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https://github.com/ggml-org/llama.cpp.git
synced 2025-08-13 11:57:43 -04:00
ggml : fix fallback to CPU for ununsupported ops (#15118)
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@@ -1071,6 +1071,11 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
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}
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}
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}
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// if the node is still unassigned, assign it to the first backend that supports it
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for (int b = 0; b < sched->n_backends && *cur_backend_id == -1; b++) {
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ggml_backend_sched_set_if_supported(sched, node, b, cur_backend_id);
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}
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GGML_ASSERT(*cur_backend_id != -1);
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}
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// pass 5: split graph, find tensors that need to be copied
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@@ -1098,7 +1103,7 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
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const int node_backend_id = tensor_backend_id(node);
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assert(node_backend_id != -1); // all nodes should be assigned by now, this can happen if there is no CPU fallback
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GGML_ASSERT(node_backend_id != -1); // all nodes should be assigned by now, this can happen if there is no CPU fallback
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// check if we should start a new split based on the sources of the current node
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bool need_new_split = false;
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@@ -1156,7 +1161,7 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
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size_t src_id = hash_id(src);
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const int src_backend_id = sched->hv_tensor_backend_ids[src_id];
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assert(src_backend_id != -1); // all inputs should be assigned by now
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GGML_ASSERT(src_backend_id != -1); // all inputs should be assigned by now
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if (src->flags & GGML_TENSOR_FLAG_INPUT && sched->n_copies > 1) {
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if (tensor_id_copy(src_id, src_backend_id, 0) == NULL) {
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@@ -35,7 +35,7 @@
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// ggml-backend interface
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std::vector<ggml_backend_buffer_type_t>& ggml_backend_cpu_get_extra_buffers_type() {
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std::vector<ggml_backend_buffer_type_t> & ggml_backend_cpu_get_extra_buffer_types() {
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static std::vector<ggml_backend_buffer_type_t> bufts = []() {
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std::vector<ggml_backend_buffer_type_t> bufts;
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@@ -57,8 +57,6 @@ std::vector<ggml_backend_buffer_type_t>& ggml_backend_cpu_get_extra_buffers_type
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}
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#endif
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bufts.push_back(NULL);
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return bufts;
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}();
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@@ -66,14 +64,20 @@ std::vector<ggml_backend_buffer_type_t>& ggml_backend_cpu_get_extra_buffers_type
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}
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static ggml_backend_buffer_type_t * ggml_backend_cpu_device_get_extra_buffers_type(ggml_backend_dev_t device) {
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return ggml_backend_cpu_get_extra_buffers_type().data();
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static std::vector<ggml_backend_buffer_type_t> extra_bufts = [] {
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std::vector<ggml_backend_buffer_type_t> bufts = ggml_backend_cpu_get_extra_buffer_types();
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bufts.push_back(nullptr);
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return bufts;
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}();
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return extra_bufts.data();
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GGML_UNUSED(device);
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}
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static bool ggml_backend_cpu_is_extra_buffer_type(ggml_backend_buffer_type_t buft) {
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for (auto * extra : ggml_backend_cpu_get_extra_buffers_type()) {
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if (extra && extra == buft) {
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for (auto * extra : ggml_backend_cpu_get_extra_buffer_types()) {
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if (extra == buft) {
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return true;
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}
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}
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@@ -397,20 +401,13 @@ static bool ggml_backend_cpu_device_supports_op(ggml_backend_dev_t dev, const st
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return true;
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}
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// extra_buffer_op?
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for (auto extra : ggml_backend_cpu_get_extra_buffers_type()) {
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if (extra) {
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auto buf_extra = (ggml::cpu::extra_buffer_type*) extra->context;
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if (buf_extra && buf_extra->supports_op(dev, op)) {
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return true;
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}
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}
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}
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// the other case need host buffer.
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for (int i = 0; i < GGML_MAX_SRC; i++) {
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if (op->src[i] && op->src[i]->buffer && !ggml_backend_buft_is_host(op->src[i]->buffer->buft)) {
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return false;
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// check extra buffer types
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// note: only the first sources are checked for extra buffer types to reduce overhead, increase if necessary
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for (int i = 0; i < 4; i++) {
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if (op->src[i] && op->src[i]->buffer &&
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ggml_backend_cpu_is_extra_buffer_type(op->src[i]->buffer->buft)) {
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auto * buf_extra = (ggml::cpu::extra_buffer_type *) op->src[i]->buffer->buft->context;
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return buf_extra->supports_op(dev, op);
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}
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}
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@@ -10,7 +10,7 @@ extra_buffer_type::~extra_buffer_type() {}
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} // namespace ggml::cpu
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bool ggml_cpu_extra_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * op) {
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for (auto extra : ggml_backend_cpu_get_extra_buffers_type()) {
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for (auto extra : ggml_backend_cpu_get_extra_buffer_types()) {
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if (extra && extra->context) {
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auto buf_extra = (ggml::cpu::extra_buffer_type *) extra->context;
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auto tensor_traits = buf_extra->get_tensor_traits(op);
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@@ -23,7 +23,7 @@ bool ggml_cpu_extra_compute_forward(struct ggml_compute_params * params, struct
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}
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bool ggml_cpu_extra_work_size(int n_threads, const struct ggml_tensor * op, size_t * size) {
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for (auto extra : ggml_backend_cpu_get_extra_buffers_type()) {
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for (auto extra : ggml_backend_cpu_get_extra_buffer_types()) {
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if (extra && extra->context) {
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auto buf_extra = (ggml::cpu::extra_buffer_type *) extra->context;
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auto tensor_traits = buf_extra->get_tensor_traits(op);
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@@ -33,6 +33,6 @@ class extra_buffer_type {
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} // namespace ggml::cpu
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// implemented in ggml-cpu.cpp.
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std::vector<ggml_backend_buffer_type_t> & ggml_backend_cpu_get_extra_buffers_type();
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std::vector<ggml_backend_buffer_type_t> & ggml_backend_cpu_get_extra_buffer_types();
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#endif
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