author int64 658 755k | date stringdate 2012-06-12 08:34:29 2024-07-22 14:51:21 | timezone int64 -46,800 43.2k | hash stringlengths 40 40 | message stringlengths 5 490 | mods listlengths 1 16 | language stringclasses 20
values | license stringclasses 3
values | repo stringlengths 5 68 | original_message stringlengths 12 491 |
|---|---|---|---|---|---|---|---|---|---|
260,389 | 23.08.2019 11:02:19 | 25,200 | 7830cedea64b1f8b1db5c2dd2a07668361cac75d | batching rule for cond | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -164,7 +164,7 @@ def while_loop(cond_fun, body_fun, init_val):\nraise TypeError(msg.format(cond_tree))\nif cond_jaxpr.out_avals != [ShapedArray((), onp.bool_)]:\nmsg = \"cond_... | Python | Apache License 2.0 | google/jax | batching rule for cond
Co-authored-by: Matthew Johnson <mattjj@google.com> |
260,335 | 23.08.2019 15:47:42 | 25,200 | e66582e877df99b270d47fd22f5e1f048c242d9f | restore the behavior that Nones are pytrees | [
{
"change_type": "MODIFY",
"old_path": "jaxlib/pytree.cc",
"new_path": "jaxlib/pytree.cc",
"diff": "@@ -159,6 +159,7 @@ class PyTreeDef {\nprivate:\nenum class Kind {\nkLeaf, // An opaque leaf node\n+ kNone, // None.\nkTuple, // A tuple\nkNamedTuple, // A collections.namedtuple\nkList, // A list\n@@... | Python | Apache License 2.0 | google/jax | restore the behavior that Nones are pytrees |
260,403 | 23.08.2019 15:51:59 | 25,200 | dbb68bd13ae499c0951a450a2f80696cc63ec978 | be careful with params.pop | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -448,7 +448,7 @@ translations[ad_util.add_jaxvals_p] = add_jaxvals_translation_rule\ndef lower_fun(fun, instantiate=False, initial_style=False):\n\"\"\"Build a translation rule for a ... | Python | Apache License 2.0 | google/jax | be careful with params.pop |
260,335 | 23.08.2019 16:40:49 | 25,200 | 050ce59a42723f6c1bcb2115d1e95fca77120aa1 | fix an overzealous error message w/ const cond_fun | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -54,7 +54,7 @@ def _initial_style_jaxpr(fun, in_tree, in_avals):\nin_pvals = [pe.PartialVal((aval, core.unit)) for aval in in_avals]\nfun, out_tree = flatten_fun_nokwargs(lu.w... | Python | Apache License 2.0 | google/jax | fix an overzealous error message w/ const cond_fun |
260,403 | 23.08.2019 16:51:59 | 25,200 | ba572231691047d4713bd0b8715044249a0817be | fix last mistake | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -448,7 +448,7 @@ translations[ad_util.add_jaxvals_p] = add_jaxvals_translation_rule\ndef lower_fun(fun, instantiate=False, initial_style=False):\n\"\"\"Build a translation rule for a ... | Python | Apache License 2.0 | google/jax | fix last mistake |
260,445 | 23.08.2019 16:54:59 | 25,200 | b1604459efcb072a3cffa6f4a8c3aab646317bba | Clarify the intended purpose of tree_util.
Most importantly, this removes the initial paragraph which was easy to
misinterpret to imply that this module was not JAX-specific. | [
{
"change_type": "MODIFY",
"old_path": "jax/tree_util.py",
"new_path": "jax/tree_util.py",
"diff": "\"\"\"Utilities for working with tree-like container data structures.\n-The code here is independent of JAX. The only dependence is on jax.util, which\n-itself has no JAX-specific code.\n-\nThis modul... | Python | Apache License 2.0 | google/jax | Clarify the intended purpose of tree_util.
Most importantly, this removes the initial paragraph which was easy to
misinterpret to imply that this module was not JAX-specific. |
260,403 | 23.08.2019 17:29:30 | 25,200 | bd35ef23668fe0b38a7b9e3975a3650d7913777d | refactor backend check in central dispatch logic | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -234,6 +234,19 @@ def jaxpr_computation(jaxpr, backend, axis_env, const_vals, freevar_shapes, *arg\n*arg_shapes)\nreturn c.Build(c.Tuple(*out_nodes))\n+\n+def check_backend_params(par... | Python | Apache License 2.0 | google/jax | refactor backend check in central dispatch logic |
260,335 | 23.08.2019 17:05:32 | 25,200 | d700716e1909434aed41f7ca97d554d32be9017b | add option to disable rank-promotion broadcasting
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -27,12 +27,14 @@ from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n+from distutils.util import strtobool\nimport collection... | Python | Apache License 2.0 | google/jax | add option to disable rank-promotion broadcasting
fixes #1236 |
260,403 | 23.08.2019 18:39:26 | 25,200 | 229fdfe919e2bf517603018f20692d5beefd6828 | just say no to pop | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -140,7 +140,8 @@ def xla_primitive_callable(prim, *abstract_args, **params):\n@cache()\ndef primitive_computation(prim, *xla_shapes, **params):\n- backend = params.pop('backend', None... | Python | Apache License 2.0 | google/jax | just say no to pop |
260,403 | 23.08.2019 19:01:37 | 25,200 | ee2c6ccac768bbf5d5945544bc97f766badf09fb | uff actually finish last change | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -147,16 +147,16 @@ def primitive_computation(prim, *xla_shapes, **params):\nxla_args = map(c.ParameterWithShape, xla_shapes)\nif prim in backend_specific_translations[platform]:\nrule... | Python | Apache License 2.0 | google/jax | uff actually finish last change |
