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sycl : Fixes to broken builds and test-backend-ops (llama/10257)

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* Fixes broken build for the SYCL CUDA backend caused by non-explicit gemm call in outprod (merged in with RWKV6 in
Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration #10133)

* Marks permuted MUL_MAT as unsupported to be able to run test-backend-ops

* Fixes asserts in norm to fix debug builds.
This commit is contained in:
Alberto Cabrera Pérez 2024-11-13 09:40:57 +00:00 committed by Georgi Gerganov
parent 21b01a21b6
commit fa2ebd336e
3 changed files with 9 additions and 4 deletions
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4
ggml/src/ggml-sycl.cpp
View File

@ -4350,6 +4350,10 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
if (op->op == GGML_OP_MUL_MAT) {
a = op->src[0];
b = op->src[1];
if (ggml_is_permuted(a) || ggml_is_permuted(b)) {
// TODO: fix like https://github.com/ggerganov/llama.cpp/pull/10021
return false;
}
} else {
a = op->src[2];
b = op->src[1];

6
ggml/src/ggml-sycl/norm.cpp
View File

@ -8,7 +8,6 @@ static void norm_f32(const float* x, float* dst, const int ncols, const float ep
const int nthreads = item_ct1.get_local_range(2);
const int nwarps = nthreads / WARP_SIZE;
assert(nwarps % WARP_SIZE == 0);
sycl::float2 mean_var = sycl::float2(0.f, 0.f);
for (int col = tid; col < ncols; col += block_size) {
@ -55,7 +54,6 @@ static void group_norm_f32(const float* x, float* dst, const int group_size, con
int end = start + group_size;
const int nthreads = item_ct1.get_local_range(2);
const int nwarps = nthreads / WARP_SIZE;
assert(nwarps % WARP_SIZE == 0);
start += item_ct1.get_local_id(2);
int nreduce = nwarps / WARP_SIZE;
@ -144,7 +142,6 @@ static void rms_norm_f32(const float* x, float* dst, const int ncols, const floa
const int tid = item_ct1.get_local_id(2);
const int nthreads = item_ct1.get_local_range(2);
const int nwarps = nthreads / WARP_SIZE;
assert(nwarps % WARP_SIZE == 0);
float tmp = 0.0f; // partial sum for thread in warp
for (int col = tid; col < ncols; col += block_size) {
@ -202,6 +199,7 @@ static void norm_f32_sycl(const float* x, float* dst, const int ncols,
}
else {
const int work_group_size = ggml_sycl_info().max_work_group_sizes[device];
assert(work_group_size % (WARP_SIZE * WARP_SIZE) == 0);
const sycl::range<3> block_dims(1, 1, work_group_size);
/*
DPCT1049:17: The work-group size passed to the SYCL kernel may exceed
@ -244,6 +242,7 @@ static void group_norm_f32_sycl(const float* x, float* dst,
}
else {
const int work_group_size = ggml_sycl_info().max_work_group_sizes[device];
assert(work_group_size % (WARP_SIZE * WARP_SIZE) == 0);
const sycl::range<3> block_dims(1, 1, work_group_size);
/*
DPCT1049:18: The work-group size passed to the SYCL kernel may exceed
@ -290,6 +289,7 @@ static void rms_norm_f32_sycl(const float* x, float* dst, const int ncols,
}
else {
const int work_group_size = ggml_sycl_info().max_work_group_sizes[device];
assert(work_group_size % (WARP_SIZE * WARP_SIZE) == 0);
const sycl::range<3> block_dims(1, 1, work_group_size);
/*
DPCT1049:19: The work-group size passed to the SYCL kernel may exceed

3
ggml/src/ggml-sycl/outprod.cpp
View File

@ -1,4 +1,5 @@
#include <sycl/sycl.hpp>
#include <oneapi/mkl.hpp>
#include "outprod.hpp"
@ -39,7 +40,7 @@ void ggml_sycl_op_out_prod(ggml_backend_sycl_context& ctx, const ggml_tensor* sr
try {
// Perform matrix multiplication using oneMKL GEMM
oneapi::mkl::blas::gemm(*stream,
oneapi::mkl::blas::column_major::gemm(*stream,
oneapi::mkl::transpose::nontrans, src1_op,
ne0, ne1, ne01,
alpha,