Keeping the ggml_metal_kernel
structure
This commit is contained in:
parent
e258f2943a
commit
1b592aa897
1 changed files with 134 additions and 127 deletions
261
ggml-metal.m
261
ggml-metal.m
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@ -24,6 +24,10 @@
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#define UNUSED(x) (void)(x)
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struct ggml_metal_kernel {
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id<MTLComputePipelineState> pipeline;
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};
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enum ggml_metal_kernel_type {
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GGML_METAL_KERNEL_TYPE_ADD,
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GGML_METAL_KERNEL_TYPE_ADD_ROW,
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@ -152,11 +156,10 @@ struct ggml_metal_context {
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id<MTLDevice> device;
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id<MTLCommandQueue> queue;
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id<MTLLibrary> library;
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dispatch_queue_t d_queue;
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id<MTLComputePipelineState> pipelines[GGML_METAL_KERNEL_TYPE_COUNT];
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struct ggml_metal_kernel kernels[GGML_METAL_KERNEL_TYPE_COUNT];
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bool support_simdgroup_reduction;
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bool support_simdgroup_mm;
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@ -239,6 +242,8 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
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ctx->queue = [ctx->device newCommandQueue];
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ctx->d_queue = dispatch_queue_create("ggml-metal", DISPATCH_QUEUE_CONCURRENT);
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id<MTLLibrary> metal_library;
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// load library
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{
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NSBundle * bundle = nil;
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@ -253,7 +258,7 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
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// pre-compiled library found
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NSURL * libURL = [NSURL fileURLWithPath:libPath];
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GGML_METAL_LOG_INFO("%s: loading '%s'\n", __func__, [libPath UTF8String]);
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ctx->library = [ctx->device newLibraryWithURL:libURL error:&error];
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metal_library = [ctx->device newLibraryWithURL:libURL error:&error];
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if (error) {
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GGML_METAL_LOG_ERROR("%s: error: %s\n", __func__, [[error description] UTF8String]);
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return NULL;
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@ -295,7 +300,7 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
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//[options setFastMathEnabled:false];
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ctx->library = [ctx->device newLibraryWithSource:src options:options error:&error];
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metal_library = [ctx->device newLibraryWithSource:src options:options error:&error];
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if (error) {
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GGML_METAL_LOG_ERROR("%s: error: %s\n", __func__, [[error description] UTF8String]);
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return NULL;
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@ -361,7 +366,7 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
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NSError * error = nil;
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for (int i = 0; i < GGML_METAL_KERNEL_TYPE_COUNT; ++i) {
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ctx->pipelines[i] = nil;
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ctx->kernels[i].pipeline = nil;
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}
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/*
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@ -371,11 +376,13 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
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*/
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#define GGML_METAL_ADD_KERNEL(e, name, supported) \
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if (supported) { \
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id<MTLFunction> metal_function = [ctx->library newFunctionWithName:@"kernel_"#name]; \
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ctx->pipelines[e] = [ctx->device newComputePipelineStateWithFunction:metal_function error:&error]; \
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struct ggml_metal_kernel * kernel = &ctx->kernels[e]; \
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id<MTLFunction> metal_function = [metal_library newFunctionWithName:@"kernel_"#name]; \
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kernel->pipeline = [ctx->device newComputePipelineStateWithFunction:metal_function error:&error]; \
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[metal_function release]; \
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if (error) { \
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GGML_METAL_LOG_ERROR("%s: error: load pipeline error: %s\n", __func__, [[error description] UTF8String]); \
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[metal_library release]; \
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return NULL; \
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} \
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} else { \
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@ -504,6 +511,7 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_SUM_ROWS, sum_rows, true);
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}
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[metal_library release];
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return ctx;
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}
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@ -511,10 +519,9 @@ static void ggml_metal_free(struct ggml_metal_context * ctx) {
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GGML_METAL_LOG_INFO("%s: deallocating\n", __func__);
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for (int i = 0; i < GGML_METAL_KERNEL_TYPE_COUNT; ++i) {
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[ctx->pipelines[i] release];
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[ctx->kernels[i].pipeline release];