260,403 | 23.08.2019 21:41:55 | 25,200 | a57a1a3943aeaacd56e445fa47a122039dd27b0f | increase minimum jaxlib version and remove some janky feature detection | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -643,13 +643,7 @@ def _device_array_constant_handler(c, val, canonicalize_types=True):\nreturn c.Constant(onp.asarray(val), canonicalize_types=canonicalize_types)\nxb.register_constan... | Python | Apache License 2.0 | google/jax | increase minimum jaxlib version and remove some janky feature detection |
260,403 | 23.08.2019 23:42:08 | 25,200 | 91a23116013ff8a35d1ae7ce1f969711d05b0c2e | clean up multibackend tests | [
{
"change_type": "MODIFY",
"old_path": "tests/multibackend_test.py",
"new_path": "tests/multibackend_test.py",
"diff": "@@ -24,6 +24,7 @@ from absl.testing import parameterized\nimport numpy as onp\nimport numpy.random as npr\nimport six\n+from unittest import SkipTest\nfrom jax import api\nfrom jax... | Python | Apache License 2.0 | google/jax | clean up multibackend tests |
260,335 | 22.08.2019 09:22:57 | 25,200 | e90457d737ba287d46a063aff467f2079a92b722 | add dtype warnings to array-creation routines
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/__init__.py",
"new_path": "jax/lax/__init__.py",
"diff": "@@ -18,7 +18,7 @@ from .lax import (_reduce_sum, _reduce_max, _reduce_min, _reduce_or,\n_reduce_and, _reduce_window_sum, _reduce_window_max,\n_reduce_window_min, _reduce_window_prod, _float, _co... | Python | Apache License 2.0 | google/jax | add dtype warnings to array-creation routines
fixes #1230 |
260,335 | 25.08.2019 13:02:18 | 25,200 | 434d175381b653d8bb65e201b0a7babff091cbcb | fix device_constant instantiation bug, fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -656,4 +656,5 @@ def _instantiate_device_constant(const, device_num=0, cutoff=1e6):\ncompiled = c.Build(xla_const).Compile((), opts, backend=xb.get_backend())\nreturn compiled.Execute... | Python | Apache License 2.0 | google/jax | fix device_constant instantiation bug, fixes #1241 |
260,335 | 25.08.2019 14:28:53 | 25,200 | 3c2a73592c407a0a44d7df3273594a41fbd7ce4b | improve rank promotion warning, add doc page | [
{
"change_type": "MODIFY",
"old_path": "docs/index.rst",
"new_path": "docs/index.rst",
"diff": "@@ -15,6 +15,7 @@ For an introduction to JAX, start at the\nconcurrency\ngpu_memory_allocation\nprofiling\n+ rank_promotion_warning\n.. toctree::\n:maxdepth: 3\n"
},
{
"change_type": "ADD",
"o... | Python | Apache License 2.0 | google/jax | improve rank promotion warning, add doc page |
260,335 | 25.08.2019 14:36:23 | 25,200 | c6f430a83173ada92c3eaba675f3f7f4befdf0e5 | tweak rank promotion warning docs | [
{
"change_type": "MODIFY",
"old_path": "docs/rank_promotion_warning.rst",
"new_path": "docs/rank_promotion_warning.rst",
"diff": "@@ -24,6 +24,8 @@ allowed just like regular NumPy. The configuration option is named\n:code:`jax_numpy_rank_promotion` and it can take on string values\n:code:`allow`, :c... | Python | Apache License 2.0 | google/jax | tweak rank promotion warning docs |
260,335 | 25.08.2019 19:59:50 | 25,200 | f639b808c44cca35ebc27308a7821159a1d86a8a | instantiate zeros for custom vjp rules | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/ad.py",
"new_path": "jax/interpreters/ad.py",
"diff": "@@ -376,6 +376,7 @@ def defvjp_all(prim, custom_vjp):\ndef fun_lin_transpose(cts, *args, **kwargs):\nnum_res, trans_jaxpr = kwargs['num_res'], kwargs['trans_jaxpr']\nres, _ = split_list(ar... | Python | Apache License 2.0 | google/jax | instantiate zeros for custom vjp rules |
260,314 | 26.08.2019 01:32:18 | 14,400 | 28df8a666b8c99f7ea46842e9b8fc7ca81e0b6c9 | cast float64 to canonical dtype in np.cov | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -2729,7 +2729,7 @@ def cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None,\nif m.ndim > 2:\nraise ValueError(\"m has more than 2 dimensions\") # same as numpy error\n- X =... | Python | Apache License 2.0 | google/jax | cast float64 to canonical dtype in np.cov |
260,335 | 26.08.2019 12:35:39 | 25,200 | 94b1dda42ff5ade2a287341bb06c144d38ce837e | fix notebook link (fixes | [
{
"change_type": "MODIFY",
"old_path": "README.md",
"new_path": "README.md",
"diff": "@@ -92,7 +92,7 @@ And for a deeper dive into JAX:\n- [The Autodiff Cookbook, Part 1: easy and powerful automatic differentiation in JAX](https://colab.research.google.com/github/google/jax/blob/master/notebooks/aut... | Python | Apache License 2.0 | google/jax | fix notebook link (fixes #1252) |
260,335 | 26.08.2019 13:38:08 | 25,200 | 6a81d81d9b8e752c2a983f151eb947ecfe08dd54 | fix for custom-transforms vjp nones bug | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1481,7 +1481,7 @@ def defvjp_all(fun, custom_vjp):\ncts = tree_unflatten(out_tree, cts_flat)\nargs_cts_flat, in_tree2 = tree_flatten(vjp(cts))\nassert in_tree == in_tree2\n- return [None] * num_consts + list(... | Python | Apache License 2.0 | google/jax | fix for custom-transforms vjp nones bug
Co-authored-by: Dougal Maclaurin <dougalm@google.com> |
