>)
{
// vector pk_i4x4 permute
for(int i = 0; i < N; i++)
{
for(int j = 0; j < K; j += 8)
{
int input[8];
for(int k = 0; k < 4; k++)
{
int i4x2 = b_k_n_permute(j + k * 2, i);
input[k * 2 + 0] = (i4x2 >> 4) & 0xf;
input[k * 2 + 1] = (i4x2 >> 0) & 0xf;
}
// permute 01234567->20643175
{
int hi = input[2];
int lo = input[0];
int i4x2 = (hi << 4) | lo;
b_k_n_permute(j + 0, i) = i4x2;
}
{
int hi = input[6];
int lo = input[4];
int i4x2 = (hi << 4) | lo;
b_k_n_permute(j + 2, i) = i4x2;
}
{
int hi = input[3];
int lo = input[1];
int i4x2 = (hi << 4) | lo;
b_k_n_permute(j + 4, i) = i4x2;
}
{
int hi = input[7];
int lo = input[5];
int i4x2 = (hi << 4) | lo;
b_k_n_permute(j + 6, i) = i4x2;
}
}
}
}
}
else
{
b_k_n_permute = b_k_n;
}
b_device_buf.ToDevice(b_k_n_permute.mData.data());
std::vector<int> kbatch_list = {1, 2, 4, 8, 16, 19, 32, 38};
if(KBatch > 0)
@@ -240,7 +323,15 @@ bool profile_gemm_universal_impl(int do_verification,
std::size_t flop = std::size_t(2) * M * N * K;
std::size_t num_btype = sizeof(ADataType) * M * K + sizeof(BDataType) * K * N +
static constexpr index_t BPackedSize = []() {
if constexpr(is_same_v<remove_cvref_t<BDataType>, pk_i4_t>)
return 2;
else
return 1;
}();
std::size_t num_btype = sizeof(ADataType) * M * K +
sizeof(BDataType) * K * N / BPackedSize +
sizeof(CDataType) * M * N;
float tflops = static_cast<float>(flop) / 1.E9 / ave_time;