| .. |
|
aio
|
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.
|
2023-04-20 15:43:18 +00:00 |
|
nn
|
Add initial Bazel build configuration, async runtime implementation, and core MLIR dialect definitions for ZML.
|
2023-01-02 14:28:25 +00:00 |
|
tools
|
Add initial Bazel build configuration, async runtime implementation, and core MLIR dialect definitions for ZML.
|
2023-01-02 14:28:25 +00:00 |
|
aio.zig
|
Rename async_ to asyncc and add Generic async slugs in async.zig, aio.zig, and module.zig.
|
2023-05-04 14:44:12 +00:00 |
|
buffer.zig
|
Add fallback for runtimes lacking PJRT_Event by using thread‑pool dispatch for buffer copies and treating operations as synchronous when events are absent.
|
2023-05-09 12:44:56 +00:00 |
|
BUILD.bazel
|
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.
|
2023-04-20 15:43:18 +00:00 |
|
context.zig
|
Introduce a thin abstraction layer between ZML and PJRT to manage plugin loading decisions, enable compile‑time detection of linked runtimes, and handle cases such as libtpu blocking metadata access.
|
2023-05-15 09:36:41 +00:00 |
|
dtype.zig
|
Implement scatterSlices functionality.
|
2023-02-14 13:52:49 +00:00 |
|
floats.zig
|
zml/tests: re‑enable all Zig tests, fix precision issue by switching to f32, and add refAllDecls to ensure all declarations are tested
|
2023-01-23 16:28:19 +00:00 |
|
helpers.zig
|
zml: clean up dead and commented code; note that copyslice is currently broken and pending reimplementation
|
2023-02-08 17:13:47 +00:00 |
|
hostbuffer.zig
|
Add in-process sharding support across core ZML components (platform, shape, tensor, MLIR generation, buffers, and PJRT integration)
|
2023-02-24 17:33:14 +00:00 |
|
meta.zig
|
Rename zml.aio.Value to zml.aio.Metadata, simplify its type variants, and update torch pickle/eval APIs accordingly.
|
2023-04-07 16:45:58 +00:00 |
|
mlir.zig
|
Implement scatterSlices functionality.
|
2023-02-14 13:52:49 +00:00 |
|
module.zig
|
Add fallback for runtimes lacking PJRT_Event by using thread‑pool dispatch for buffer copies and treating operations as synchronous when events are absent.
|
2023-05-09 12:44:56 +00:00 |
|
nn.zig
|
Add Tensor.concatenate support, begin deprecating broadcastLeft, and compute transformer head scaling constant in f32 for higher precision.
|
2023-04-21 15:55:07 +00:00 |
|
ops.zig
|
zml.tensor: add cumulativeSum operator and refactor maxPoolND. Introduce cumulative sum using reduceWindow. Simplify reduceWindow signature by merging padding_shape and padding_value. Update maxPool1D/2D to accept tuple arguments. Revise pad to use tagged or AOS syntax; remove SOA syntax.
|
2023-05-17 09:01:27 +00:00 |
|
platform.zig
|
Introduce a thin abstraction layer between ZML and PJRT to manage plugin loading decisions, enable compile‑time detection of linked runtimes, and handle cases such as libtpu blocking metadata access.
|
2023-05-15 09:36:41 +00:00 |
|
posix.h
|
Configure the runfiles environment globally at context start to ensure Bazel-built binaries locate their runfiles correctly.
|
2023-05-12 11:40:23 +00:00 |
|
posix.zig
|
Add initial Bazel build configuration, async runtime implementation, and core MLIR dialect definitions for ZML.
|
2023-01-02 14:28:25 +00:00 |
|
quantization.zig
|
Add multi‑axis, batched gatherValues support to tensor, shape, nn, quantization, and torch modules.
|
2023-01-18 12:03:48 +00:00 |
|
shape.zig
|
zml.tensor: add cumulativeSum operator and refactor maxPoolND. Introduce cumulative sum using reduceWindow. Simplify reduceWindow signature by merging padding_shape and padding_value. Update maxPool1D/2D to accept tuple arguments. Revise pad to use tagged or AOS syntax; remove SOA syntax.
|
2023-05-17 09:01:27 +00:00 |
|
tensor.zig
|
zml.tensor: add cumulativeSum operator and refactor maxPoolND. Introduce cumulative sum using reduceWindow. Simplify reduceWindow signature by merging padding_shape and padding_value. Update maxPool1D/2D to accept tuple arguments. Revise pad to use tagged or AOS syntax; remove SOA syntax.
|
2023-05-17 09:01:27 +00:00 |
|
test_runner.zig
|
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)
|
2023-01-20 13:50:36 +00:00 |
|
testing.zig
|
Extend tests to handle all float types, preventing crashes with bfloat16 tensors.
|
2023-04-27 10:34:27 +00:00 |
|
tokenizer.zig
|
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.
|
2023-03-29 16:10:29 +00:00 |
|
torch.zig
|
Add multi‑axis, batched gatherValues support to tensor, shape, nn, quantization, and torch modules.
|
2023-01-18 12:03:48 +00:00 |
|
zml.zig
|
zml/nn: fix resize implementations (resizeBilinear and resizeBicubic) and expand refAllDecl usage; all tests pass
|
2023-01-27 14:35:11 +00:00 |