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CUDA: no -sm row for very small matrices (#10185)

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Johannes Gäßler 2024-11-14 13:00:15 +01:00 committed by GitHub
parent 2a82891a85
commit 4a8ccb37ad
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1 changed files with 11 additions and 0 deletions
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ggml/src/ggml-cuda.cu
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@ -2978,6 +2978,17 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
{ {
struct ggml_tensor * a = op->src[0]; struct ggml_tensor * a = op->src[0];
struct ggml_tensor * b = op->src[1]; struct ggml_tensor * b = op->src[1];
// for small weight matrices the active device can end up without any rows, don't use row split in those cases
// this avoids some edge cases (and the performance would not be good anyways)
if (a->buffer && ggml_backend_buft_is_cuda_split(a->buffer->buft)) {
ggml_backend_cuda_split_buffer_type_context * buft_ctx = (ggml_backend_cuda_split_buffer_type_context *) a->buffer->buft->context;
int64_t row_low;
int64_t row_high;
get_row_split(&row_low, &row_high, a, buft_ctx->tensor_split, dev_ctx->device);
if (row_low == row_high) {
return false;
}
}
if (b->type == GGML_TYPE_F16 && a->type != GGML_TYPE_F16) { if (b->type == GGML_TYPE_F16 && a->type != GGML_TYPE_F16) {
return false; return false;
} }