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}
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[ctx->library release];
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[ctx->queue release];
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[ctx->device release];
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@ -785,7 +792,7 @@ static bool ggml_metal_graph_compute(
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{
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const int64_t nb = ne00;
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id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CONCAT];
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CONCAT].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -841,18 +848,18 @@ static bool ggml_metal_graph_compute(
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nb = ne00 / 4;
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switch (dst->op) {
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case GGML_OP_ADD: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_ADD_ROW]; break;
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case GGML_OP_MUL: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_ROW]; break;
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case GGML_OP_DIV: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_DIV_ROW]; break;
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case GGML_OP_ADD: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ADD_ROW].pipeline; break;
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case GGML_OP_MUL: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_ROW].pipeline; break;
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case GGML_OP_DIV: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_DIV_ROW].pipeline; break;
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default: GGML_ASSERT(false);
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}
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bcast_row = true;
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} else {
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switch (dst->op) {
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case GGML_OP_ADD: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_ADD]; break;
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case GGML_OP_MUL: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL]; break;
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case GGML_OP_DIV: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_DIV]; break;
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case GGML_OP_ADD: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ADD].pipeline; break;
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case GGML_OP_MUL: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL].pipeline; break;
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case GGML_OP_DIV: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_DIV].pipeline; break;
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default: GGML_ASSERT(false);
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}
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}
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@ -919,7 +926,7 @@ static bool ggml_metal_graph_compute(
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// not sure how to avoid this
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// TODO: make a simpler cpy_bytes kernel
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const id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F32_F32];
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const id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F32_F32].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -946,7 +953,7 @@ static bool ggml_metal_graph_compute(
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[encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)];
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}
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const id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_ADD];
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const id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ADD].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -994,9 +1001,9 @@ static bool ggml_metal_graph_compute(
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if (n % 4 == 0) {
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n /= 4;
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_SCALE_4];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_SCALE_4].pipeline;
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} else {
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_SCALE];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_SCALE].pipeline;
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}
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[encoder setComputePipelineState:pipeline];
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@ -1010,7 +1017,7 @@ static bool ggml_metal_graph_compute(
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switch (ggml_get_unary_op(gf->nodes[i])) {
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case GGML_UNARY_OP_TANH:
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{
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id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_TANH];
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_TANH].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -1022,7 +1029,7 @@ static bool ggml_metal_graph_compute(
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} break;
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case GGML_UNARY_OP_RELU:
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{
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id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_RELU];
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_RELU].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -1034,7 +1041,7 @@ static bool ggml_metal_graph_compute(
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} break;
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case GGML_UNARY_OP_GELU:
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{
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id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GELU];
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GELU].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -1047,7 +1054,7 @@ static bool ggml_metal_graph_compute(
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} break;
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case GGML_UNARY_OP_GELU_QUICK:
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{
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id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GELU_QUICK];
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GELU_QUICK].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -1060,7 +1067,7 @@ static bool ggml_metal_graph_compute(