260,335 | 26.08.2019 14:05:17 | 25,200 | dbe56c30ac6fdc84b2729c4790ad160474081f64 | leave todos for better error messages | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1476,11 +1476,11 @@ def defvjp_all(fun, custom_vjp):\nargs = tree_unflatten(params['in_tree'], args_flat)\nout, vjp = custom_vjp(*args)\nout_flat, out_tree = tree_flatten(out)\n- assert out_tree == params['ou... | Python | Apache License 2.0 | google/jax | leave todos for better error messages |
260,335 | 27.08.2019 11:21:50 | 25,200 | 1cd37bd97707ef660d4e7fdcd8147baf69060e9c | reset jax_numpy_rank_promotion to "allow" default | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -53,7 +53,7 @@ from ..lib import xla_client\nFLAGS = flags.FLAGS\nflags.DEFINE_enum(\n- 'jax_numpy_rank_promotion', os.getenv('JAX_NUMPY_RANK_PROMOTION', 'warn'),\n+ 'jax_numpy_rank_pro... | Python | Apache License 2.0 | google/jax | reset jax_numpy_rank_promotion to "allow" default |
260,335 | 27.08.2019 15:56:45 | 25,200 | fd9e0333a6430bb06bd7a0c9faa650c66fdf2a21 | add try/finally to pxla global state management | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/parallel.py",
"new_path": "jax/interpreters/parallel.py",
"diff": "@@ -16,7 +16,6 @@ from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n-from contextlib import contextmanager\nfrom f... | Python | Apache License 2.0 | google/jax | add try/finally to pxla global state management |
260,646 | 28.08.2019 03:37:15 | 0 | 9d4fab5c8fc0cfaecc47133e8f4d1ee2a1a0f19a | Pass check_vjp, add VJP grad and Jac, use fun(y0, t, *args) syntax | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/ode.py",
"new_path": "jax/experimental/ode.py",
"diff": "@@ -18,6 +18,8 @@ Integrate systems of ordinary differential equations (ODEs) using the JAX\nautograd/diff library and the Dormand-Prince method for adaptive integration\nstepsize calcul... | Python | Apache License 2.0 | google/jax | Pass check_vjp, add VJP grad and Jac, use fun(y0, t, *args) syntax |
260,268 | 29.08.2019 19:18:50 | 25,200 | 4ceebcf4065405e31ba978e134f941bb74bb7852 | with vectorize | [
{
"change_type": "ADD",
"old_path": null,
"new_path": "jax/experimental/vectorize.py",
"diff": "+from jax import grad, jit, vmap\n+import jax.numpy as jnp\n+import numpy as np\n+import re\n+\n+# See http://docs.scipy.org/doc/numpy/reference/c-api.generalized-ufuncs.html\n+_DIMENSION_NAME = r'\\w+'\n... | Python | Apache License 2.0 | google/jax | with vectorize |
260,314 | 29.08.2019 22:28:03 | 14,400 | 92d85a8962c8582f06f207802ef86285bf103e83 | fix cond batching rule issues | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -38,6 +38,7 @@ from jax.interpreters import xla\nfrom jax.interpreters import ad\nfrom jax.lib import xla_bridge as xb\nfrom jax.lib import xla_client\n+import jax.numpy as np... | Python | Apache License 2.0 | google/jax | fix cond batching rule issues |
260,314 | 30.08.2019 00:21:50 | 14,400 | 16bd27258d01aa28a55c1d3771a6b6b82aa8f475 | use lax instead of numpy to avoid circular import | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -38,7 +38,6 @@ from jax.interpreters import xla\nfrom jax.interpreters import ad\nfrom jax.lib import xla_bridge as xb\nfrom jax.lib import xla_client\n-import jax.numpy as np... | Python | Apache License 2.0 | google/jax | use lax instead of numpy to avoid circular import |
260,268 | 30.08.2019 20:36:54 | 0 | 54f28ed5bcf470aa472e869e82aca33708399b36 | fixing issues with tests | [
{
"change_type": "MODIFY",
"old_path": "tests/vectorize_test.py",
"new_path": "tests/vectorize_test.py",
"diff": "@@ -64,7 +64,7 @@ class VectorizeTest(jtu.JaxTestCase):\n]))\ndef test_matmat(self, left_shape, right_shape, result_shape):\nself.assertEqual(matmat(np.zeros(left_shape),\n- np.zeros(rig... | Python | Apache License 2.0 | google/jax | fixing issues with tests |
260,268 | 30.08.2019 22:46:26 | 0 | e6854009a83ed83bcf21520c760a2f4df5ca8fac | Changed axis kwarg in wrapper for py2 compat. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/vectorize.py",
"new_path": "jax/experimental/vectorize.py",
"diff": "@@ -252,7 +252,8 @@ def vectorize(signature):\ndef decorator(func):\n@functools.wraps(func)\n- def wrapper(*args, axis=None):\n+ def wrapper(*args, **kwargs):\n+ axis = kwarg... | Python | Apache License 2.0 | google/jax | Changed axis kwarg in wrapper for py2 compat. |
260,677 | 31.08.2019 02:13:12 | -3,600 | ae2c39d081d29b6abe8eefff5c755f0f0abaad57 | Added custom jvp for np.linalg.det
For faster gradient computation for determinants, added closed-form expressing for Jacobian-vector product. Still needs a test. | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/linalg.py",
"new_path": "jax/numpy/linalg.py",
"diff": "@@ -86,9 +86,11 @@ def slogdet(a):\n@_wraps(onp.linalg.det)\n+@custom_transforms\ndef det(a):\nsign, logdet = slogdet(a)\nreturn sign * np.exp(logdet)\n+defjvp(det, lambda g, ans, x: np.trace(np... | Python | Apache License 2.0 | google/jax | Added custom jvp for np.linalg.det
For faster gradient computation for determinants, added closed-form expressing for Jacobian-vector product. Still needs a test. |
260,677 | 31.08.2019 03:18:24 | -3,600 | 1c264db3a35c92cf987bc588a37f6b9a0dbc1177 | Slightly cleaner implementation of jvp for det
