gemma.cpp/evals
Jan Wassenberg 8d0882b966 Huge refactor of weight handling and model loading.
Weight handling:
- new ModelStore2 supports both pre-2025 multi-file and single-file formats
- simpler ForEachTensor with TensorArgs
- tensors are constructed with their full suffixed name

I/O:
- support mmap and stride
- Simplified SbsWriter, single insert(); add SbsReader

Misc:
- kMockTokenizer: allow creating with unavailable tokenizer
- configs.h: Simpler enum validity checks via kSentinel
- matmul.h: remove unused enable_bind (now in allocator.h)
- tensor_info: single TensorInfoRegistry class, rename from tensor_index.h

Frontends:
- Replace Allocate/CreateGemma with ctor(LoaderArgs, MatMulEnv&)
- Deduce model/weight type, remove --model and parsing
- Replace most common.h includes with configs.h
- Remove --compressed_weights, use --weights instead
- Remove ModelInfo, replaced by ModelConfig.

Backprop:
- Reduce max loss, remove backward_scalar_test (timeout)
- Update thresholds because new RandInit changes rng eval order and thus numerics
PiperOrigin-RevId: 755317484
2025-05-06 04:44:21 -07:00
..
benchmark.cc Huge refactor of weight handling and model loading. 2025-05-06 04:44:21 -07:00
benchmark_helper.cc Huge refactor of weight handling and model loading. 2025-05-06 04:44:21 -07:00
benchmark_helper.h Huge refactor of weight handling and model loading. 2025-05-06 04:44:21 -07:00
benchmarks.cc Introduce QueryResult in GemmaEnv and add a shortcut for WrapAndTokenize. 2024-10-14 04:45:21 -07:00
cross_entropy.cc Huge refactor of weight handling and model loading. 2025-05-06 04:44:21 -07:00
cross_entropy.h Huge refactor of weight handling and model loading. 2025-05-06 04:44:21 -07:00
debug_prompt.cc Introduce QueryResult in GemmaEnv and add a shortcut for WrapAndTokenize. 2024-10-14 04:45:21 -07:00
gemma_batch_bench.cc Huge refactor of weight handling and model loading. 2025-05-06 04:44:21 -07:00
gemma_test.cc Huge refactor of weight handling and model loading. 2025-05-06 04:44:21 -07:00
prompts.h Benchmark gemma.cpp with different length inputs. 2024-10-10 15:59:26 -07:00
run_mmlu.cc Huge refactor of weight handling and model loading. 2025-05-06 04:44:21 -07:00