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ggml-cuda.cu: Fix use of namespace start macro
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ggml-cuda.cu
12
ggml-cuda.cu
@ -6023,7 +6023,7 @@ void ggml_cuda_host_free(void * ptr) {
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CUDA_CHECK(cudaFreeHost(ptr));
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}
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namespace {
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START_ANONYMOUS_NAMESPACE
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cudaError_t ggml_cuda_cpy_tensor_2d(
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void * dst, const struct ggml_tensor * src, int64_t i3, int64_t i2, int64_t i1_low, int64_t i1_high, cudaStream_t stream) {
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@ -6370,7 +6370,7 @@ inline void ggml_cuda_op_mul_mat_q(
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(void) src1_ddf_i;
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}
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namespace {
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START_ANONYMOUS_NAMESPACE
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int64_t get_row_rounding(ggml_type type) {
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int64_t min_compute_capability = INT_MAX;
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@ -6908,7 +6908,7 @@ inline void ggml_cuda_op_clamp(
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(void) src1_dd;
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}
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namespace {
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START_ANONYMOUS_NAMESPACE
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void ggml_cuda_op_flatten(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const ggml_cuda_op_flatten_t op) {
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const int64_t nrows0 = ggml_nrows(src0);
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@ -7382,7 +7382,7 @@ bool ggml_cuda_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_te
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(ne0 >= 32 && ne1 >= 32 && ne10 >= 32);
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}
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namespace {
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START_ANONYMOUS_NAMESPACE
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void ggml_cuda_mul_mat_vec_p021(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst){
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GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1));
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@ -7890,7 +7890,7 @@ void ggml_cuda_free_data(struct ggml_tensor * tensor) {
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delete extra;
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}
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namespace {
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START_ANONYMOUS_NAMESPACE
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ggml_tensor_extra_gpu * g_temp_tensor_extras = nullptr;
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size_t g_temp_tensor_extra_index = 0;
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@ -8206,7 +8206,7 @@ void ggml_cuda_get_device_description(int device, char * description, size_t des
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struct ggml_backend_context_cuda {
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};
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namespace {
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START_ANONYMOUS_NAMESPACE
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const char * ggml_backend_cuda_name(ggml_backend_t backend) {
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return GGML_CUDA_NAME;
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