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477e13afd0
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Add missing zig_cc_binary import to the simple layer example in the documentation.
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2023-04-24 10:04:50 +00:00 |
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ed6444b775
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Add Tensor.concatenate support, begin deprecating broadcastLeft, and compute transformer head scaling constant in f32 for higher precision.
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2023-04-21 15:55:07 +00:00 |
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11006ca08d
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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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837f8fb111
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Add support for the Llama 3.1 70B Instruct model to facilitate testing on high‑performance accelerators.
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2023-04-19 10:23:44 +00:00 |
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fdb7da5c9b
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Introduce sharding attributes to Llama weights to enable Tensor Parallelism.
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2023-04-13 12:35:27 +00:00 |
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833ff5f28d
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Upgrade PJRT CUDA Plugin to version 0.2.3, adding NCCL support for correct sharding.
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2023-04-12 15:47:06 +00:00 |
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8e43a45a3c
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Add event waiting when invoking a module and improve multi‑device sharding handling.
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2023-04-11 11:32:09 +00:00 |
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0189b71070
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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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aea23c720e
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Update Llama example to use renamed zml.aio.Metadata (formerly Value) and reflect torch loader changes.
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2023-04-05 14:09:59 +00:00 |
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e25f70d923
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Rename and simplify modules in zml/aio/torch: replace redundant qualified names, remove generic utilities, inline code, reorder functions for top‑to‑bottom readability, and extract parsing logic into parseTensor and parseStorage functions.
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2023-04-04 17:20:53 +00:00 |
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66881899ca
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Fix testLayer by removing unnecessary compile_options argument and updating testing logic for new sharded output, ensuring proper usage by llama.zig.
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2023-03-31 14:23:45 +00:00 |
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05d23beb23
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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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ef922e3aea
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Fix empty JSON array handling in safetensor metadata loader and refactor torch loader (make ops slices const and improve readability).
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2023-03-28 16:17:00 +00:00 |
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aae37738a5
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Update loader example to demonstrate handling of empty JSON arrays and improved torch loader readability
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2023-03-22 14:52:33 +00:00 |
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a4f0fc96c0
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Integrate user sharding hints and HLO sharding annotations across MLIR dialects and ZML core, and remove the now‑unused module options arguments.
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2023-03-21 10:50:39 +00:00 |
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e30e35deeb
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Update benchmark example to use new user sharding hints and drop deprecated module options.
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2023-03-20 15:31:44 +00:00 |
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8746a5ce78
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Expose zml/test_runner.zig publicly to enable users to employ the async test runner. Made the dependency on zml explicit and suggest treating test_runner as a zig_library rather than a filegroup.
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2023-03-16 13:22:35 +00:00 |
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fe531aef06
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Clarify HuggingFace token handling in workspace, noting the standard CLI location and adding support for an environment variable.
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2023-03-14 15:28:03 +00:00 |
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cd2f2209d0
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Create token directory if it does not exist.
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2023-03-13 15:31:13 +00:00 |
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70d40208a2
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runtimes/cuda: Fix version variable definitions in the build script to enable successful CUDA builds.
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2023-03-09 11:31:02 +00:00 |
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7ef67eea27
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zml: Relocate tests next to the functions they verify and remove obsolete dynamicSlice1d test.
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2023-03-08 14:10:11 +00:00 |
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dfa71018a5
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zml: Remove pjrtx wrapper, migrate remaining helpers to their native modules, and fix blocking issue in Event.await.
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2023-03-06 17:05:56 +00:00 |
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0c126c2e12
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runtimes/cuda: Upgrade CUDA to 12.6.2 and cuDNN to 9.4.0.
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2023-03-03 15:17:26 +00:00 |
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f595d22134
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runtimes/rocm: Upgrade ROCm to version 6.2.2.
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2023-03-01 13:15:50 +00:00 |
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ecf52ad724
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zml.tokenizer: Implement proper byte fallback support by converting hex byte strings (e.g., “<0x40>”) to their characters and splitting unknown UTF‑8 codepoints into bytes, fixing tokenization.
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2023-02-28 14:40:25 +00:00 |
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2f129f76c9
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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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cad1a688da
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Add sharding usage to the benchmark and simple_layer example programs.
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2023-02-23 11:18:27 +00:00 |
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fc718ab649
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Add StableHLO bindings for versioning functions, enabling portable serialization of StableHLO.
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2023-02-22 15:41:33 +00:00 |
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8fa3878fc3
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PJRT: Add handling for rank‑0 case in getDimensions to avoid null pointer usage when num_dims is zero.
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2023-02-17 10:47:15 +00:00 |
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639f5cd994
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Replace log with select for generating the attention mask to avoid NaNs on zero values.
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2023-02-16 10:36:23 +00:00 |
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24a7c98476
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Implement scatterSlices functionality.
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2023-02-14 13:52:49 +00:00 |
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934acb35a8
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zml: initialize Tensor.min and Tensor.max reductions with proper extreme values to ensure correct results
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2023-02-10 12:28:41 +00:00 |
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be6328813d
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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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058e1415fa
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zml: deprecate buggy Tensor.chunk; introduce chunkExact and chunkAllowTrailing with clarified behavior
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2023-02-07 12:42:34 +00:00 |
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7e131a106b
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Update examples/MODULE.bazel.lock to reflect XLA version bump.
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2023-02-03 14:13:21 +00:00 |
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0606ea1d7c
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Update Bazel workspace and runtime BUILD files to newer XLA, StableHLO, and LLVM versions, enabling batching‑dims support for the gather operator.
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2023-02-01 15:58:30 +00:00 |
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897786e440
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aio: correct refAllDecls handling for yaml and nemo modules
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2023-01-31 11:58:58 +00:00 |
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7dcd8b516c
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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 |
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5e1688cbfd
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aio: refactor PyTorch model parsing for better readability and optimize slice handling
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2023-01-25 12:16:27 +00:00 |
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ebdb8db213
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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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f39b16e13d
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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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b961856e5f
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zml/tensor: correct typo in uniform comment ('substract' → 'subtract')
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2023-01-19 12:20:40 +00:00 |
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ccdf218961
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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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16e066ec69
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Add llama example demonstrating the new gatherValues functionality.
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2023-01-11 09:58:09 +00:00 |
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48b671f100
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Fix CollectionOver scope error in ActivationCollector and clean dead code/comments in zml_utils.py
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2023-01-10 09:43:03 +00:00 |
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04ad137417
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Update howto_torch2zml docs to explain why the output variable can be None.
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2023-01-09 17:05:09 +00:00 |
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fab1c93d5b
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docs: first model – fix const/var bug and enforce 80‑column width
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2023-01-06 10:34:44 +00:00 |
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eded305649
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Add initial documentation and example projects for ZML, covering how‑to guides, tutorials, and benchmark examples.
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2023-01-03 10:21:07 +00:00 |
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266da6d4be
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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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