Replaced np.dot/np.linalg.inv with a single np.linalg.solve | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/linalg.py",
"new_path": "jax/numpy/linalg.py",
"diff": "@@ -90,7 +90,7 @@ def slogdet(a):\ndef det(a):\nsign, logdet = slogdet(a)\nreturn sign * np.exp(logdet)\n-defjvp(det, lambda g, ans, x: np.trace(np.dot(g, np.linalg.inv(x)))*ans)\n+defjvp(det, l... | Python | Apache License 2.0 | google/jax | Slightly cleaner implementation of jvp for det
Replaced np.dot/np.linalg.inv with a single np.linalg.solve |
260,335 | 29.08.2019 20:25:02 | 25,200 | 478832c944e03f9df12ab0428965878e07c255f8 | avoid Calls inside While/Cond
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -491,22 +491,21 @@ xla_pmap = partial(core.call_bind, xla_pmap_p)\nxla_pmap_p.def_custom_bind(xla_pmap)\nxla_pmap_p.def_impl(xla_pmap_impl)\n-def _xla_pmap_translation_rule(c, jaxpr... | Python | Apache License 2.0 | google/jax | avoid Calls inside While/Cond
fixes #1267 |
260,335 | 29.08.2019 22:21:31 | 25,200 | 2815c55bb1bcc42bfc9fb28d8549100dd7b6cd2e | switch rolled/unrolled loops in prng hash | [
{
"change_type": "MODIFY",
"old_path": "jax/random.py",
"new_path": "jax/random.py",
"diff": "@@ -127,19 +127,54 @@ def threefry_2x32(keypair, count):\nonp.array([17, 29, 16, 24], dtype=onp.uint32)]\nks = [key1, key2, key1 ^ key2 ^ onp.uint32(0x1BD11BDA)]\n- def rotate_list(xs):\n- return xs[1:] + [... | Python | Apache License 2.0 | google/jax | switch rolled/unrolled loops in prng hash |
260,335 | 31.08.2019 08:04:51 | 25,200 | c0627d81c34489e41b61616c5073afa0cfc6922e | remove jaxlib import (broke google3 pulldown) | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -39,7 +39,6 @@ from ..lib import xla_bridge as xb\nfrom ..lib import xla_client as xc\nfrom . import partial_eval as pe\nfrom . import ad\n-import jaxlib\nFLAGS = flags.FLAGS\nflags.D... | Python | Apache License 2.0 | google/jax | remove jaxlib import (broke google3 pulldown) |
260,335 | 31.08.2019 12:51:21 | 25,200 | f5c152b71b75424fbe181a8e0c54df6edcdfb71d | if we hit an XLA Build error, it's a JAX bug | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -162,9 +162,10 @@ def primitive_computation(prim, *xla_shapes, **params):\ntry:\nreturn c.Build()\nexcept RuntimeError as e:\n- # try for a better error message by using the abstract_... | Python | Apache License 2.0 | google/jax | if we hit an XLA Build error, it's a JAX bug |
260,335 | 31.08.2019 21:23:39 | 25,200 | 422585716635fde8ae1f5664a43b61245352a96f | add special value grad tests, sinh failing | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_test.py",
"new_path": "tests/lax_test.py",
"diff": "@@ -1399,6 +1399,18 @@ class LaxTest(jtu.JaxTestCase):\napi.jit(f)(1.) # doesn't crash\n+ def testReshapeWithUnusualShapes(self):\n+ ans = lax.reshape(onp.ones((3,), onp.float32), (lax.add(1, 2), 1)... | Python | Apache License 2.0 | google/jax | add special value grad tests, sinh failing |
260,335 | 31.08.2019 22:08:03 | 25,200 | cac042c34a55ad8683828e1d24dabc2c5bb485ac | move asinh/acosh/atanh to lax_numpy.py only | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.lax.rst",
"new_path": "docs/jax.lax.rst",
"diff": "@@ -26,11 +26,8 @@ Operators\nabs\nadd\nacos\n- acosh\nasin\n- asinh\natan\n- atanh\natan2\nbatch_matmul\nbitcast_convert_type\n"
},
{
"change_type": "MODIFY",
"old_path": "jax/lax/__init_... | Python | Apache License 2.0 | google/jax | move asinh/acosh/atanh to lax_numpy.py only |
260,335 | 02.09.2019 07:25:06 | 25,200 | c760b05f9bffa3b6b79beaa54d6848fde2eee149 | update jaxlib version in readme
fixes
will update notebooks in | [
{
"change_type": "MODIFY",
"old_path": "README.md",
"new_path": "README.md",
"diff": "@@ -122,7 +122,7 @@ PYTHON_VERSION=cp37 # alternatives: cp27, cp35, cp36, cp37\nCUDA_VERSION=cuda92 # alternatives: cuda90, cuda92, cuda100\nPLATFORM=linux_x86_64 # alternatives: linux_x86_64\nBASE_URL='https://sto... | Python | Apache License 2.0 | google/jax | update jaxlib version in readme
fixes #1297
will update notebooks in #1260 |
260,335 | 02.09.2019 07:47:56 | 25,200 | a0095e346e847190f90cdb1107ed8ac84e6222b5 | reviewer comments: no 'install' text needed | [
{
"change_type": "MODIFY",
"old_path": "notebooks/Common_Gotchas_in_JAX.ipynb",
"new_path": "notebooks/Common_Gotchas_in_JAX.ipynb",
"diff": "\"colab_type\": \"text\"\n},\n\"source\": [\n- \"### Installs and Imports\"\n+ \"### Imports\"\n]\n},\n{\n"
},
{
"change_type": "MODIFY",
"old_pat... | Python | Apache License 2.0 | google/jax | reviewer comments: no 'install' text needed |
260,335 | 02.09.2019 07:55:25 | 25,200 | c52027691b4651e8b43fd8147866f3ac95690cbd | jax.numpy.stack and concatenate work on array args
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1352,7 +1352,7 @@ def pad(array, pad_width, mode='constant', constant_values=0):\n@_wraps(onp.stack)\ndef stack(arrays, axis=0):\n- if not arrays:\n+ if not len(arrays):\nraise ValueEr... | Python | Apache License 2.0 | google/jax | jax.numpy.stack and concatenate work on array args
fixes #1271 |
