Skip to content

Update bfloat16 conversion property #694

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 21, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion csrc/gpu/aten/core/DeviceInfo.h
Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@ struct DeviceInfo {
uint32_t max_num_sub_groups;
std::vector<size_t> sub_group_sizes;
bool support_fp64;
bool has_bf16_conversion;
bool has_bfloat16_conversions;
bool has_subgroup_matrix_multiply_accumulate;
bool has_subgroup_matrix_multiply_accumulate_tensor_float32;
bool has_subgroup_2d_block_io;
Expand Down
4 changes: 2 additions & 2 deletions csrc/gpu/runtime/Device.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -323,7 +323,7 @@ static void initDeviceProperty(DeviceId device_id) {
device_prop.support_atomic64 = device.has(dpcpp_dev_aspect_atomic64);
device_prop.support_fp64 = device.has(dpcpp_dev_aspect_fp64);
sycl::ext::oneapi::experimental::cl_version version;
device_prop.has_bf16_conversion = device.ext_oneapi_supports_cl_extension(
device_prop.has_bfloat16_conversions = device.ext_oneapi_supports_cl_extension(
"cl_intel_bfloat16_conversions", &version);
device_prop.has_subgroup_matrix_multiply_accumulate =
device.ext_oneapi_supports_cl_extension(
Expand Down Expand Up @@ -369,7 +369,7 @@ static void initDeviceProperty(DeviceId device_id) {
dev_info.max_num_sub_groups = device_prop.max_num_subgroup;
dev_info.sub_group_sizes = device_prop.subgroup_sizes;
dev_info.support_fp64 = device_prop.support_fp64;
dev_info.has_bf16_conversion = device_prop.has_bf16_conversion;
dev_info.has_bfloat16_conversions = device_prop.has_bfloat16_conversions;
dev_info.has_subgroup_matrix_multiply_accumulate =
device_prop.has_subgroup_matrix_multiply_accumulate;
dev_info.has_subgroup_matrix_multiply_accumulate_tensor_float32 =
Expand Down
2 changes: 1 addition & 1 deletion csrc/gpu/runtime/DeviceProp.h
Original file line number Diff line number Diff line change
Expand Up @@ -143,7 +143,7 @@ struct DeviceProp {

bool support_fp64;
bool support_atomic64;
bool has_bf16_conversion;
bool has_bfloat16_conversions;
bool has_subgroup_matrix_multiply_accumulate;
bool has_subgroup_matrix_multiply_accumulate_tensor_float32;
bool has_subgroup_2d_block_io;
Expand Down
4 changes: 2 additions & 2 deletions intel_extension_for_pytorch/csrc/xpu/Module.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -577,7 +577,7 @@ static void register_xpu_device_info(PyObject* module) {
.def_readonly("max_num_sub_groups", &DeviceInfo::max_num_sub_groups)
.def_readonly("sub_group_sizes", &DeviceInfo::sub_group_sizes)
.def_readonly("has_fp64", &DeviceInfo::support_fp64)
.def_readonly("has_bf16_conversion", &DeviceInfo::has_bf16_conversion)
.def_readonly("has_bfloat16_conversions", &DeviceInfo::has_bfloat16_conversions)
.def_readonly(
"has_subgroup_matrix_multiply_accumulate",
&DeviceInfo::has_subgroup_matrix_multiply_accumulate)
Expand All @@ -599,7 +599,7 @@ static void register_xpu_device_info(PyObject* module) {
<< "MB, max_compute_units=" << info.max_compute_units
<< ", gpu_eu_count=" << info.gpu_eu_count
<< ", device_arch=" << info.device_arch
<< ", has_bf16_conversion=" << info.has_bf16_conversion
<< ", has_bfloat16_conversions=" << info.has_bfloat16_conversions
<< ", has_subgroup_matrix_multiply_accumulate="
<< info.has_subgroup_matrix_multiply_accumulate
<< ", has_subgroup_matrix_multiply_accumulate_tensor_float32="
Expand Down
Loading