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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-24 02:14:35 +00:00
ggml : disable GGML_TASK_INIT and GGML_TASK_FINALIZE by default (#1995)
Will not be scheduled unless explicitly enabled.
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b1ca8f36a9
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ggml.c
61
ggml.c
@ -3846,6 +3846,40 @@ static_assert(GGML_OP_COUNT == 64, "GGML_OP_COUNT != 64");
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static_assert(sizeof(struct ggml_object)%GGML_MEM_ALIGN == 0, "ggml_object size must be a multiple of GGML_MEM_ALIGN");
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static_assert(sizeof(struct ggml_tensor)%GGML_MEM_ALIGN == 0, "ggml_tensor size must be a multiple of GGML_MEM_ALIGN");
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// WARN:
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// Mis-confguration can lead to problem that's hard to reason about:
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// * At best it crash or talks nosense.
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// * At worst it talks slightly difference but hard to perceive.
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//
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// An op has to enable INIT or FINALIZE when any of it's branch needs that pass.
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// Take care about compile options (e.g., GGML_USE_xxx).
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static bool GGML_OP_HAS_INIT [GGML_OP_COUNT] = { 0 };
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static bool GGML_OP_HAS_FINALIZE[GGML_OP_COUNT] = { 0 };
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static void ggml_setup_op_has_task_pass(void) {
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{ // INIT
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bool * I = GGML_OP_HAS_INIT;
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I[GGML_OP_ACC ] = true;
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I[GGML_OP_MUL_MAT ] = true;
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I[GGML_OP_OUT_PROD ] = true;
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I[GGML_OP_SET ] = true;
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I[GGML_OP_GET_ROWS_BACK ] = true;
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I[GGML_OP_DIAG_MASK_INF ] = true;
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I[GGML_OP_DIAG_MASK_ZERO ] = true;
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I[GGML_OP_CONV_1D_S1_PH ] = true;
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I[GGML_OP_CONV_1D_S2_PH ] = true;
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I[GGML_OP_CONV_2D_SK_P0 ] = true;
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I[GGML_OP_FLASH_ATTN_BACK ] = true;
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I[GGML_OP_CROSS_ENTROPY_LOSS ] = true;
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}
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{ // FINALIZE
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bool * F = GGML_OP_HAS_FINALIZE;
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F[GGML_OP_CROSS_ENTROPY_LOSS ] = true;
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}
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}
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//
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// ggml context
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//
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@ -4267,6 +4301,8 @@ struct ggml_context * ggml_init(struct ggml_init_params params) {
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ggml_cl_init();
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#endif
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ggml_setup_op_has_task_pass();
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is_first_call = false;
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}
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@ -16791,9 +16827,11 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
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if (node_n != -1) {
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/* FINALIZE */
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struct ggml_tensor * node = state->shared->cgraph->nodes[node_n];
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params.nth = node->n_tasks;
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ggml_compute_forward(¶ms, node);
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ggml_graph_compute_perf_stats_node(node, state->shared);
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if (GGML_OP_HAS_FINALIZE[node->op]) {
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params.nth = node->n_tasks;
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ggml_compute_forward(¶ms, node);
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ggml_graph_compute_perf_stats_node(node, state->shared);
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}
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}
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// distribute new work or execute it direct if 1T
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@ -16805,10 +16843,13 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
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state->shared->perf_node_start_cycles = ggml_perf_cycles();
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state->shared->perf_node_start_time_us = ggml_perf_time_us();
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params.nth = node->n_tasks;
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/* INIT */
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params.type = GGML_TASK_INIT;
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params.nth = node->n_tasks;
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ggml_compute_forward(¶ms, node);
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if (GGML_OP_HAS_INIT[node->op]) {
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params.type = GGML_TASK_INIT;
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ggml_compute_forward(¶ms, node);
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}
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if (node->n_tasks == 1) {
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// TODO: maybe push node_n to the atomic but if other threads see n_tasks is 1,
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@ -16816,9 +16857,11 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
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params.type = GGML_TASK_COMPUTE;
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ggml_compute_forward(¶ms, node);
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params.type = GGML_TASK_FINALIZE;
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ggml_compute_forward(¶ms, node);
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ggml_graph_compute_perf_stats_node(node, state->shared);
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if (GGML_OP_HAS_FINALIZE[node->op]) {
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params.type = GGML_TASK_FINALIZE;
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ggml_compute_forward(¶ms, node);
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ggml_graph_compute_perf_stats_node(node, state->shared);
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}
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} else {
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break;
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}
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