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} break;
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case GGML_UNARY_OP_SILU:
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{
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id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_SILU];
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_SILU].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -1081,7 +1088,7 @@ static bool ggml_metal_graph_compute(
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{
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GGML_ASSERT(ggml_is_contiguous(src0));
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id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_SQR];
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_SQR].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -1095,7 +1102,7 @@ static bool ggml_metal_graph_compute(
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{
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GGML_ASSERT(src0->nb[0] == ggml_type_size(src0->type));
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id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_SUM_ROWS];
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_SUM_ROWS].pipeline;
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@ -1137,12 +1144,12 @@ static bool ggml_metal_graph_compute(
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while (nth < ne00/4 && nth < 256) {
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nth *= 2;
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}
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_SOFT_MAX_4];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_SOFT_MAX_4].pipeline;
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} else {
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while (nth < ne00 && nth < 1024) {
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nth *= 2;
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}
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_SOFT_MAX];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_SOFT_MAX].pipeline;
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}
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const float scale = ((float *) dst->op_params)[0];
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@ -1170,9 +1177,9 @@ static bool ggml_metal_graph_compute(
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id<MTLComputePipelineState> pipeline = nil;
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if (ne00%8 == 0) {
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_DIAG_MASK_INF_8];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_DIAG_MASK_INF_8].pipeline;
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} else {
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_DIAG_MASK_INF];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_DIAG_MASK_INF].pipeline;
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}
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[encoder setComputePipelineState:pipeline];
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@ -1239,20 +1246,20 @@ static bool ggml_metal_graph_compute(
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id<MTLComputePipelineState> pipeline = nil;
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switch (src0->type) {
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case GGML_TYPE_F32: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_F32_F32 ]; break;
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case GGML_TYPE_F16: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_F16_F32 ]; break;
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case GGML_TYPE_Q4_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q4_0_F32 ]; break;
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case GGML_TYPE_Q4_1: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q4_1_F32 ]; break;
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case GGML_TYPE_Q5_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q5_0_F32 ]; break;
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case GGML_TYPE_Q5_1: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q5_1_F32 ]; break;
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case GGML_TYPE_Q8_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q8_0_F32 ]; break;
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case GGML_TYPE_Q2_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q2_K_F32 ]; break;
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case GGML_TYPE_Q3_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q3_K_F32 ]; break;
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case GGML_TYPE_Q4_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q4_K_F32 ]; break;
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case GGML_TYPE_Q5_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q5_K_F32 ]; break;
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case GGML_TYPE_Q6_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_Q6_K_F32 ]; break;
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case GGML_TYPE_IQ2_XXS: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_IQ2_XXS_F32]; break;
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case GGML_TYPE_IQ2_XS: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_IQ2_XS_F32 ]; break;
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case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_F32_F32 ].pipeline; break;
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case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_F16_F32 ].pipeline; break;
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case GGML_TYPE_Q4_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q4_0_F32 ].pipeline; break;
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case GGML_TYPE_Q4_1: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q4_1_F32 ].pipeline; break;
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case GGML_TYPE_Q5_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q5_0_F32 ].pipeline; break;
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case GGML_TYPE_Q5_1: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q5_1_F32 ].pipeline; break;
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case GGML_TYPE_Q8_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q8_0_F32 ].pipeline; break;
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case GGML_TYPE_Q2_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q2_K_F32 ].pipeline; break;
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case GGML_TYPE_Q3_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q3_K_F32 ].pipeline; break;
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case GGML_TYPE_Q4_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q4_K_F32 ].pipeline; break;
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case GGML_TYPE_Q5_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q5_K_F32 ].pipeline; break;
