This change updates the -pc flag, so that a new xterm256 color scheme is
used. This color scheme is believed to be better for three reasons:
1. It should be friendlier to the colorblind. The scheme was designed by
Paul Tol (see: https://personal.sron.nl/~pault/). TensorBoard uses it
since 2017, so it's already popular in the machine learning community
2. It should appear to be the same colors as before to people who aren't
i.e. it's still a red-green spectrum like before but lightly modified
3. It is readable in both white and black background terminals. The neon
colors before were probably a bit too intense for white backgrounds.
- search for ffmpeg libs/headers at cmake time
- added ffmpeg-transcode.cpp into libcommon if ffmpeg on
- hooked ffmpeg trancoding in common read_wav(...)
- passed test:
./main -m ggml-base.en.bin -f samples/jfk.mp3
* Extended talk-llama example to reject runs without required arguments.
Print warning and exit if models are not specified on the command line.
* Update examples/talk-llama/talk-llama.cpp
* Update examples/talk-llama/talk-llama.cpp
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Add two options:
```
-tp, --temperature N [0.00 ] The sampling temperature, between 0 and 1
-tpi, --temperature-inc N [0.20 ] The increment of temperature, between 0 and 1
```
The sampling temperature, between 0 and 1. Higher values like 0.8 will
make the output more random, while lower values like 0.2 will make it
more focused and deterministic. If set to 0, the model will use log
probability to automatically increase the temperature until certain
thresholds are hit.
Signed-off-by: Daniel Ziegenberg <daniel@ziegenberg.at>
* The "main" example now allows a response-file as the sole parameter.
A response-file is a text file with command-line parameters, one per line.
Prefix the name of the response-file with "@" to identify it as such.
It's used under MS Windows to work around command-line length limits.
It may be useful under other platforms to simplify character-escaping.
* minor : style
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Allow a regular expression to describe tokens to suppress.
Example: --suppress-tokens-re "[,\.]|[ ]?[0-9]+" will suppress commas, periods, and numeric tokens.
Technique inspired by https://github.com/openai/whisper/discussions/1041
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Blind change to fix Java test.
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Implemented command-style grammar in the main example.
Mostly just copied the relevant parts from the command example.
* main : code style
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* whisper.cpp: impl dtw algo
* WIP: producing and placing DTW timestamps on tokens
* Fix compile and assertion errors. Attempt to DTW timestamp with single_segment=false.
* Fix mistake causing incorrect alignment of dtw timestamps
* implement N_TOP_MOST and CUSTOM alignment heads setting
* whisper: fix typo on alignment heads enum
* Fix issues related to changes in whisper.cpp
* Fixed excessive memory use when using DTW timestamps. Other minor fixes to DTW timestamping function
* decoder: save cross QKs only if requested
* Calling median filter with ggml_map_custom1
* Reimpl aheads n_top_most and custom. Sanity checks on chosen aheads
* Copying cross QKs from decoder backend correctly
* dtw: cleanup
* Fix incorrect n_frames passed to dtw when near end of audio
* Fix aheads_masks_init for backend != CPU
* whisper : minor style
* main : add dtw (wip)
* whisper: fix invalid memory access in aheads_masks_init
* main : add dtw (cont)
* whisper : minor
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
