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@ -4745,7 +4745,7 @@ static void ggml_compute_forward_mul_mat_f16_f32(
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// TODO: do not support transposed src1
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assert(nb10/2 == sizeof(ggml_fp16_t));
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// parallelize by src0 rows using ggml_vec_dot_f32
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// parallelize by src0 rows using ggml_vec_dot_f16
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// total rows in src0
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const int nr = ne01*ne02*ne03;
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@ -4773,7 +4773,7 @@ static void ggml_compute_forward_mul_mat_f16_f32(
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const int i3 = i03;
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ggml_fp16_t * src0_row = (ggml_fp16_t *) ((char *) src0->data + (i01*nb01 + i02*nb02 + i03*nb03));
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ggml_fp16_t * src1_col = wdata + (i13*ne12*ne11 + i12*ne11 + 0)*ne00;
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ggml_fp16_t * src1_col = wdata + ( 0 + i12*ne11 + i13*ne12*ne11)*ne00;
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float * dst_col = (float *) ((char *) dst->data + (i0*nb0 + 0*nb1 + i2*nb2 + i3*nb3));
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@ -7142,7 +7142,9 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
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}
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if (state->node) {
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ggml_compute_forward(&state->params, state->node);
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if (state->params.ith < state->params.nth) {
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ggml_compute_forward(&state->params, state->node);
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}
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state->node = NULL;
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} else {
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break;
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@ -7236,9 +7238,15 @@ void ggml_graph_compute(struct ggml_context * ctx, struct ggml_cgraph * cgraph)
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} break;
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case GGML_OP_MUL_MAT:
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{
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// TODO: use different scheduling for different matrix sizes
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node->n_tasks = n_threads;
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// TODO: use different scheduling for different matrix sizes
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//const int nr0 = ggml_nrows(node->src0);
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//const int nr1 = ggml_nrows(node->src1);
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//node->n_tasks = MIN(n_threads, MAX(1, nr0/128));
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//printf("nr0 = %8d, nr1 = %8d, nr0*nr1 = %8d, n_tasks = %d\n", nr0, nr1, nr0*nr1, node->n_tasks);
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size_t cur = 0;
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// TODO: better way to determine if the matrix is transposed
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@ -7422,7 +7430,7 @@ void ggml_graph_compute(struct ggml_context * ctx, struct ggml_cgraph * cgraph)
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workers[j].params = (struct ggml_compute_params) {
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.type = GGML_TASK_COMPUTE,
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.ith = j + 1,
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.nth = n_threads,
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.nth = node->n_tasks,
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.wsize = cgraph->work ? ggml_nbytes(cgraph->work) : 0,
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.wdata = cgraph->work ? cgraph->work->data : NULL,
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};
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@ -7477,7 +7485,7 @@ void ggml_graph_compute(struct ggml_context * ctx, struct ggml_cgraph * cgraph)
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workers[j].params = (struct ggml_compute_params) {
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.type = GGML_TASK_FINALIZE,
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.ith = j + 1,
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.nth = n_threads,
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.nth = node->n_tasks,
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.wsize = cgraph->work ? ggml_nbytes(cgraph->work) : 0,
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.wdata = cgraph->work ? cgraph->work->data : NULL,
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};
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