ExternalVendorCode/whisper.cpp
1
0
Fork 0
mirror of https://github.com/ggerganov/whisper.cpp.git synced 2024-12-19 20:57:52 +00:00
Code Issues Actions 3 Packages Projects Releases Wiki Activity

vulkan: get the first command buffer submitted sooner (llama/10499)

Browse Source 
This is an incremental improvement over #9118 to get work to the GPU a bit
sooner. The first part is to start with a smaller number of nodes before
the first submit, and ramp it up to the current 100 nodes/submit. The
second part is to reduce the dryrun overhead for all the nodes that just
need to request descriptor space.

With these changes I get around 1-2% speedup on RTX 4070 combined with my
old Haswell-era CPU.
This commit is contained in:
Jeff Bolz 2024-11-29 00:18:02 -06:00 committed by Georgi Gerganov
parent 276b08d8f0
commit a753a82462
1 changed files with 56 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

60
ggml/src/ggml-vulkan/ggml-vulkan.cpp
View File

@ -5672,6 +5672,48 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
} else {
compute_ctx = ctx->compute_ctx.lock();
}
} else {
switch (node->op) {
case GGML_OP_REPEAT:
case GGML_OP_ACC:
case GGML_OP_GET_ROWS:
case GGML_OP_ADD:
case GGML_OP_MUL:
case GGML_OP_DIV:
case GGML_OP_CONCAT:
case GGML_OP_UPSCALE:
case GGML_OP_SCALE:
case GGML_OP_SQR:
case GGML_OP_SIN:
case GGML_OP_COS:
case GGML_OP_CLAMP:
case GGML_OP_PAD:
case GGML_OP_CPY:
case GGML_OP_CONT:
case GGML_OP_DUP:
case GGML_OP_NORM:
case GGML_OP_GROUP_NORM:
case GGML_OP_RMS_NORM:
case GGML_OP_UNARY:
case GGML_OP_DIAG_MASK_INF:
case GGML_OP_SOFT_MAX:
case GGML_OP_ROPE:
case GGML_OP_ARGSORT:
case GGML_OP_SUM_ROWS:
case GGML_OP_IM2COL:
case GGML_OP_TIMESTEP_EMBEDDING:
case GGML_OP_POOL_2D:
case GGML_OP_LEAKY_RELU:
{
// These operations all go through ggml_vk_op_f32, so short-circuit and
// do the only thing needed for the dryrun.
vk_pipeline pipeline = ggml_vk_op_get_pipeline(ctx, src0, src1, src2, node, node->op);
ggml_pipeline_request_descriptor_sets(ctx->device, pipeline, 1);
return false;
}
default:
break;
}
}
switch (node->op) {
@ -6401,16 +6443,17 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
bool first_node_in_batch = true; // true if next node will be first node in a batch
int submit_node_idx = 0; // index to first node in a batch
// submit work every submit_count node to overlap CPU cmdbuffer generation with GPU execution
constexpr int submit_count = 100;
// Submit work every nodes_per_submit nodes to overlap CPU cmdbuffer generation with GPU execution.
// Start with a smaller count to get work submitted right away, and increase it after each submit.
int nodes_per_submit = 20;
int submitted_nodes = 0;
int submit_count = 0;
for (int i = 0; i < cgraph->n_nodes; i++) {
if (first_node_in_batch) {
submit_node_idx = i;
}
bool submit = (submitted_nodes >= submit_count) || (i == last_node);
bool submit = (submitted_nodes >= nodes_per_submit) || (i == last_node);
bool enqueued = ggml_vk_build_graph(ctx, cgraph->nodes[i], i, cgraph->nodes[submit_node_idx], submit_node_idx, false, i == last_node, submit);
@ -6427,6 +6470,15 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
if (submit) {
first_node_in_batch = true;
submitted_nodes = 0;
switch (submit_count) {
case 0:
nodes_per_submit = 50;
break;
default:
nodes_per_submit = 100;
break;
}
submit_count++;
}
}