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ggml-cuda.cu: Fix use of namespace start macro

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KerfuffleV2 2023-11-18 04:35:02 -07:00
parent e29757e0f7
commit 26c1149026
1 changed files with 6 additions and 6 deletions
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12
ggml-cuda.cu
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@ -6023,7 +6023,7 @@ void ggml_cuda_host_free(void * ptr) {
CUDA_CHECK(cudaFreeHost(ptr)); CUDA_CHECK(cudaFreeHost(ptr));
} }
namespace { START_ANONYMOUS_NAMESPACE
cudaError_t ggml_cuda_cpy_tensor_2d( cudaError_t ggml_cuda_cpy_tensor_2d(
void * dst, const struct ggml_tensor * src, int64_t i3, int64_t i2, int64_t i1_low, int64_t i1_high, cudaStream_t stream) { void * dst, const struct ggml_tensor * src, int64_t i3, int64_t i2, int64_t i1_low, int64_t i1_high, cudaStream_t stream) {
@ -6370,7 +6370,7 @@ inline void ggml_cuda_op_mul_mat_q(
(void) src1_ddf_i; (void) src1_ddf_i;
} }
namespace { START_ANONYMOUS_NAMESPACE
int64_t get_row_rounding(ggml_type type) { int64_t get_row_rounding(ggml_type type) {
int64_t min_compute_capability = INT_MAX; int64_t min_compute_capability = INT_MAX;
@ -6908,7 +6908,7 @@ inline void ggml_cuda_op_clamp(
(void) src1_dd; (void) src1_dd;
} }
namespace { START_ANONYMOUS_NAMESPACE
void ggml_cuda_op_flatten(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const ggml_cuda_op_flatten_t op) { void ggml_cuda_op_flatten(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const ggml_cuda_op_flatten_t op) {
const int64_t nrows0 = ggml_nrows(src0); const int64_t nrows0 = ggml_nrows(src0);
@ -7382,7 +7382,7 @@ bool ggml_cuda_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_te
(ne0 >= 32 && ne1 >= 32 && ne10 >= 32); (ne0 >= 32 && ne1 >= 32 && ne10 >= 32);
} }
namespace { START_ANONYMOUS_NAMESPACE
void ggml_cuda_mul_mat_vec_p021(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst){ void ggml_cuda_mul_mat_vec_p021(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst){
GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1)); GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1));
@ -7890,7 +7890,7 @@ void ggml_cuda_free_data(struct ggml_tensor * tensor) {
delete extra; delete extra;
} }
namespace { START_ANONYMOUS_NAMESPACE
ggml_tensor_extra_gpu * g_temp_tensor_extras = nullptr; ggml_tensor_extra_gpu * g_temp_tensor_extras = nullptr;
size_t g_temp_tensor_extra_index = 0; size_t g_temp_tensor_extra_index = 0;
@ -8206,7 +8206,7 @@ void ggml_cuda_get_device_description(int device, char * description, size_t des
struct ggml_backend_context_cuda { struct ggml_backend_context_cuda {
}; };
namespace { START_ANONYMOUS_NAMESPACE
const char * ggml_backend_cuda_name(ggml_backend_t backend) { const char * ggml_backend_cuda_name(ggml_backend_t backend) {
return GGML_CUDA_NAME; return GGML_CUDA_NAME;