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b244a18621
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zml: set iota default dtype to .i32, with fallback to .i64 for axes with many elements, simplifying usage.
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2023-06-15 12:45:52 +00:00 |
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344e07fb6e
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stablehlo: extend dot_general API to include DotAlgorithm support by merging precision and algorithm attributes into a union, aligning with spec requirements. Currently not exposed to users due to limited algorithm support.
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2023-06-07 11:20:25 +00:00 |
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6d720126ac
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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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499b0d20e5
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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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2f54e2a5f3
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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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05faa5021e
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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.
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2023-05-17 09:01:27 +00:00 |
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fefd84b1bb
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Replace silu implementation with stablehlo.logistic for higher precision, move logistic logic into sigmoid and alias logistic to sigmoid (breaking change).
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2023-05-01 10:40:50 +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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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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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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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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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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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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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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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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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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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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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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