260,646 | 30.08.2019 22:23:11 | 0 | 3427d2cb20abdc01b4398036285d89f2894eb6f1 | Add `build_odeint` for odeint VJP setup, plus a test | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/ode.py",
"new_path": "jax/experimental/ode.py",
"diff": "@@ -35,6 +35,7 @@ from jax.flatten_util import ravel_pytree\nimport jax.lax\nimport jax.numpy as np\nimport jax.ops\n+from jax.test_util import check_vjp\nimport matplotlib.pyplot as plt... | Python | Apache License 2.0 | google/jax | Add `build_odeint` for odeint VJP setup, plus a test |
260,335 | 23.08.2019 10:28:27 | 25,200 | 5879dbc223609ef37427e89a6ba9bb5bc3206242 | trying out ideas | [
{
"change_type": "ADD",
"old_path": null,
"new_path": "mask.py",
"diff": "+from functools import partial\n+import operator\n+\n+import numpy as onp\n+\n+from jax import core\n+from jax.core import Trace, Tracer\n+from jax.util import unzip2, prod\n+from jax import linear_util as lu\n+from jax.abstra... | Python | Apache License 2.0 | google/jax | trying out ideas
Co-authored-by: Dougal Maclaurin <dougalm@google.com> |
260,335 | 27.08.2019 17:09:55 | 25,200 | f5ee804a6f679ac715ab37b93adb521c708c1fcc | fix bug in scan masking rule | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -133,13 +133,13 @@ def scan_masking_rule(shape_env, vals, shape_exprs, forward, length, jaxpr,\nconst_shapes, init_shapes, xs_shapes = split_list(shape_exprs, [num_consts, num_carry])\n_, y_avals = split_list(jaxpr.... | Python | Apache License 2.0 | google/jax | fix bug in scan masking rule |
260,335 | 27.08.2019 17:32:21 | 25,200 | bd86d41abbbc5fafb9b06142fe2ff54268ed0e7c | add flattening, jit test | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -7,6 +7,7 @@ import numpy as onp\nfrom jax import core\nfrom jax.core import Trace, Tracer\nfrom jax.util import unzip2, prod, safe_map, safe_zip, split_list\n+from jax.api_util import tree_flatten, tree_unflatten, ... | Python | Apache License 2.0 | google/jax | add flattening, jit test |
260,335 | 27.08.2019 18:25:29 | 25,200 | 9bd5d37aae18c890e5bdf3c818bca516913f6d1b | split shape rules and masking rules | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -42,6 +42,8 @@ class ShapeExpr(object):\nself.shape = tuple(shape)\ndef __iter__(self):\nreturn iter(self.shape)\n+ def __getitem__(self, idx):\n+ return list(self)[idx]\ndef __repr__(self):\nreturn 'ShapeExpr({})'.... | Python | Apache License 2.0 | google/jax | split shape rules and masking rules |
260,335 | 27.08.2019 21:43:56 | 25,200 | 75eb9b2ee46054bb5a7a2a578bfb36ed87c43d02 | add part of a dot masking rule | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -131,17 +131,46 @@ def reduce_sum_masking_rule(padded_vals, logical_shapes, axes, input_shape):\nmasking_rules[lax.reduce_sum_p] = reduce_sum_masking_rule\n-def add_shape_rule(shape_exprs):\n+def defbinop(prim):\n+ ... | Python | Apache License 2.0 | google/jax | add part of a dot masking rule |
260,335 | 28.08.2019 07:05:55 | 25,200 | cf637fd484764b2390541e6b5dc48e77fc7517de | note next steps | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -359,3 +359,10 @@ print(onp.dot(x[:2, :2], y[:2, :2]))\n# - we should probably pass the max size explicitly rather than getting it off\n# the values, e.g. the iota problem, should think of it as an independent type\... | Python | Apache License 2.0 | google/jax | note next steps |
260,335 | 28.08.2019 07:09:58 | 25,200 | 983b83f1c2be1a738828db952d87a5e92cebede8 | todo: test setup | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -362,6 +362,7 @@ print(onp.dot(x[:2, :2], y[:2, :2]))\n# next steps:\n+# 0. generic test setup\n# 1. clean up shape expression language (maybe handle reshape/conat)\n# 2. write example colab with two applications:\n... | Python | Apache License 2.0 | google/jax | todo: test setup |
260,335 | 28.08.2019 18:39:54 | 25,200 | 976ff5f010caded8c1125f286ebc418f24305d46 | try out a ShapeExpr with polynomials | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -705,7 +705,7 @@ def scan_bind(*args, **kwargs):\nxs_avals = _map(partial(_promote_aval_rank, length), x_avals)\nassert all(_map(typecheck, consts_avals, consts))\nassert all(... | Python | Apache License 2.0 | google/jax | try out a ShapeExpr with polynomials |
260,335 | 30.08.2019 09:31:21 | 25,200 | a609ae7071ed088af3c40d438da7e0ba587d11e3 | set up a small shape language | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -4,6 +4,7 @@ from collections import defaultdict, Counter\nfrom functools import partial\nimport itertools as it\nimport operator as op\n+import string\nimport numpy as onp\nimport six\n@@ -46,27 +47,26 @@ def mask_... | Python | Apache License 2.0 | google/jax | set up a small shape language |
260,335 | 30.08.2019 16:06:43 | 25,200 | fbc85af54f654e5f8489f8220c3b8d0f4a94d0f5 | made polymorphic jaxprs, reshape fail | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -580,7 +580,8 @@ def reshape(operand, new_sizes, dimensions=None):\n<https://www.tensorflow.org/xla/operation_semantics#reshape>`_\noperator.\n\"\"\"\n- new_sizes = _canonicalize_shape(new_sizes)\n+ # ... | Python | Apache License 2.0 | google/jax | made polymorphic jaxprs, reshape fail |
