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7992aa7c8e
* Add unit test coverage for llama_tensor_get_type * Fix merge conflicts, add more schemas * clang formatter changes * Trailing whitespace * Update name * Start rebase * Updating files with upstream changes prior to rebase * Changes needed from rebase * Update attn_qkv schema, change throw behaviour * Fix merge conflicts * White space * Update with latest changes to state counters * Revert accidental personal CLAUDE.md changes * Change quotation mark * Reuse metadata.name since we have it * Move test-only stuff out of llama-quant.cpp * Hide the regex functionality back in llama-quant.cpp, use a unique pointer to a new struct 'compiled_tensor_type_patterns' which contains the patterns * cont : inital deslop guidelines * Cleanup based on review comments * Continue cleanup * Small cleanup * Manually set proper ordering of tensors, mostly applies to gemma * Formatting * Update tests/test-quant-type-selection.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Fix merge conflicts --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
57 lines
1.8 KiB
C++
57 lines
1.8 KiB
C++
#pragma once
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#include "llama.h"
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#include <cstdint>
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// Reserve a new compute graph. It is valid until the next call to llama_graph_reserve.
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LLAMA_API struct ggml_cgraph * llama_graph_reserve(
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struct llama_context * ctx,
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uint32_t n_tokens,
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uint32_t n_seqs,
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uint32_t n_outputs);
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// Get the default ggml_type for a given ftype.
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LLAMA_API ggml_type llama_ftype_get_default_type(llama_ftype ftype);
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// Quantization state.
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struct quantize_state_impl;
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LLAMA_API quantize_state_impl * llama_quant_init(
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const llama_model * model,
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const llama_model_quantize_params * params);
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LLAMA_API void llama_quant_free(quantize_state_impl * qs);
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// Descriptor for constructing a mock model for quantization testing.
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struct llama_quant_model_desc {
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const char * architecture;
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uint32_t n_embd;
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uint32_t n_ff;
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uint32_t n_layer;
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uint32_t n_head;
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uint32_t n_head_kv;
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uint32_t n_expert;
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uint32_t n_embd_head_k;
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uint32_t n_embd_head_v;
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};
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// Create a mock model from a metadata descriptor (for testing).
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// The returned model must be freed with llama_model_free().
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LLAMA_API llama_model * llama_quant_model_from_metadata(const llama_quant_model_desc * desc);
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// Returns true if this tensor should be quantized (based on name, dims, params).
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LLAMA_API bool llama_quant_tensor_allows_quantization(
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const quantize_state_impl * qs,
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const ggml_tensor * tensor);
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// Compute quantization type assignments for a list of tensors.
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// All tensors should be quantizable (use llama_quant_tensor_allows_quantization to filter).
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// result_types: caller-allocated array of n_tensors elements, filled with assigned types.
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LLAMA_API void llama_quant_compute_types(
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quantize_state_impl * qs,
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llama_ftype ftype,
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ggml_tensor ** tensors,
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ggml_type * result_types,
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size_t n_tensors);
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