Skip to content
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.

Sign up for GitHub

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

Providing reduce-scatter test support #390

Merged
merged 5 commits into from
Nov 28, 2024
Merged

Providing reduce-scatter test support #390

Show file tree
Hide file tree
Changes from 4 commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
bdcd59b
adding reducescatter support at executor_test.py
caiomcbr Nov 21, 2024
13b7773
Merge branch 'main' of https://github.com/microsoft/mscclpp into caio…
caiomcbr Nov 22, 2024
2a1eda9
Merge branch 'main' of https://github.com/microsoft/mscclpp into caio…
caiomcbr Nov 22, 2024
2e958d9
calling is_nvls_supported function
caiomcbr Nov 22, 2024
3777481
Merge branch 'main' of https://github.com/microsoft/mscclpp into caio…
caiomcbr Nov 28, 2024
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
6 changes: 4 additions & 2 deletions python/test/executor_test.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -74,6 +74,8 @@ def bench_correctness(
fill_data_kernel_name = "fill_data_%s" % dtype_str
if "allgather" in execution_plan_name:
coll = "all_gather"
elif "reducescatter" in execution_plan_name:
coll = "reduce_scatter"
else:
coll = "all_reduce"
test_data_kernel_name = "test_data_%s_%s" % (coll, dtype_str)
Expand All @@ -96,7 +98,7 @@ def bench_correctness(
fill_data_kernel.launch_kernel(fill_data_params, nblocks, nthreads, 0, stream)
func(stream)
test_data_params = (
pack(result_buf, test_buf) + struct.pack("Q", input_buf.nbytes // type_size) + pack(num_ranks, i)
pack(result_buf, test_buf) + struct.pack("Q", input_buf.nbytes // type_size) + pack(num_ranks, rank, i)
)
test_data_kernel.launch_kernel(test_data_params, nblocks, nthreads, 0, stream)
graph = stream.end_capture()
Expand Down Expand Up @@ -128,7 +130,7 @@ def dtype_to_mscclpp_dtype(dtype):


def allocate_buffer(nelems, dtype):
if is_nvls_supported:
if is_nvls_supported():
buffer_raw = alloc_shared_physical_cuda(nelems * cp.dtype(dtype).itemsize)
buffer_ptr = cp.cuda.MemoryPointer(
cp.cuda.UnownedMemory(buffer_raw.get_ptr(), buffer_raw.size(), buffer_raw), 0
Expand Down
30 changes: 28 additions & 2 deletions python/test/executor_test_verifier.cu
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ FILL_DATA(int32, int)

#define TEST_DATA_ALL_GATHER(FuncNameType, DataType) \
extern "C" __global__ void __launch_bounds__(1024, 1) test_data_all_gather_##FuncNameType( \
DataType* result_buf, DataType* test_buf, size_t num_elems, int num_ranks, int seq) { \
DataType* result_buf, DataType* test_buf, size_t num_elems, int num_ranks, int my_rank, int seq) { \
caiomcbr marked this conversation as resolved.
Show resolved Hide resolved
for (int rank = 0; rank < num_ranks; rank++) { \
size_t rank_offset = rank * num_elems; \
unsigned int seed = (unsigned int)(blockIdx.x * blockDim.x + threadIdx.x + rank + seq); \
Expand All @@ -54,7 +54,7 @@ TEST_DATA_ALL_GATHER(int32, int)

#define TEST_DATA_ALL_REDUCE(FuncNameType, DataType) \
extern "C" __global__ void __launch_bounds__(1024, 1) test_data_all_reduce_##FuncNameType( \
DataType* result_buf, DataType* test_buf, size_t num_elems, int num_ranks, int seq) { \
DataType* result_buf, DataType* test_buf, size_t num_elems, int num_ranks, int my_rank, int seq) { \
for (int rank = 0; rank < num_ranks; rank++) { \
unsigned int seed = (unsigned int)(blockIdx.x * blockDim.x + threadIdx.x + rank + seq); \
for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < num_elems; i += blockDim.x * gridDim.x) { \
Expand All @@ -73,3 +73,29 @@ TEST_DATA_ALL_GATHER(int32, int)
TEST_DATA_ALL_REDUCE(float16, __half)
TEST_DATA_ALL_REDUCE(float32, float)
TEST_DATA_ALL_REDUCE(int32, int)

#define TEST_DATA_REDUCE_SCATTER(FuncNameType, DataType) \
extern "C" __global__ void __launch_bounds__(1024, 1) test_data_reduce_scatter_##FuncNameType( \
DataType* result_buf, DataType* test_buf, size_t num_elems, int num_ranks, int my_rank, int seq) { \
int nem_elems_per_rank = num_elems / num_ranks; \
int offset = nem_elems_per_rank * my_rank; \
for (int rank = 0; rank < num_ranks; rank++) { \
unsigned int seed = (unsigned int)(blockIdx.x * blockDim.x + threadIdx.x + rank + seq); \
for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < num_elems; i += blockDim.x * gridDim.x) { \
if (rank == 0) { \
test_buf[i] = 0; \
} \
seed = ranqd1(seed); \
test_buf[i] += DataType(seed % blockDim.x) / DataType(blockDim.x); \
} \
} \
for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < num_elems; i += blockDim.x * gridDim.x) { \
if (i >= offset && i < offset + nem_elems_per_rank) { \
assert(abs(float(result_buf[i]) - float(test_buf[i])) < 1e-3 * num_ranks); \
} \
} \
}

TEST_DATA_REDUCE_SCATTER(float16, __half)
TEST_DATA_REDUCE_SCATTER(float32, float)
TEST_DATA_REDUCE_SCATTER(int32, int)
Loading