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llama.cpp
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enhance argsort for UT (#17573) 

Co-authored-by: Neo Zhang <zhang.jianyu@outlook.com>
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Neo Zhang Jianyu 2025-12-02 08:56:46 +08:00 committed by GitHub
parent 746f9ee889
commit 98bd9ab1e4
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1 changed files with 7 additions and 1 deletions
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8
ggml/src/ggml-sycl/ggml-sycl.cpp
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@ -1787,6 +1787,7 @@ static void argsort_f32_i32_sycl(const float *x, int *dst, const int ncols,
const sycl::range<3> block_dims(1, 1, nth);
const sycl::range<3> block_nums(1, nrows, 1);
const size_t shared_mem = ncols_pad * sizeof(int);
GGML_ASSERT(shared_mem<=ggml_sycl_info().devices[device].smpbo);
if (order == GGML_SORT_ORDER_ASC) {
stream->submit([&](sycl::handler &cgh) {
@ -4348,6 +4349,9 @@ static ggml_backend_buffer_t ggml_backend_sycl_device_buffer_from_host_ptr(ggml_
}
static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const ggml_tensor * op) {
ggml_backend_sycl_device_context *sycl_ctx =
(ggml_backend_sycl_device_context *)dev->context;
int device = sycl_ctx->device;
switch (op->op) {
case GGML_OP_CONV_TRANSPOSE_1D:
{
@ -4601,8 +4605,10 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
case GGML_OP_SUM:
case GGML_OP_SUM_ROWS:
case GGML_OP_MEAN:
case GGML_OP_ARGSORT:
return ggml_is_contiguous(op->src[0]);
case GGML_OP_ARGSORT:
return op->src[0]->ne[0] * sizeof(int) <=
ggml_sycl_info().devices[device].smpbo;
case GGML_OP_POOL_2D:
case GGML_OP_ACC:
return true;