Revisions of python-autoray
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request 1225090
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Dirk Mueller (dirkmueller)
(revision 27)
baserev update by copy to link target
Dirk Mueller (dirkmueller)
committed
(revision 26)
- update to 0.7.0: * prefer using `tensorflow.experimental.numpy` api over custom translations * add many more unit tests * move to `pyproject.toml` file * move to uv for CI setup * set python min version to 3.9 - Restrict numpy to < 2.
buildservice-autocommit
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request 1198017
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Dirk Mueller (dirkmueller)
(revision 25)
baserev update by copy to link target
Dirk Mueller (dirkmueller)
accepted
request 1197857
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Benjamin Greiner (bnavigator)
(revision 24)
- Unpin numpy 2 - Clean Build Requirements
buildservice-autocommit
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request 1186295
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Steve Kowalik (StevenK)
(revision 23)
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Steve Kowalik (StevenK)
committed
(revision 22)
- Restrict numpy to < 2.
buildservice-autocommit
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request 1178963
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Dirk Mueller (dirkmueller)
(revision 21)
baserev update by copy to link target
Dirk Mueller (dirkmueller)
committed
(revision 20)
- update to 0.6.12: * add `torch.indices` and `tensorflow.indices` - update to 0.6.11: * Fix creation functions with builtin `like` kwarg * Allow additional keyword arguments in `tensorflow_diag` - update to 0.6.10: * The following functions now inherit default `dtype` and possibly `device` (when using torch) when the `like` kwarg is an explicit array: * `"empty"` * `"eye"` * `"full"` * `"identity"` * `"ones"` * `"zeros"` * fix NumpyMimic special attribute access * fix `"diag"` for tensorflow.
buildservice-autocommit
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request 1165863
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Dirk Mueller (dirkmueller)
(revision 19)
baserev update by copy to link target
Dirk Mueller (dirkmueller)
committed
(revision 18)
- update to 0.6.9: * `autojit`: fix jax when kwargs are used * `autojit`: simplify torch and python compiler * torch: alias min/max to amin/amax
buildservice-autocommit
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request 1142773
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Dirk Mueller (dirkmueller)
(revision 17)
baserev update by copy to link target
Dirk Mueller (dirkmueller)
committed
(revision 16)
- update to 0.6.8: * Alias jax.scipy
buildservice-autocommit
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request 1124985
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Dirk Mueller (dirkmueller)
(revision 15)
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Dirk Mueller (dirkmueller)
committed
(revision 14)
- update to 0.6.7: * `lazy.einsum`: allow `cotengra` or `opt_einsum` for advanced parsing, fall back to basic when neither present * add `torch.expand_dims`. * **Full Changelog**: https://github.com/jcmgray/autoray/compare/v0.6.6...v0.6.7 * fix: matmul shape for lazy by @yangguohao in #16 - Initial package release.
buildservice-autocommit
accepted
request 1113556
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Matej Cepl (mcepl)
(revision 13)
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Matej Cepl (mcepl)
accepted
request 1113343
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jun wang (jgwang)
(revision 12)
- update to 0.6.6 * autoray.lazy: allow more functions to work on pytrees * Fix importlib import error and update tensorflow CI * add multi-dispatch for a few more relevant functions * change plot_history_functions default style to scatter * ensure composed function names are kept * add autoray.size * added docs * autoray.lazy.LazyArray support all fancy indexing * add experimental complexity cost tracing * fix: matmul shape for lazy by @yangguohao in #16
buildservice-autocommit
accepted
request 1079777
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Dirk Mueller (dirkmueller)
(revision 11)
baserev update by copy to link target
Dirk Mueller (dirkmueller)
committed
(revision 10)
- update to 0.6.3: * `autoray.lazy.compute`: allow computing multiple outputs simultaneously * `autoray.lazy.Function` allow pickling and viewing of uncompiled source * make sure `shape` and `ndim` work for builtins similarly to `numpy.{shape,ndim}` * Add: `autoray.lazy.where` function for `LazyArray` * Add: `autoray.lazy.take` function for `LazyArray` * Add`LazyArray.plot_history_stats` pie charts * Add `autoray.shape` and `autoray.ndim` as preferred shape functions * Add basic support for `aesara` * `LazyArray`: fix negative axis reductions * fix fancy indexing of `LazyArray` objects
buildservice-autocommit
accepted
request 1061196
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Dirk Mueller (dirkmueller)
(revision 9)
baserev update by copy to link target
Dirk Mueller (dirkmueller)
accepted
request 1061182
from
Benjamin Greiner (bnavigator)
(revision 8)
- Update to 0.6.0 * autoray.lazy: Much better tools for inspecting the computational graph: - LazyArray.show() - LazyArray.plot_circuit() - LazyArray.plot_history_functions() and variants - LazyArray.history_fn_frequencies * Global submodule aliases: - enables e.g. dispatching do("scipy.linalg.lu", x: numpy.ndarray) and cupy.scipy to cupyx.scipy * Fix for complex and builtins and newer numpy (#11). - Update to 0.5.3 * add lazy.diag * update infrastructure, including moving from versioneer to setuptools_scm - Release 0.5.1 * allow Composed.register to be used as a decorator - Release 0.3.2 * tweaks to compiler.py - No relevant release or tag notes for other releases since 0.2.5 - PEP517 build
Displaying revisions 1 - 20 of 27