chore : correct typos [no ci] (#20041)
* fix(docs): correct typos found during code review Non-functional changes only: - Fixed minor spelling mistakes in comments - Corrected typos in user-facing strings - No variables, logic, or functional code was modified. Signed-off-by: Marcel Petrick <mail@marcelpetrick.it> * Update docs/backend/CANN.md Co-authored-by: Aaron Teo <taronaeo@gmail.com> * Revert "Auxiliary commit to revert individual files from 846d1c301281178efbc6ce6060ad34c1ebe45af8" This reverts commit 02fcf0c7db661d5ff3eff96b2b2db9fdb7213256. * Update tests/test-backend-ops.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update tests/test-backend-ops.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Signed-off-by: Marcel Petrick <mail@marcelpetrick.it> Co-authored-by: Aaron Teo <taronaeo@gmail.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
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@@ -259,7 +259,7 @@ extern "C" {
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Example usage:
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// operations that use tensors allocated in a buffer with USAGE_WEIGHTS will be assigned
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// preferrably to run on the same backend as the buffer
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// preferably to run on the same backend as the buffer
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ggml_backend_buffer_set_usage(buf_weights, GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
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sched = ggml_backend_sched_new({backend_gpu, backend_gpu2, backend_cpu}, NULL, num_backends, GGML_DEFAULT_GRAPH_SIZE, false, true);
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@@ -138,7 +138,7 @@ extern "C" {
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GGML_API ggml_opt_context_t ggml_opt_init(struct ggml_opt_params params);
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GGML_API void ggml_opt_free(ggml_opt_context_t opt_ctx);
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// set gradients to zero, initilize loss, and optionally reset the optimizer
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// set gradients to zero, initialize loss, and optionally reset the optimizer
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GGML_API void ggml_opt_reset(ggml_opt_context_t opt_ctx, bool optimizer);
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GGML_API bool ggml_opt_static_graphs(ggml_opt_context_t opt_ctx); // whether the graphs are allocated_statically
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@@ -2575,7 +2575,7 @@ extern "C" {
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struct ggml_tensor * grad,
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struct ggml_tensor * sgd_params); // alpha, weight decay
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// build forward mutiple tensors and select one of them for computing
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// build forward multiple tensors and select one of them for computing
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// this is useful for creating graphs that have constant topology but compute different things based on the input
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// ref: https://github.com/ggml-org/llama.cpp/pull/18550
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//
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