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ggml : reuse ggml_get_n_tasks() in ggml_graph_plan() (#4308)
* ggml : fix soft max out-of-bounds access ggml-ci * ggml : reuse ggml_get_n_tasks() in ggml_graph_plan() ggml-ci
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ggml.c
23
ggml.c
@ -15879,18 +15879,16 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) {
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// thread scheduling for the different operations + work buffer size estimation
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for (int i = 0; i < cgraph->n_nodes; i++) {
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int n_tasks = 1;
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struct ggml_tensor * node = cgraph->nodes[i];
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const int n_tasks = ggml_get_n_tasks(node, n_threads);
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size_t cur = 0;
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switch (node->op) {
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case GGML_OP_CPY:
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case GGML_OP_DUP:
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{
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n_tasks = n_threads;
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if (ggml_is_quantized(node->type)) {
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cur = ggml_type_size(GGML_TYPE_F32) * node->ne[0] * n_tasks;
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}
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@ -15898,16 +15896,12 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) {
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case GGML_OP_ADD:
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case GGML_OP_ADD1:
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{
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n_tasks = n_threads;
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if (ggml_is_quantized(node->src[0]->type)) {
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cur = ggml_type_size(GGML_TYPE_F32) * node->src[0]->ne[0] * n_tasks;
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}
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} break;
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case GGML_OP_ACC:
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{
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n_tasks = n_threads;
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if (ggml_is_quantized(node->src[0]->type)) {
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cur = ggml_type_size(GGML_TYPE_F32) * node->src[1]->ne[0] * n_tasks;
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}
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@ -15935,16 +15929,12 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) {
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} break;
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case GGML_OP_OUT_PROD:
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{
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n_tasks = n_threads;
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if (ggml_is_quantized(node->src[0]->type)) {
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cur = ggml_type_size(GGML_TYPE_F32) * node->src[0]->ne[0] * n_tasks;
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}
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} break;
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case GGML_OP_SOFT_MAX:
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{
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n_tasks = MIN(MIN(4, n_threads), ggml_nrows(node->src[0]));
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cur = ggml_type_size(GGML_TYPE_F32) * node->ne[0] * n_tasks;
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} break;
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case GGML_OP_CONV_TRANSPOSE_1D:
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@ -15974,7 +15964,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) {
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} break;
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case GGML_OP_IM2COL:
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{
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n_tasks = n_threads;
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} break;
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case GGML_OP_CONV_TRANSPOSE_2D:
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{
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@ -15992,8 +15981,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) {
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} break;
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case GGML_OP_FLASH_ATTN:
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{
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n_tasks = n_threads;
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const int64_t ne11 = ggml_up(node->src[1]->ne[1], GGML_SOFT_MAX_UNROLL);
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if (node->src[1]->type == GGML_TYPE_F32) {
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@ -16006,8 +15993,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) {
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} break;
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case GGML_OP_FLASH_FF:
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{
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n_tasks = n_threads;
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if (node->src[1]->type == GGML_TYPE_F32) {
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cur = sizeof(float)*node->src[1]->ne[1]*n_tasks; // TODO: this can become (n_tasks-1)
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cur += sizeof(float)*node->src[1]->ne[1]*n_tasks; // this is overestimated by x2
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@ -16018,8 +16003,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) {
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} break;
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case GGML_OP_FLASH_ATTN_BACK:
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{
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n_tasks = n_threads;
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const int64_t D = node->src[0]->ne[0];
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const int64_t ne11 = ggml_up(node->src[1]->ne[1], GGML_SOFT_MAX_UNROLL);
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const int64_t mxDn = MAX(D, ne11) * 2; // *2 because of S and SM in ggml_compute_forward_flash_attn_back
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@ -16034,8 +16017,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) {
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case GGML_OP_CROSS_ENTROPY_LOSS:
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{
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n_tasks = n_threads;
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cur = ggml_type_size(node->type)*(n_tasks + node->src[0]->ne[0]*n_tasks);
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} break;
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case GGML_OP_COUNT:
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