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ggml : add error handling to graph_compute (whisper/1714)
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@ -90,7 +90,7 @@ extern "C" {
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void (*graph_plan_compute)(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
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void (*graph_plan_compute)(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
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// compute graph without a plan
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// compute graph without a plan
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void (*graph_compute)(ggml_backend_t backend, struct ggml_cgraph * cgraph);
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bool (*graph_compute)(ggml_backend_t backend, struct ggml_cgraph * cgraph);
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// check if the backend supports an operation
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// check if the backend supports an operation
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bool (*supports_op)(ggml_backend_t backend, const struct ggml_tensor * op);
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bool (*supports_op)(ggml_backend_t backend, const struct ggml_tensor * op);
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@ -195,11 +195,14 @@ void ggml_backend_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_
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ggml_backend_synchronize(backend);
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ggml_backend_synchronize(backend);
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}
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}
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void ggml_backend_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
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bool ggml_backend_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
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backend->iface.graph_compute(backend, cgraph);
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if (!backend->iface.graph_compute(backend, cgraph)) {
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return false;
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}
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// TODO: optional sync
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// TODO: optional sync
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ggml_backend_synchronize(backend);
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ggml_backend_synchronize(backend);
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return true;
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}
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}
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bool ggml_backend_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
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bool ggml_backend_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
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@ -597,7 +600,7 @@ static void ggml_backend_cpu_graph_plan_compute(ggml_backend_t backend, ggml_bac
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GGML_UNUSED(backend);
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GGML_UNUSED(backend);
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}
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}
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static void ggml_backend_cpu_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
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static bool ggml_backend_cpu_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
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struct ggml_backend_cpu_context * cpu_ctx = (struct ggml_backend_cpu_context *)backend->context;
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struct ggml_backend_cpu_context * cpu_ctx = (struct ggml_backend_cpu_context *)backend->context;
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struct ggml_cplan cplan = ggml_graph_plan(cgraph, cpu_ctx->n_threads);
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struct ggml_cplan cplan = ggml_graph_plan(cgraph, cpu_ctx->n_threads);
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@ -611,6 +614,7 @@ static void ggml_backend_cpu_graph_compute(ggml_backend_t backend, struct ggml_c
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cplan.work_data = cpu_ctx->work_data;
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cplan.work_data = cpu_ctx->work_data;
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ggml_graph_compute(cgraph, &cplan);
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ggml_graph_compute(cgraph, &cplan);
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return true;
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}
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}
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static bool ggml_backend_cpu_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
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static bool ggml_backend_cpu_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
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@ -58,7 +58,7 @@ extern "C" {
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GGML_API void ggml_backend_graph_plan_free (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
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GGML_API void ggml_backend_graph_plan_free (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
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GGML_API void ggml_backend_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
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GGML_API void ggml_backend_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
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GGML_API void ggml_backend_graph_compute (ggml_backend_t backend, struct ggml_cgraph * cgraph);
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GGML_API bool ggml_backend_graph_compute (ggml_backend_t backend, struct ggml_cgraph * cgraph);
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GGML_API bool ggml_backend_supports_op (ggml_backend_t backend, const struct ggml_tensor * op);
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GGML_API bool ggml_backend_supports_op (ggml_backend_t backend, const struct ggml_tensor * op);
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// tensor copy between different backends
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// tensor copy between different backends
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@ -9910,7 +9910,7 @@ static void ggml_backend_cuda_graph_plan_compute(ggml_backend_t backend, ggml_ba
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UNUSED(plan);
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UNUSED(plan);
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}
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}
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static void ggml_backend_cuda_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) {
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static bool ggml_backend_cuda_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) {
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ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context;
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ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context;
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ggml_cuda_set_main_device(cuda_ctx->device);
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ggml_cuda_set_main_device(cuda_ctx->device);
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@ -9967,6 +9967,8 @@ static void ggml_backend_cuda_graph_compute(ggml_backend_t backend, ggml_cgraph
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}
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}
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UNUSED(backend);
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UNUSED(backend);
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return true;
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}
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}
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static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, const ggml_tensor * op) {
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static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, const ggml_tensor * op) {
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@ -87,7 +87,7 @@ int * ggml_metal_get_concur_list(struct ggml_metal_context * ctx);
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// same as ggml_graph_compute but uses Metal
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// same as ggml_graph_compute but uses Metal
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// creates gf->n_threads command buffers in parallel
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// creates gf->n_threads command buffers in parallel
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void ggml_metal_graph_compute(struct ggml_metal_context * ctx, struct ggml_cgraph * gf);
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bool ggml_metal_graph_compute(struct ggml_metal_context * ctx, struct ggml_cgraph * gf);
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//
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//
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// backend API
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// backend API
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@ -977,7 +977,7 @@ static bool ggml_metal_supports_op(const struct ggml_tensor * op) {
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return false;
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return false;
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}
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}
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}
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}
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void ggml_metal_graph_compute(
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bool ggml_metal_graph_compute(
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struct ggml_metal_context * ctx,
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struct ggml_metal_context * ctx,
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struct ggml_cgraph * gf) {
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struct ggml_cgraph * gf) {
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@autoreleasepool {
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@autoreleasepool {
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@ -2405,10 +2405,11 @@ void ggml_metal_graph_compute(
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MTLCommandBufferStatus status = (MTLCommandBufferStatus) [ctx->command_buffers[i] status];
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MTLCommandBufferStatus status = (MTLCommandBufferStatus) [ctx->command_buffers[i] status];
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if (status != MTLCommandBufferStatusCompleted) {
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if (status != MTLCommandBufferStatusCompleted) {
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GGML_METAL_LOG_INFO("%s: command buffer %d failed with status %lu\n", __func__, i, status);
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GGML_METAL_LOG_INFO("%s: command buffer %d failed with status %lu\n", __func__, i, status);
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GGML_ASSERT(false);
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return false;
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}
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}
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}
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}
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return true;
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}
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}
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}
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}
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@ -2688,10 +2689,10 @@ static ggml_backend_buffer_type_t ggml_backend_metal_get_default_buffer_type(ggm
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UNUSED(backend);
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UNUSED(backend);
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}
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}
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static void ggml_backend_metal_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
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static bool ggml_backend_metal_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
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struct ggml_metal_context * metal_ctx = (struct ggml_metal_context *)backend->context;
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struct ggml_metal_context * metal_ctx = (struct ggml_metal_context *)backend->context;
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ggml_metal_graph_compute(metal_ctx, cgraph);
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return ggml_metal_graph_compute(metal_ctx, cgraph);
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}
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}
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static bool ggml_backend_metal_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
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static bool ggml_backend_metal_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
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