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case GGML_TYPE_Q6_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_Q6_K_F32 ].pipeline; break;
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case GGML_TYPE_IQ2_XXS: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_IQ2_XXS_F32].pipeline; break;
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case GGML_TYPE_IQ2_XS: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_IQ2_XS_F32 ].pipeline; break;
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default: GGML_ASSERT(false && "MUL MAT-MAT not implemented");
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}
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@ -1287,7 +1294,7 @@ static bool ggml_metal_graph_compute(
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case GGML_TYPE_F32:
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{
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GGML_ASSERT(src1t == GGML_TYPE_F32);
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_F32_F32];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_F32_F32].pipeline;
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nrows = 4;
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} break;
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case GGML_TYPE_F16:
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@ -1296,16 +1303,16 @@ static bool ggml_metal_graph_compute(
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nth1 = 1;
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if (src1t == GGML_TYPE_F32) {
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if (ne11 * ne12 < 4) {
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_F16_F32_1ROW];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_F16_F32_1ROW].pipeline;
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} else if (ne00 >= 128 && ne01 >= 8 && ne00%4 == 0) {
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_F16_F32_L4];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_F16_F32_L4].pipeline;
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nrows = ne11;
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} else {
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_F16_F32];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_F16_F32].pipeline;
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nrows = 4;
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}
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} else {
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pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_F16_F16];
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pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_F16_F16].pipeline;
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nrows = 4;
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}
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} break;
|
||||
|
@ -1313,73 +1320,73 @@ static bool ggml_metal_graph_compute(
|
|||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q4_0_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q4_0_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q4_1:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q4_1_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q4_1_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q5_0:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q5_0_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q5_0_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q5_1:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q5_1_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q5_1_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q8_0:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q8_0_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q8_0_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q2_K:
|
||||
{
|
||||
nth0 = 2;
|
||||
nth1 = 32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q2_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q2_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q3_K:
|
||||
{
|
||||
nth0 = 2;
|
||||
nth1 = 32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q3_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q3_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q4_K:
|
||||
{
|
||||
nth0 = 4; //1;
|
||||
nth1 = 8; //32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q4_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q4_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q5_K:
|
||||
{
|
||||
nth0 = 2;
|
||||
nth1 = 32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q5_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q5_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q6_K:
|
||||
{
|
||||
nth0 = 2;
|
||||
nth1 = 32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_Q6_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_Q6_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_IQ2_XXS:
|
||||
{
|
||||
nth0 = 4;
|
||||
nth1 = 16;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_IQ2_XXS_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_IQ2_XXS_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_IQ2_XS:
|
||||
{
|
||||
nth0 = 4;
|
||||
nth1 = 16;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_IQ2_XS_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_IQ2_XS_F32].pipeline;
|
||||
} break;
|
||||
default:
|
||||
{
|
||||
|
@ -1503,20 +1510,20 @@ static bool ggml_metal_graph_compute(
|
|||
id<MTLComputePipelineState> pipeline = nil;
|
||||
|
||||
switch (src2->type) {
|
||||
case GGML_TYPE_F32: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_F32_F32 ]; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_F16_F32 ]; break;
|
||||
case GGML_TYPE_Q4_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q4_0_F32 ]; break;
|
||||
case GGML_TYPE_Q4_1: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q4_1_F32 ]; break;
|
||||
case GGML_TYPE_Q5_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q5_0_F32 ]; break;
|
||||
case GGML_TYPE_Q5_1: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q5_1_F32 ]; break;
|
||||
case GGML_TYPE_Q8_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q8_0_F32 ]; break;
|
||||
case GGML_TYPE_Q2_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q2_K_F32 ]; break;
|
||||
case GGML_TYPE_Q3_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q3_K_F32 ]; break;
|
||||
case GGML_TYPE_Q4_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q4_K_F32 ]; break;
|
||||
case GGML_TYPE_Q5_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q5_K_F32 ]; break;
|
||||
case GGML_TYPE_Q6_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q6_K_F32 ]; break;
|
||||
case GGML_TYPE_IQ2_XXS: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ2_XXS_F32]; break;
|
||||
case GGML_TYPE_IQ2_XS: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ2_XS_F32 ]; break;
|
||||
