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aio
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zml/aio: enable reading metadata from index.json for sharded safetensor files, allowing metadata storage alongside model config.
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2023-05-23 15:06:59 +00:00 |
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nn
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Add initial Bazel build configuration, async runtime implementation, and core MLIR dialect definitions for ZML.
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2023-01-02 14:28:25 +00:00 |
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tools
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Add initial Bazel build configuration, async runtime implementation, and core MLIR dialect definitions for ZML.
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2023-01-02 14:28:25 +00:00 |
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aio.zig
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async: implement default threaded backend using a thread pool. Backend selectable via @zml//async:impl flag (threaded or zigcoro). Provides workaround for environments where io_uring is unavailable.
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2023-05-25 16:02:11 +00:00 |
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buffer.zig
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zml: reintroduce pjrtx to handle reactor blocking issues in async scenarios, particularly with Events.
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2023-05-26 15:54:15 +00:00 |
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BUILD.bazel
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Refactor torch module: merge PickleData into Parser as torch.File, rename value file to py_object.zig, use buffered reader for pickle and zip headers, adjust intermediate result handling, simplify Python dict representation, separate kwargs from args, and add extensive tests for long integers, protocol 0, zipped pickle, and a complex PyTorch Conv2d case; also streamline BufferStore initialization.
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2023-04-20 15:43:18 +00:00 |
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context.zig
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Add PJRT custom call integration with generic zmlHostBufferCallback to copy tensors to host and invoke user callbacks. Introduce Tensor.print() method to output runtime tensor values (CUDA‑specific, uses a pre‑allocated host buffer).
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2023-06-05 13:42:45 +00:00 |
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dtype.zig
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Implement scatterSlices functionality.
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2023-02-14 13:52:49 +00:00 |
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floats.zig
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zml/tests: re‑enable all Zig tests, fix precision issue by switching to f32, and add refAllDecls to ensure all declarations are tested
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2023-01-23 16:28:19 +00:00 |
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helpers.zig
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zml: clean up dead and commented code; note that copyslice is currently broken and pending reimplementation
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2023-02-08 17:13:47 +00:00 |
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hostbuffer.zig
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Add in-process sharding support across core ZML components (platform, shape, tensor, MLIR generation, buffers, and PJRT integration)
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2023-02-24 17:33:14 +00:00 |
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meta.zig
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Rename zml.aio.Value to zml.aio.Metadata, simplify its type variants, and update torch pickle/eval APIs accordingly.
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2023-04-07 16:45:58 +00:00 |
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mlir.zig
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Implement scatterSlices functionality.
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2023-02-14 13:52:49 +00:00 |
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module.zig
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zml: reintroduce pjrtx to handle reactor blocking issues in async scenarios, particularly with Events.
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2023-05-26 15:54:15 +00:00 |
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nn.zig
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zml.nn: add dynamic sampling with support for top‑k, top‑p, and min‑p settings. Implements token index computation based on the selected sampling strategy, including options for top_k, max_top_k, top_p, and min_p.
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2023-06-16 14:34:18 +00:00 |
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ops.zig
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Add PJRT custom call integration with generic zmlHostBufferCallback to copy tensors to host and invoke user callbacks. Introduce Tensor.print() method to output runtime tensor values (CUDA‑specific, uses a pre‑allocated host buffer).
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2023-06-05 13:42:45 +00:00 |
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pjrtx.zig
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pjrtx: change behavior to return an error when OpenXLA fails to serialize the new batching_dim attribute for gather/scatter, instead of panicking.
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2023-05-29 17:18:19 +00:00 |
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platform.zig
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zml: reintroduce pjrtx to handle reactor blocking issues in async scenarios, particularly with Events.
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2023-05-26 15:54:15 +00:00 |
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posix.h
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Configure the runfiles environment globally at context start to ensure Bazel-built binaries locate their runfiles correctly.
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2023-05-12 11:40:23 +00:00 |
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posix.zig
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Add initial Bazel build configuration, async runtime implementation, and core MLIR dialect definitions for ZML.
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2023-01-02 14:28:25 +00:00 |
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quantization.zig
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Add multi‑axis, batched gatherValues support to tensor, shape, nn, quantization, and torch modules.
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2023-01-18 12:03:48 +00:00 |
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shape.zig
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zml.tensor: add triangular operator to zero out the upper‑right matrix region with configurable offset, and toDiagonal (diag_embed) to embed a vector as a diagonal matrix, correcting previous diag naming. Also add ELU activation under zml.nn.Activation.
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2023-05-18 16:39:21 +00:00 |
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tensor.zig
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zml.nn: add dynamic sampling with support for top‑k, top‑p, and min‑p settings. Implements token index computation based on the selected sampling strategy, including options for top_k, max_top_k, top_p, and min_p.
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2023-06-16 14:34:18 +00:00 |
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test_runner.zig
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zml/test_runner: add optional filtering of test functions via command‑line argument, allowing selective execution of tests (e.g., bazel run //zml:test -- sdpa)
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2023-01-20 13:50:36 +00:00 |
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testing.zig
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zml.tensor: add triangular operator to zero out the upper‑right matrix region with configurable offset, and toDiagonal (diag_embed) to embed a vector as a diagonal matrix, correcting previous diag naming. Also add ELU activation under zml.nn.Activation.
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2023-05-18 16:39:21 +00:00 |
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tokenizer.zig
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Add Normalizer.fromHfJson to read HuggingFace tokenizer JSON and map to internal options, including a configurable magic space token and a debug flag for token merges. Adjust default handling of extra whitespaces to align with HF defaults.
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2023-03-29 16:10:29 +00:00 |
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torch.zig
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Add multi‑axis, batched gatherValues support to tensor, shape, nn, quantization, and torch modules.
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2023-01-18 12:03:48 +00:00 |
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zml.zig
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zml/nn: fix resize implementations (resizeBilinear and resizeBicubic) and expand refAllDecl usage; all tests pass
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2023-01-27 14:35:11 +00:00 |