260,335 | 30.08.2019 18:03:18 | 25,200 | 20299270a38bc49a15534bc8ca4563f940fe0653 | concat is cool (packed not striped) | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -102,12 +102,13 @@ class ShapeError(Exception): pass\n# data Dim = Id Str\n# | Lit Int\n# | Mul Dim Dim\n+# | Add Dim Dim\n# We'll also make a simple concrete syntax for annotation. The grammar is\n#\n# shape_spec :... | Python | Apache License 2.0 | google/jax | concat is cool (packed not striped) |
260,335 | 30.08.2019 18:26:41 | 25,200 | f4d6591ff34bd0814fca04600f46503fb9fc0253 | revive dot example | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "@@ -114,7 +114,7 @@ def parse_spec(spec=''):\nif not spec:\nreturn ShapeExpr(())\nif spec[0] == '(':\n- if spec[-1] != ')': raise SyntaxError\n+ if spec[-1] != ')': raise SyntaxError(spec)\nspec = spec[1:-1]\ndims = ma... | Python | Apache License 2.0 | google/jax | revive dot example |
260,335 | 30.08.2019 21:35:56 | 25,200 | e12c8b0340e5508d16cc5d370ce8244e757eb7d6 | experiments in import-time shape checking | [
{
"change_type": "MODIFY",
"old_path": "mask.py",
"new_path": "mask.py",
"diff": "from __future__ import print_function\nfrom collections import defaultdict, Counter, namedtuple\n-from functools import partial\n+from functools import partial, wraps\nimport itertools as it\nimport operator as op\nimp... | Python | Apache License 2.0 | google/jax | experiments in import-time shape checking |
260,335 | 03.09.2019 17:18:23 | 25,200 | 96b8bb2d4dffecd805b9b733a75d4f6056b94369 | fix lax._canonicalize_shape for ShapeExprs | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -81,6 +81,9 @@ def _canonicalize_shape(shape):\nReturns:\nA tuple of integers.\n\"\"\"\n+ # TODO(mattjj): this next check is a temporary workaround for masking\n+ if type(shape) is ShapeExpr or any(typ... | Python | Apache License 2.0 | google/jax | fix lax._canonicalize_shape for ShapeExprs |
260,335 | 03.09.2019 21:56:45 | 25,200 | c3db5d71a7ddbfb9e0e632809ac445c3c40f158d | fix dtype issue, python3 issue, sorting issue | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/masking.py",
"new_path": "jax/interpreters/masking.py",
"diff": "@@ -99,6 +99,12 @@ class Mon(Counter): # type Mon = Map Id Int -- ids to degrees\nreturn ' '.join('{}**{}'.format(k, v) if v != 1 else str(k)\nfor k, v in sorted(self.items()))\n... | Python | Apache License 2.0 | google/jax | fix dtype issue, python3 issue, sorting issue |
260,677 | 05.09.2019 15:22:36 | -3,600 | b819bff1d3afe74320eba451dd3d79fc6854c8d6 | Imports for custom_transforms and defjvp
Can't really do this if we don't have the right imports... | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/linalg.py",
"new_path": "jax/numpy/linalg.py",
"diff": "@@ -27,6 +27,7 @@ from .. import lax_linalg\nfrom .lax_numpy import _not_implemented\nfrom .lax_numpy import _wraps\nfrom . import lax_numpy as np\n+from ..api import custom_transforms, defjvp\n... | Python | Apache License 2.0 | google/jax | Imports for custom_transforms and defjvp
Can't really do this if we don't have the right imports... |
260,309 | 05.09.2019 15:10:48 | 25,200 | 8f5cfef407ccd9aa8bf6c1cc4d4d6d24af434b2b | improve numerical stability of softplus grads | [
{
"change_type": "MODIFY",
"old_path": "jax/nn/functions.py",
"new_path": "jax/nn/functions.py",
"diff": "@@ -28,7 +28,7 @@ from jax import jarrett\n# activations\ndef relu(x): return np.maximum(x, 0)\n-def softplus(x): return np.logaddexp(x, 0)\n+def softplus(x): return np.log1p(np.exp(x))\ndef sof... | Python | Apache License 2.0 | google/jax | improve numerical stability of softplus grads |
260,296 | 06.09.2019 20:30:30 | 25,200 | dbea4b6f976d9963854017bb5f5c30d84a27c022 | Fix typos
Hit these when trying to debug NaNs, appear to be just typos. | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -197,7 +197,7 @@ def compile_jaxpr(jaxpr, device_assignment, backend, axis_env, const_vals, *abst\nif axis_env.nreps > xb.device_count(backend):\nmsg = (\"compiling computation that r... | Python | Apache License 2.0 | google/jax | Fix typos
Hit these when trying to debug NaNs, appear to be just typos. |
260,296 | 06.09.2019 20:47:02 | 25,200 | 302dcc7e741ba18176ffaa92aefddbb44277b412 | Fix `check_nans` method | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -174,12 +174,12 @@ def _execute_compiled_primitive(prim, compiled, backend, result_handler, *args):\nif FLAGS.jax_debug_nans: check_nans(prim, out_buf)\nreturn result_handler(out_buf)... | Python | Apache License 2.0 | google/jax | Fix `check_nans` method |
260,554 | 08.09.2019 14:19:10 | 25,200 | 6f2d22fddfee26cdb1952d4589d568bbfeac5021 | Tiny change to enable vmap with dimension numbers. | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -2526,7 +2526,6 @@ def _reshape_batch_rule(batched_args, batch_dims, new_sizes, dimensions, **unuse\nbdim, = batch_dims\noperand = batching.moveaxis(operand, bdim, 0)\nif dimensions is not None:\n- rai... | Python | Apache License 2.0 | google/jax | Tiny change to enable vmap with dimension numbers. |
260,646 | 09.09.2019 19:54:10 | 0 | bcad02ff8a3aa6b60d88786614fd8d123e1baf36 | Remove 64-bit mode for GPU performance | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/ode.py",