case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_F32_F32 ].pipeline; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_F16_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q4_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q4_0_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q4_1: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q4_1_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q5_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q5_0_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q5_1: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q5_1_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q8_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q8_0_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q2_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q2_K_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q3_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q3_K_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q4_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q4_K_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q5_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q5_K_F32 ].pipeline; break;
|
||||
case GGML_TYPE_Q6_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_Q6_K_F32 ].pipeline; break;
|
||||
case GGML_TYPE_IQ2_XXS: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ2_XXS_F32].pipeline; break;
|
||||
case GGML_TYPE_IQ2_XS: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ2_XS_F32 ].pipeline; break;
|
||||
default: GGML_ASSERT(false && "MUL_MAT_ID not implemented");
|
||||
}
|
||||
|
||||
|
@ -1567,86 +1574,86 @@ static bool ggml_metal_graph_compute(
|
|||
case GGML_TYPE_F32:
|
||||
{
|
||||
GGML_ASSERT(src1t == GGML_TYPE_F32);
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_F32_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_F32_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_F16:
|
||||
{
|
||||
GGML_ASSERT(src1t == GGML_TYPE_F32);
|
||||
nth0 = 32;
|
||||
nth1 = 1;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_F16_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_F16_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q4_0:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q4_0_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q4_0_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q4_1:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q4_1_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q4_1_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q5_0:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q5_0_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q5_0_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q5_1:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q5_1_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q5_1_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q8_0:
|
||||
{
|
||||
nth0 = 8;
|
||||
nth1 = 8;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q8_0_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q8_0_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q2_K:
|
||||
{
|
||||
nth0 = 2;
|
||||
nth1 = 32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q2_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q2_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q3_K:
|
||||
{
|
||||
nth0 = 2;
|
||||
nth1 = 32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q3_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q3_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q4_K:
|
||||
{
|
||||
nth0 = 4; //1;
|
||||
nth1 = 8; //32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q4_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q4_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q5_K:
|
||||
{
|
||||
nth0 = 2;
|
||||
nth1 = 32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q5_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q5_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_Q6_K:
|
||||
{
|
||||
nth0 = 2;
|
||||
nth1 = 32;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q6_K_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_Q6_K_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_IQ2_XXS:
|
||||
{
|
||||
nth0 = 4;
|
||||
nth1 = 16;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_IQ2_XXS_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_IQ2_XXS_F32].pipeline;
|
||||
} break;
|
||||
case GGML_TYPE_IQ2_XS:
|
||||
{
|
||||
nth0 = 4;
|
||||
nth1 = 16;
|
||||
pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_IQ2_XS_F32];
|
||||
pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_MUL_MV_ID_IQ2_XS_F32].pipeline;
|
||||
} break;
|
||||
default:
|
||||
{
|
||||
|
@ -1732,21 +1739,21 @@ static bool ggml_metal_graph_compute(
|
|||
id<MTLComputePipelineState> pipeline = nil;
|
||||
|
||||
switch (src0->type) {
|
||||
case GGML_TYPE_F32: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_F32 ]; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_F16 ]; break;
|
||||
case GGML_TYPE_Q4_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q4_0 ]; break;
|
||||
case GGML_TYPE_Q4_1: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q4_1 ]; break;
|
||||
case GGML_TYPE_Q5_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q5_0 ]; break;
|
||||
case GGML_TYPE_Q5_1: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q5_1 ]; break;
|
||||
case GGML_TYPE_Q8_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q8_0 ]; break;
|
||||
case GGML_TYPE_Q2_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q2_K ]; break;
|
||||
case GGML_TYPE_Q3_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q3_K ]; break;
|
||||
case GGML_TYPE_Q4_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q4_K ]; break;
|
||||
case GGML_TYPE_Q5_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q5_K ]; break;
|
||||
case GGML_TYPE_Q6_K: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q6_K ]; break;
|
||||
case GGML_TYPE_IQ2_XXS: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_IQ2_XXS]; break;
|
||||
case GGML_TYPE_IQ2_XS: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_IQ2_XS ]; break;
|
||||
case GGML_TYPE_I32: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GET_ROWS_I32 ]; break;
|
||||
case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_F32 ].pipeline; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_F16 ].pipeline; break;
|
||||
case GGML_TYPE_Q4_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q4_0 ].pipeline; break;
|
||||
case GGML_TYPE_Q4_1: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q4_1 ].pipeline; break;
|
||||
case GGML_TYPE_Q5_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q5_0 ].pipeline; break;
|
||||
case GGML_TYPE_Q5_1: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q5_1 ].pipeline; break;
|
||||
case GGML_TYPE_Q8_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q8_0 ].pipeline; break;
|
||||
case GGML_TYPE_Q2_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q2_K ].pipeline; break;
|
||||
case GGML_TYPE_Q3_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q3_K ].pipeline; break;
|
||||
case GGML_TYPE_Q4_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q4_K ].pipeline; break;
|
||||
case GGML_TYPE_Q5_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q5_K ].pipeline; break;
|
||||
