ggml/examples: add backend support for numerical optimization (ggml/949)
* CUDA eval works * stochastic gradient descent op * Adam except decay * CUDA CROSS_ENTROPY_LOSS_BACK * CUDA mnist-fc training works * backend CLI arg * refactor gguf load * remove sched from opt_step_adam * implement l1 regularization (weight decay) * extra call to add optimizer * initialize gradients with ggml_graph_reset * gradient accumulation * increment iter per eval instead of epoch * adjust backend interfaces * fix ggml_graph_reset without backend * fix ggml graph export/import * fixup * rename * revert ggml_opt changes * more general CUDA repeat_back * update documentation, fix CNN * validation split * add clarifying comment * optimize PyTorch training * adjust buffer size, thread count * fix 0.0f validation split * Update examples/mnist/mnist-common.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * fix gradient accumulation * tensor flag for accumulators -> tensor hash set * Update include/ggml.h Co-authored-by: slaren <slarengh@gmail.com> * Update tests/test-backend-ops.cpp Co-authored-by: slaren <slarengh@gmail.com> * Update tests/test-backend-ops.cpp Co-authored-by: slaren <slarengh@gmail.com> * fix test prints * Update src/ggml-backend.c Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * better CUDA support for noncontiguous out_prod * add comment --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: slaren <slarengh@gmail.com>
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24 changed files with 883 additions and 129 deletions
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@ -246,6 +246,22 @@ GGML_CALL void ggml_backend_tensor_get(const struct ggml_tensor * tensor, void *
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buf->iface.get_tensor(buf, tensor, data, offset, size);
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}
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GGML_API GGML_CALL void ggml_backend_tensor_memset(struct ggml_tensor * tensor, uint8_t value, size_t offset, size_t size) {
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ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
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GGML_ASSERT(buf != NULL && "tensor buffer not set");
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GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
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GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
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if (!size) {
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return;
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}
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GGML_ASSERT(buf->iface.memset_tensor != NULL && "memset not supported by backend buffer");
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buf->iface.memset_tensor(buf, tensor, value, offset, size);
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}
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void ggml_backend_synchronize(ggml_backend_t backend) {
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if (backend->iface.synchronize == NULL) {
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return;
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@ -569,6 +585,12 @@ GGML_CALL static void ggml_backend_cpu_buffer_free_buffer(ggml_backend_buffer_t
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free(buffer->context);
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}
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GGML_CALL static void ggml_backend_cpu_buffer_memset_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, uint8_t value, size_t offset, size_t size) {
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memset((char *)tensor->data + offset, value, size);
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GGML_UNUSED(buffer);
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}
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GGML_CALL static void ggml_backend_cpu_buffer_set_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
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memcpy((char *)tensor->data + offset, data, size);
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@ -600,6 +622,7 @@ static struct ggml_backend_buffer_i cpu_backend_buffer_i = {
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/* .free_buffer = */ ggml_backend_cpu_buffer_free_buffer,
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/* .get_base = */ ggml_backend_cpu_buffer_get_base,
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/* .init_tensor = */ NULL, // no initialization required
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/* .memset_tensor = */ ggml_backend_cpu_buffer_memset_tensor,
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/* .set_tensor = */ ggml_backend_cpu_buffer_set_tensor,
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/* .get_tensor = */ ggml_backend_cpu_buffer_get_tensor,
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/* .cpy_tensor = */ ggml_backend_cpu_buffer_cpy_tensor,
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@ -613,6 +636,7 @@ static struct ggml_backend_buffer_i cpu_backend_buffer_i_from_ptr = {
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/* .free_buffer = */ NULL, // ptr is not owned by the buffer, so it does not need to be freed
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/* .get_base = */ ggml_backend_cpu_buffer_get_base,
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/* .init_tensor = */ NULL, // no initialization required
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/* .memset_tensor = */ ggml_backend_cpu_buffer_memset_tensor,
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/* .set_tensor = */ ggml_backend_cpu_buffer_set_tensor,
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/* .get_tensor = */ ggml_backend_cpu_buffer_get_tensor,
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/* .cpy_tensor = */ ggml_backend_cpu_buffer_cpy_tensor,
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@ -980,6 +1004,7 @@ static struct ggml_backend_buffer_i ggml_backend_multi_buffer_context_interface(
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/* .free_buffer = */ ggml_backend_multi_buffer_free_buffer,
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/* .get_base = */ NULL,
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/* .init_tensor = */ NULL,
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/* .memset_tensor = */ NULL,
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/* .set_tensor = */ NULL,
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/* .get_tensor = */ NULL,
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/* .cpy_tensor = */ NULL,
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