"new_path": "jax/experimental/ode.py",
"diff": "@@ -30,7 +30,6 @@ import functools\nimport time\nimport jax\n-from jax.config import config\nfrom jax.flatten_util import ravel_pytree\nimport jax.lax\nimport jax.numpy as np\n@@ -40,8 +... | Python | Apache License 2.0 | google/jax | Remove 64-bit mode for GPU performance |
260,335 | 09.09.2019 17:47:15 | 25,200 | 74f6269ee945276ccc3fdaf7089cce3638a3bc18 | make jvp only form JVPTracers with nonzero tangent
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/ad.py",
"new_path": "jax/interpreters/ad.py",
"diff": "@@ -61,7 +61,9 @@ def jvp_subtrace(master, primals, tangents):\nfor x in list(primals) + list(tangents):\nif isinstance(x, Tracer):\nassert x.trace.level < trace.level\n- ans = yield map(p... | Python | Apache License 2.0 | google/jax | make jvp only form JVPTracers with nonzero tangent
fixes #1316 |
260,403 | 10.09.2019 23:25:12 | 25,200 | 53d4283df5327474da0b8f88daead556042039d9 | fix xla shape-checking error message | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -162,7 +162,7 @@ def primitive_computation(prim, *xla_shapes, **params):\ntry:\nreturn c.Build()\nexcept RuntimeError as e:\n- msg = (e.message + \"\\n\"\n+ msg = (\" \".join(map(str,... | Python | Apache License 2.0 | google/jax | fix xla shape-checking error message |
260,335 | 11.09.2019 06:01:32 | 25,200 | 6f0e244e9abf949ee2a0f801f36a3b15a1b28d5e | fix vmap-of-pmap bug
thanks and | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/batching.py",
"new_path": "jax/interpreters/batching.py",
"diff": "@@ -139,10 +139,11 @@ class BatchTrace(Trace):\nis_batched = tuple(d is not not_mapped for d in dims)\nvals = [moveaxis(x, d, 1) if d is not not_mapped and d != 1 else x\nfor x... | Python | Apache License 2.0 | google/jax | fix vmap-of-pmap bug
thanks @romanngg and @inoryy |
260,335 | 11.09.2019 06:22:25 | 25,200 | 37323c13ff3abbc8e140142755de809249d2cbff | check output shape in testVmapOfPmap2 | [
{
"change_type": "MODIFY",
"old_path": "tests/pmap_test.py",
"new_path": "tests/pmap_test.py",
"diff": "@@ -488,7 +488,8 @@ class PmapTest(jtu.JaxTestCase):\nkeys = np.broadcast_to(keys, (N_DEVICES,) + keys.shape)\nreturn g(keys)\n- s(keys)\n+ ans = s(keys) # doesn't crash\n+ self.assertEqual(ans.sh... | Python | Apache License 2.0 | google/jax | check output shape in testVmapOfPmap2 |
260,403 | 11.09.2019 14:15:38 | 25,200 | 4ee28cf95af6d59731725e5b4bd2ba462e013db0 | Make pxla.axis_index return signed indices for type compatibility with other jax indices. | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -274,15 +274,19 @@ def _axis_index_partial_eval(trace, _, **params):\n# This partial_eval rule adds the axis_index primitive into the jaxpr formed\n# during pmap lowering. It is lik... | Python | Apache License 2.0 | google/jax | Make pxla.axis_index return signed indices for type compatibility with other jax indices. |
260,335 | 29.08.2019 14:29:49 | 25,200 | 0c3e9ce22a3f79139738376ab294f9649b9261b4 | sketch of root w/ parameterized solvers | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -822,3 +822,27 @@ def _memcpy(axis, num, src, dst, offset):\nreturn fori_loop(0, num, body, dst)\nmasking.masking_rules[lax.concatenate_p] = _concat_masking_rule\n+\n+\n+def r... | Python | Apache License 2.0 | google/jax | sketch of root w/ parameterized solvers
Co-authored-by: Stephan Hoyer <shoyer@google.com> |
260,677 | 14.09.2019 14:30:45 | -3,600 | c2750c1be91a9e5f68c29ff92a5c95f07fa47006 | Extended jvp for det to handle inputs with >2 dims | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/linalg.py",
"new_path": "jax/numpy/linalg.py",
"diff": "@@ -86,12 +86,16 @@ def slogdet(a):\nreturn sign, np.real(logdet)\n+def _jvp_det(g, ans, x):\n+ return np.trace(np.linalg.solve(x, g), axis1=-1, axis2=-2)*ans\n+\n+\n@_wraps(onp.linalg.det)\n@cu... | Python | Apache License 2.0 | google/jax | Extended jvp for det to handle inputs with >2 dims |
260,677 | 14.09.2019 14:35:27 | -3,600 | 0171eb7c68fc80c38a8f2eacd6ad48c3a7976631 | Replace jvp for det with jvp for slogdet | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/linalg.py",
"new_path": "jax/numpy/linalg.py",
"diff": "@@ -60,7 +60,14 @@ def svd(a, full_matrices=True, compute_uv=True):\nreturn lax_linalg.svd(a, full_matrices, compute_uv)\n+def _jvp_slogdet(g, ans, x):\n+ jvp_sign = np.zeros(x.shape[:-2])\n+ jv... | Python | Apache License 2.0 | google/jax | Replace jvp for det with jvp for slogdet |
260,335 | 15.09.2019 08:45:58 | 25,200 | 5b6b72c2fb38c331199afef391a498662d4565f7 | fix broadcasting bug in rem jvp, fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -1725,7 +1725,7 @@ ad.primitive_transposes[div_p] = _div_transpose_rule\nrem_p = standard_binop([_num, _num], 'rem')\nad.defjvp(rem_p,\nlambda g, x, y: _brcast(g, y),\n- lambda g, x, y: mul(neg(g), flo... | Python | Apache License 2.0 | google/jax | fix broadcasting bug in rem jvp, fixes #1350 |
260,335 | 15.09.2019 09:24:00 | 25,200 | e945c9c11eb8b00d7c5fa80b472c181950aed946 | add some 'manual' lax.rem autodiff tests | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_test.py",