case GGML_TYPE_Q6_K: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_Q6_K ].pipeline; break;
|
||||
case GGML_TYPE_IQ2_XXS: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_IQ2_XXS].pipeline; break;
|
||||
case GGML_TYPE_IQ2_XS: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_IQ2_XS ].pipeline; break;
|
||||
case GGML_TYPE_I32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GET_ROWS_I32 ].pipeline; break;
|
||||
default: GGML_ASSERT(false && "not implemented");
|
||||
}
|
||||
|
||||
|
@ -1778,7 +1785,7 @@ static bool ggml_metal_graph_compute(
|
|||
nth *= 2;
|
||||
}
|
||||
|
||||
id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_RMS_NORM];
|
||||
id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_RMS_NORM].pipeline;
|
||||
|
||||
[encoder setComputePipelineState:pipeline];
|
||||
[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
|
||||
|
@ -1809,7 +1816,7 @@ static bool ggml_metal_graph_compute(
|
|||
// nth *= 2;
|
||||
//}
|
||||
|
||||
id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_GROUP_NORM];
|
||||
id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_GROUP_NORM].pipeline;
|
||||
|
||||
[encoder setComputePipelineState:pipeline];
|
||||
[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
|
||||
|
@ -1833,7 +1840,7 @@ static bool ggml_metal_graph_compute(
|
|||
|
||||
const int nth = MIN(256, ne00);
|
||||
|
||||
id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_NORM];
|
||||
id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_NORM].pipeline;
|
||||
|
||||
[encoder setComputePipelineState:pipeline];
|
||||
[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
|
||||
|
@ -1862,7 +1869,7 @@ static bool ggml_metal_graph_compute(
|
|||
const float m0 = powf(2.0f, -(max_bias) / n_heads_log2_floor);
|
||||
const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_heads_log2_floor);
|
||||
|
||||
id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_ALIBI_F32];
|
||||
id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ALIBI_F32].pipeline;
|
||||
|
||||
[encoder setComputePipelineState:pipeline];
|
||||
[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
|
||||
|
@ -1912,8 +1919,8 @@ static bool ggml_metal_graph_compute(
|
|||
id<MTLComputePipelineState> pipeline = nil;
|
||||
|
||||
switch (src0->type) {
|
||||
case GGML_TYPE_F32: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_ROPE_F32]; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_ROPE_F16]; break;
|
||||
case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_F32].pipeline; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_F16].pipeline; break;
|
||||
default: GGML_ASSERT(false);
|
||||
};
|
||||
|
||||
|
@ -1984,7 +1991,7 @@ static bool ggml_metal_graph_compute(
|
|||
|
||||
switch (src0->type) {
|
||||
case GGML_TYPE_F32: GGML_ASSERT(false && "not implemented"); break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_IM2COL_F16]; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_IM2COL_F16].pipeline; break;
|
||||
default: GGML_ASSERT(false);
|
||||
};
|
||||
|
||||
|
@ -2011,7 +2018,7 @@ static bool ggml_metal_graph_compute(
|
|||
|
||||
const int sf = dst->op_params[0];
|
||||
|
||||
const id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_UPSCALE_F32];
|
||||
const id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_UPSCALE_F32].pipeline;
|
||||
|
||||
[encoder setComputePipelineState:pipeline];
|
||||
[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
|
||||
|
@ -2042,7 +2049,7 @@ static bool ggml_metal_graph_compute(
|
|||
{
|
||||
GGML_ASSERT(src0->type == GGML_TYPE_F32);
|
||||
|
||||
id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_PAD_F32];
|
||||
id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_PAD_F32].pipeline;
|
||||
|
||||
[encoder setComputePipelineState:pipeline];
|
||||
[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
|
||||
|
@ -2080,8 +2087,8 @@ static bool ggml_metal_graph_compute(
|
|||
id<MTLComputePipelineState> pipeline = nil;
|
||||
|
||||
switch (order) {
|
||||
case GGML_SORT_ASC: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_ASC]; break;
|
||||
case GGML_SORT_DESC: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_DESC]; break;
|
||||
case GGML_SORT_ASC: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_ASC].pipeline; break;
|
||||
case GGML_SORT_DESC: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_DESC].pipeline; break;
|
||||
default: GGML_ASSERT(false);
|
||||
};
|
||||
|
||||
|
@ -2099,7 +2106,7 @@ static bool ggml_metal_graph_compute(
|
|||
float slope;
|
||||
memcpy(&slope, dst->op_params, sizeof(float));
|
||||
|
||||
id<MTLComputePipelineState> pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_LEAKY_RELU_F32];
|
||||
id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_LEAKY_RELU_F32].pipeline;
|
||||
|
||||
[encoder setComputePipelineState:pipeline];
|
||||
[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
|
||||
|
@ -2126,21 +2133,21 @@ static bool ggml_metal_graph_compute(
|
|||
GGML_ASSERT(ne0 % ggml_blck_size(dst->type) == 0);
|
||||
|
||||
switch (dstt) {
|
||||
case GGML_TYPE_F16: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F32_F16]; break;
|
||||
case GGML_TYPE_F32: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F32_F32]; break;
|
||||
case GGML_TYPE_Q8_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F32_Q8_0]; break;
|
||||
case GGML_TYPE_Q4_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F32_Q4_0]; break;
|
||||
case GGML_TYPE_Q4_1: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F32_Q4_1]; break;
|
||||
//case GGML_TYPE_Q5_0: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F32_Q5_0]; break;
|
||||
//case GGML_TYPE_Q5_1: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F32_Q5_1]; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F32_F16].pipeline; break;
|
||||
case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F32_F32].pipeline; break;
|
||||
case GGML_TYPE_Q8_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F32_Q8_0].pipeline; break;
|
||||
case GGML_TYPE_Q4_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F32_Q4_0].pipeline; break;
|
||||
case GGML_TYPE_Q4_1: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F32_Q4_1].pipeline; break;
|
||||
//case GGML_TYPE_Q5_0: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F32_Q5_0].pipeline; break;
|
||||
//case GGML_TYPE_Q5_1: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F32_Q5_1].pipeline; break;
|
||||
default: GGML_ASSERT(false && "not implemented");
|
||||
};
|
||||
} break;
|
||||
case GGML_TYPE_F16:
|
||||
{
|
||||
switch (dstt) {
|
||||
case GGML_TYPE_F16: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F16_F16]; break;
|
||||
case GGML_TYPE_F32: pipeline = ctx->pipelines[GGML_METAL_KERNEL_TYPE_CPY_F16_F32]; break;
|
||||
case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F16_F16].pipeline; break;
|
||||
case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_CPY_F16_F32].pipeline; break;
|
||||
default: GGML_ASSERT(false && "not implemented");
|
||||
};
|
||||
} break;
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue