Xsn/mimi dec #17
Xsn/mimi dec #17
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WalkthroughThis update adds a new ignore rule for root-level Changes
Sequence Diagram(s)sequenceDiagram
participant U as User
participant CLI as CLI
participant MMC as MimiModelConverter
participant GF as GGUF Writer
U->>CLI: Run convert_mimi_to_gguf.py with arguments
CLI->>MMC: Parse arguments & initialize converter
MMC->>MMC: Process model tensors (add_tensor)
MMC->>GF: Write processed tensors & metadata to GGUF file
GF-->>MMC: Confirm write success
MMC-->>CLI: Conversion complete
sequenceDiagram
participant U as User
participant M as mimi.cpp (Main)
participant MM as mimi_model
participant CS as save_wav16
U->>M: Run executable with input codes
M->>MM: Instantiate model with model file
MM->>MM: Process codes (transpose & decode)
MM-->>M: Return decoded audio data
M->>CS: Save audio data as WAV file
CS-->>M: Confirm write success
M-->>U: Output generated audio file
Poem
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Actionable comments posted: 0
🧹 Nitpick comments (15)
examples/tts/README-mimi.md (1)
33-50: Missing language specifier in code block.The fenced code block is missing a language specifier, which would improve syntax highlighting.
-``` +```txt🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
33-33: Fenced code blocks should have a language specified
null(MD040, fenced-code-language)
common/common.cpp (1)
2063-2085: Consider extra validations and multi-channel support.
This function writes 16-bit PCM data into a WAV container and clamps samples to a 16-bit range. It lacks validations around zero or invalid sample rates, and it hardcodes the WAV header to single-channel audio. Consider checking thatsample_rateis positive and supporting user-defined channels if needed.examples/tts/mimi.cpp (2)
28-36: Validate bounds for dummy0 codes.
Currently, the code simply generates an increasing sequence from 0 to 95. Consider verifying or documenting any code range expectations to avoid out-of-bound usage later in the pipeline.
37-72: Large hard-coded array of codes.
The dummy1 array is extensive. For maintainability, consider placing it in a separate resource file or struct to keep this file concise.examples/tts/mimi-model.h (1)
20-39: API design suggestions.
The class exposes a constructor, destructor, and decoding methods. For clarity, consider documenting each method’s pre- and post-conditions (e.g. expected input ranges forcodes), especially the privatedecode_framemethod. This helps maintainers and library consumers understand usage constraints.examples/tts/convert_mimi_to_gguf.py (3)
19-42: Constructor logic detail.
The constructor loads the Mimi model, sets up the GGUF writer, and ensures the model architecture is correct. Consider providing a more descriptivearchproperty to reflect the Mimi architecture in the output, if relevant for your pipeline.
43-113: Comprehensive tensor processing but watch out for fallback paths.
You correctly convert unsupported data types to float32 and handle quantization. However, when a quantization error occurs, you fall back to F16 without logging the shape or ignoring that fallback scenario. Consider clarifying fallback logic with a more explicit differentiation in the logs to reduce debugging confusion.🧰 Tools
🪛 Ruff (0.8.2)
110-110: f-string without any placeholders
Remove extraneous
fprefix(F541)
110-110: Remove redundant f-string.
Static analysis suggests the outerfmight be unnecessary when using nested formatting. Consider simplifying to avoid confusion and potential parse overhead:- logger.info(f"{f'%-32s' % f'{name},'} {old_dtype} --> {data_qtype.name}, shape = {shape_str}") + logger.info("%-32s %s --> %s, shape = %s", f"{name},", old_dtype, data_qtype.name, shape_str)🧰 Tools
🪛 Ruff (0.8.2)
110-110: f-string without any placeholders
Remove extraneous
fprefix(F541)
examples/tts/mimi-model.cpp (7)
42-68: Consider avoiding reliance on a global configuration object.
mimi_configis declared as a global static variable, which may hinder scenarios requiring multiple configurations simultaneously. Passing the configuration as a constructor parameter or storing it within themimi_ggml_ctxormimi_modelinstances would improve modularity and reusability.
87-95: Use an initialization list for better performance and clarity.
The static analysis hint suggests thatbackend(and possibly other members) could be initialized in the constructor’s initialization list rather than assigning them in the constructor body. This helps avoid re-assignment and can slightly improve performance.- mimi_ggml_ctx() { - backend = ggml_backend_init_by_type(GGML_BACKEND_DEVICE_TYPE_CPU, nullptr); - ... - } + mimi_ggml_ctx() + : backend(ggml_backend_init_by_type(GGML_BACKEND_DEVICE_TYPE_CPU, nullptr)) { + ... + }🧰 Tools
🪛 Cppcheck (2.10-2)
[performance] 88-88: Variable 'backend' is assigned in constructor body. Consider performing initialization in initialization list.
(useInitializationList)
343-418: Review naming for repeated pattern layers.
The arrayrepeated_patternand the iterative push_back logic are effective, but it might be clearer to name or enumerate the layers (e.g.,UPSAMPLE_LAYER,RESIDUAL_LAYER) and store them in a more descriptive structure instead of just repeated indices. This can enhance readability and reduce confusion for maintainers.
536-603: Ensure robust handling of out-of-range codes.
Themimi_residual_vector_quantizer::decodefunction usesggml_get_rowswith indices from the input codes. If an external source feeds invalid or negative codes, it may produce undefined behavior. Consider adding validation or clamping before callingggml_get_rows.
606-617: Destructor clarity.
The destructor doesn’t explicitly release resources sincectxis managed by a smart pointer. It might be beneficial to add a brief comment clarifying that cleanup is deferred tomimi_ggml_ctxand the smart pointer. This helps future maintainers quickly verify there are no memory leaks.
619-683: Consider splitting large function for maintainability.
mimi_model::decode_frameintermixes graph-building, data setup, position tracking, and final result extraction. Splitting the logic into smaller helper functions (e.g., one for graph-building, one for input data setup) can make the code more readable and maintainable.
685-712: Potential for streaming or batched processing.
mimi_model::decodeprocesses frames in a loop, accumulating output. For large input code sequences, consider a streaming or chunk-based approach that reuses partial computations if the model architecture allows. This may improve performance in real-time audio applications.
📜 Review details
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📒 Files selected for processing (10)
.gitignore(1 hunks)common/common.cpp(1 hunks)common/common.h(1 hunks)examples/tts/CMakeLists.txt(1 hunks)examples/tts/README-mimi.md(1 hunks)examples/tts/convert_mimi_to_gguf.py(1 hunks)examples/tts/mimi-model.cpp(1 hunks)examples/tts/mimi-model.h(1 hunks)examples/tts/mimi.cpp(1 hunks)examples/tts/tts.cpp(0 hunks)
🔥 Files not summarized due to errors (1)
- examples/tts/tts.cpp: Error: Disallowed special token found: <|im_start|>
💤 Files with no reviewable changes (1)
- examples/tts/tts.cpp
🧰 Additional context used
🧬 Code Definitions (1)
examples/tts/mimi-model.cpp (1)
examples/tts/mimi-model.h (5)
mimi_model(20-20)mimi_model(21-21)codes(28-28)codes(31-31)codes(37-37)
🪛 markdownlint-cli2 (0.17.2)
examples/tts/README-mimi.md
33-33: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
🪛 Ruff (0.8.2)
examples/tts/convert_mimi_to_gguf.py
110-110: f-string without any placeholders
Remove extraneous f prefix
(F541)
🪛 Cppcheck (2.10-2)
examples/tts/mimi-model.cpp
[performance] 88-88: Variable 'backend' is assigned in constructor body. Consider performing initialization in initialization list.
(useInitializationList)
⏰ Context from checks skipped due to timeout of 90000ms (20)
- GitHub Check: ubuntu-22-cmake-sycl
- GitHub Check: ubuntu-latest-llguidance
- GitHub Check: macOS-latest-cmake-tvos
- GitHub Check: windows-latest-cmake (msvc-arm64, -G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-win...
- GitHub Check: windows-latest-cmake (noavx-x64, -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DGGML_A...
- GitHub Check: ubuntu-22-cmake-vulkan
- GitHub Check: windows-2019-cmake-cuda (12.4, cuda)
- GitHub Check: windows-2019-cmake-cuda (11.7, cuda)
- GitHub Check: windows-msys2 (CLANG64, clang-x86_64, Release)
- GitHub Check: macOS-latest-swift (generic/platform=iOS)
- GitHub Check: ubuntu-22-cmake-sycl-fp16
- GitHub Check: macOS-latest-swift (generic/platform=tvOS)
- GitHub Check: ubuntu-latest-cmake-sanitizer (UNDEFINED, Debug)
- GitHub Check: macOS-latest-cmake-arm64
- GitHub Check: ubuntu-latest-cmake-sanitizer (THREAD, Debug)
- GitHub Check: macOS-latest-cmake-x64
- GitHub Check: server (UNDEFINED, RelWithDebInfo)
- GitHub Check: server-windows
- GitHub Check: server (ADDRESS, RelWithDebInfo)
- GitHub Check: server (Release)
🔇 Additional comments (20)
.gitignore (1)
110-110: Added.wavfiles to gitignore.Good addition of the
.wavfile pattern to .gitignore. This ensures that audio output files generated by the new Mimi TTS functionality won't be tracked by version control, which is appropriate for generated content.common/common.h (2)
687-705: Well-structured WAV header definition.The
wav_headerstruct provides a complete and properly structured definition of the WAV file format header. The initialization of fixed values (like 'RIFF', 'WAVE', etc.) and setting of default values for format parameters is well done.
707-707: Good function signature for WAV file saving.The
save_wav16function has a well-designed signature with appropriate parameters: a file name, the audio data as a vector of float values, and the sample rate. The function returns a boolean to indicate success or failure, which follows good error handling practices.examples/tts/README-mimi.md (1)
1-32: Clear documentation for Mimi model usage.The README provides comprehensive instructions for converting, compiling, and running the Mimi model, with appropriate command examples and explanations.
examples/tts/CMakeLists.txt (1)
7-12: Properly configured new executable target.The new
llama-mimitarget is correctly set up with appropriate source files, installation commands, and library dependencies. The use of C++20 for designated initializers is clearly commented, which helps explain the deviation from the C++17 standard used elsewhere.common/common.cpp (1)
2058-2062: No functional changes in these comment lines.examples/tts/mimi.cpp (5)
1-13: File and comments initialization look fine.
14-22: Usage instructions appear clear and concise.
24-27: Argument handling is sufficient.
73-96: File-based codes loading is well-structured.
98-113: Consider handling potential decoding errors.
After creating the model and callingdecode, there's no check for unsuccessful decoding or empty data. You might wish to verify and handle errors or unusual conditions before proceeding to write the WAV file.examples/tts/mimi-model.h (2)
1-11: Header guards, includes, and forward declarations are straightforward.
12-19: Reasonable class member usage.
Storing the internal objects asunique_ptrlooks proper for efficient RAII management.examples/tts/convert_mimi_to_gguf.py (5)
1-13: Import statements and initial setup are clear.
114-119: Writer function is straightforward.
120-127: Matrix reshaping approach is sound.
128-158: Argument parsing is robust.
160-191: Overall conversion flow is well-structured.examples/tts/mimi-model.cpp (2)
227-261: Consider expanding support for padding modes.
Currently,ggml_pad_extonly supports constant zero padding and replication. If future requirements broaden the need for reflect or circular modes, you may consider extending this logic or adding clear error reporting for unsupported modes.Do you plan to implement these additional modes in the future?
296-338: Validate the transposed convolution approach for edge cases.
mimi_conv_transpose_1ddiscards padding columns at the end. In different audio sequences or for corner frames where stride/padding interactions are large, unexpected artifacts might occur. It’s advisable to confirm correctness via unit tests or additional boundary checks, especially for partial frames or small input sizes.Please run thorough tests with unusual stride and dilation values to ensure no index out-of-bounds errors occur.
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New Features
Documentation