diff options
Diffstat (limited to 'ggml.c')
| -rw-r--r-- | ggml.c | 21 |
1 files changed, 15 insertions, 6 deletions
@@ -8245,8 +8245,6 @@ static void ggml_compute_forward_mul_mat_f16_f32( ggml_fp16_t * d_X = ggml_cuda_pool_malloc(sizeof(float) * x_ne, &x_size); ggml_fp16_t * d_Y = ggml_cuda_pool_malloc(sizeof(float) * y_ne, &y_size); float * d_D = ggml_cuda_pool_malloc(sizeof(float) * d_ne, &d_size); -#else - float * const wdata = params->wdata; #endif for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { @@ -8263,8 +8261,11 @@ static void ggml_compute_forward_mul_mat_f16_f32( wdata[id++] = GGML_FP32_TO_FP16(*(float *) ((char *) src1->data + i03*nb13 + i02*nb12 + i01*nb11 + i00*nb10)); } } + + assert(id*sizeof(ggml_fp16_t) <= params->wsize); } #else + float * const wdata = params->wdata; { size_t id = 0; for (int64_t i01 = 0; i01 < ne01; ++i01) { @@ -8272,6 +8273,8 @@ static void ggml_compute_forward_mul_mat_f16_f32( wdata[id++] = GGML_FP16_TO_FP32(*(ggml_fp16_t *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00)); } } + + assert(id*sizeof(float) <= params->wsize); } #endif @@ -8537,7 +8540,10 @@ static void ggml_compute_forward_mul_mat_q_f32( dequantize_row_q((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01, wdata + id, ne00); id += ne00; } + + assert(id*sizeof(float) <= params->wsize); } + const float * x = wdata; #endif @@ -11571,10 +11577,13 @@ void ggml_graph_compute(struct ggml_context * ctx, struct ggml_cgraph * cgraph) if (ggml_compute_forward_mul_mat_use_blas(node->src0, node->src1, node)) { node->n_tasks = 1; // TODO: this actually is doing nothing // the threads are still spinning - cur = GGML_TYPE_SIZE[GGML_TYPE_F32]*MAX(ggml_nelements(node->src1), ggml_nelements(node->src0)); - //printf("src0: ne0 = %d, ne1 = %d, ne = %d\n", node->src0->ne[0], node->src0->ne[1], node->src0->ne[0]*node->src0->ne[1]); - //printf("src1: ne0 = %d, ne1 = %d, ne = %d\n", node->src1->ne[0], node->src1->ne[1], node->src1->ne[0]*node->src1->ne[1]); - //printf("cur = %zu\n", cur); +#if defined(GGML_USE_CUBLAS) + // with cuBLAS, we need memory for the full 3D / 4D data of src1 + cur = GGML_TYPE_SIZE[GGML_TYPE_F16]*ggml_nelements(node->src1); +#else + // here we need memory just for single 2D matrix from src0 + cur = GGML_TYPE_SIZE[GGML_TYPE_F32]*(node->src0->ne[0]*node->src0->ne[1]); +#endif } else { cur = GGML_TYPE_SIZE[GGML_TYPE_F16]*ggml_nelements(node->src1); } |