"new_path": "tests/lax_test.py",
"diff": "@@ -1501,8 +1501,6 @@ LAX_GRAD_OPS = [\ndtypes=[onp.float64]),\ngrad_test_spec(lax.round, nargs=1, order=2, rng=jtu.rand_default(),\ndtypes=[onp.float64]),\n- # grad_test_spec(lax.rem, nargs=2, orde... | Python | Apache License 2.0 | google/jax | add some 'manual' lax.rem autodiff tests |
260,335 | 11.09.2019 21:57:54 | 25,200 | 78c70ecd0ccacc64531ddc22f2eab161bd0218fc | add dynamic shape envs | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -872,22 +872,25 @@ def _parallelize(fun):\ndef mask(fun, in_shapes, out_shape):\n- in_shapes_flat, in_shapes_tree = tree_flatten(in_shapes)\n- out_shapes_flat, out_shapes_tree = tree_flatten(out_shape)\n+ in_s... | Python | Apache License 2.0 | google/jax | add dynamic shape envs |
260,335 | 13.09.2019 14:36:33 | 25,200 | 283299649b6cb82cda846350b973105f5a4aded7 | add a 'monomorphic dim' symbol, bug fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -60,7 +60,7 @@ from .interpreters import ad\nfrom .interpreters import batching\nfrom .interpreters import parallel\nfrom .interpreters import masking\n-from .interpreters.masking import Shape, s_, shapecheck\... | Python | Apache License 2.0 | google/jax | add a 'monomorphic dim' symbol, bug fixes |
260,335 | 13.09.2019 16:30:22 | 25,200 | b71181d3c08eb3c89403e14068843aeb401144ad | start writing nesting test | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/masking.py",
"new_path": "jax/interpreters/masking.py",
"diff": "@@ -55,10 +55,16 @@ def extend_shape_envs(logical_env, padded_env):\nshape_envs = prev\ndef shape_as_value(expr):\n+ if type(expr) is ShapeExpr:\nreturn eval_shape_expr(shape_env... | Python | Apache License 2.0 | google/jax | start writing nesting test |
260,335 | 15.09.2019 14:11:15 | 25,200 | 6e22b418e3b625efa5b58a41b29c84476dbca486 | skip problematic tests on tpu | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_numpy_indexing_test.py",
"new_path": "tests/lax_numpy_indexing_test.py",
"diff": "@@ -856,6 +856,7 @@ class IndexedUpdateTest(jtu.JaxTestCase):\nfor update_shape in _broadcastable_shapes(_update_shape(shape, indexer))\nfor update_dtype in ([dtype] if... | Python | Apache License 2.0 | google/jax | skip problematic tests on tpu |
260,677 | 16.09.2019 21:27:55 | -3,600 | 3e5f7869eaaeab1691f4b3c843c53f8d19bd0bab | Fixed prefix for np.linalg.solve | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/linalg.py",
"new_path": "jax/numpy/linalg.py",
"diff": "@@ -62,7 +62,7 @@ def svd(a, full_matrices=True, compute_uv=True):\ndef _jvp_slogdet(g, ans, x):\njvp_sign = np.zeros(x.shape[:-2])\n- jvp_logdet = np.trace(np.linalg.solve(x, g), axis1=-1, axis... | Python | Apache License 2.0 | google/jax | Fixed prefix for np.linalg.solve |
260,627 | 16.09.2019 14:30:28 | 25,200 | 0e7ea7e37938b91f6fc833387a929a1faa5ad9a3 | Reduce memory usage for argmax (fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -2232,8 +2232,9 @@ def argmin(a, axis=None):\ndef _argminmax(op, a, axis):\nshape = [1] * a.ndim\nshape[axis] = a.shape[axis]\n- idxs = onp.arange(a.shape[axis]).reshape(shape)\n+ idxs ... | Python | Apache License 2.0 | google/jax | Reduce memory usage for argmax (fixes #1330) |
260,335 | 16.09.2019 14:49:31 | 25,200 | 13b1bca94fef09b2399b5597d69ca61e0d79b995 | prevent device_put from being staged into jaxprs | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -681,8 +681,7 @@ def _device_put_impl(x, device_num=0, backend=None):\ndevice_put_p = core.Primitive('device_put')\ndevice_put_p.def_impl(_device_put_impl)\n-device_put_p.def_abstract... | Python | Apache License 2.0 | google/jax | prevent device_put from being staged into jaxprs |
260,335 | 16.09.2019 15:47:43 | 25,200 | 6662da827591aba302995fb39c66e342cdefbf55 | tweaks to simplify masked jaxprs, rnn test | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/masking.py",
"new_path": "jax/interpreters/masking.py",
"diff": "@@ -98,6 +98,11 @@ def mask_subtrace(master, in_vals, shape_exprs):\nclass ShapeExpr(tuple): # type ShapeExpr = [Poly]\ndef __str__(self):\nreturn 'ShapeExpr({})'.format(', '.joi... | Python | Apache License 2.0 | google/jax | tweaks to simplify masked jaxprs, rnn test |
260,335 | 16.09.2019 16:30:42 | 25,200 | 99b9e48580d62da65f13bf533687c4d337e37902 | python2 fix for ShapeExpr slicing | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/masking.py",
"new_path": "jax/interpreters/masking.py",
"diff": "@@ -57,12 +57,18 @@ def extend_shape_envs(logical_env, padded_env):\ndef shape_as_value(expr):\nif type(expr) is ShapeExpr:\nreturn eval_shape_expr(shape_envs.logical, expr)\n+ e... | Python | Apache License 2.0 | google/jax | python2 fix for ShapeExpr slicing |
260,677 | 17.09.2019 18:55:11 | -3,600 | dda0c806c18f057fc734a0e6ec800584c334c365 | Added test case for sloget gradient | [
{
"change_type": "MODIFY",
"old_path": "tests/linalg_test.py",
"new_path": "tests/linalg_test.py",
"diff": "@@ -117,6 +117,18 @@ class NumpyLinalgTest(jtu.JaxTestCase):\ncheck_dtypes=True, tol=1e-3)\nself._CompileAndCheck(np.linalg.slogdet, args_maker, check_dtypes=True)\n+ @parameterized.named_para... | Python | