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ggml-cuda : increase max graph size (#4084)

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slaren 2023-11-15 13:58:13 +01:00 committed by GitHub
parent 6bb4908a17
commit 1cf2850d52
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1 changed files with 7 additions and 5 deletions
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ggml-cuda.cu
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@ -88,6 +88,8 @@
#define CC_OFFSET_AMD 1000000 #define CC_OFFSET_AMD 1000000
#define CC_RDNA2 (CC_OFFSET_AMD + 1030) #define CC_RDNA2 (CC_OFFSET_AMD + 1030)
#define GGML_CUDA_MAX_NODES 8192
// define this if you want to always fallback to MMQ kernels and not use cuBLAS for matrix multiplication // define this if you want to always fallback to MMQ kernels and not use cuBLAS for matrix multiplication
// on modern hardware, using cuBLAS is recommended as it utilizes F16 tensor cores which are very performant // on modern hardware, using cuBLAS is recommended as it utilizes F16 tensor cores which are very performant
// for large computational tasks. the drawback is that this requires some extra amount of VRAM: // for large computational tasks. the drawback is that this requires some extra amount of VRAM:
@ -7727,7 +7729,7 @@ static void ggml_cuda_alibi(const ggml_tensor * src0, const ggml_tensor * src1,
ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_alibi); ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_alibi);
} }
void ggml_cuda_im2col(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { static void ggml_cuda_im2col(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_im2col); ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_im2col);
} }
@ -7842,11 +7844,11 @@ static size_t g_temp_tensor_extra_index = 0;
static ggml_tensor_extra_gpu * ggml_cuda_alloc_temp_tensor_extra() { static ggml_tensor_extra_gpu * ggml_cuda_alloc_temp_tensor_extra() {
if (g_temp_tensor_extras == nullptr) { if (g_temp_tensor_extras == nullptr) {
g_temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_DEFAULT_GRAPH_SIZE]; g_temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_CUDA_MAX_NODES];
} }
size_t alloc_index = g_temp_tensor_extra_index; size_t alloc_index = g_temp_tensor_extra_index;
g_temp_tensor_extra_index = (g_temp_tensor_extra_index + 1) % GGML_DEFAULT_GRAPH_SIZE; g_temp_tensor_extra_index = (g_temp_tensor_extra_index + 1) % GGML_CUDA_MAX_NODES;
ggml_tensor_extra_gpu * extra = &g_temp_tensor_extras[alloc_index]; ggml_tensor_extra_gpu * extra = &g_temp_tensor_extras[alloc_index];
memset(extra, 0, sizeof(*extra)); memset(extra, 0, sizeof(*extra));
@ -8173,11 +8175,11 @@ struct ggml_backend_buffer_context_cuda {
ggml_tensor_extra_gpu * ggml_cuda_alloc_temp_tensor_extra() { ggml_tensor_extra_gpu * ggml_cuda_alloc_temp_tensor_extra() {
if (temp_tensor_extras == nullptr) { if (temp_tensor_extras == nullptr) {
temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_DEFAULT_GRAPH_SIZE]; temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_CUDA_MAX_NODES];
} }
size_t alloc_index = temp_tensor_extra_index; size_t alloc_index = temp_tensor_extra_index;
temp_tensor_extra_index = (temp_tensor_extra_index + 1) % GGML_DEFAULT_GRAPH_SIZE; temp_tensor_extra_index = (temp_tensor_extra_index + 1) % GGML_CUDA_MAX_NODES;
ggml_tensor_extra_gpu * extra = &temp_tensor_extras[alloc_index]; ggml_tensor_extra_gpu * extra = &temp_tensor_extras[alloc_index];
memset(extra, 0, sizeof(*extra)); memset(extra, 0, sizeof(*extra));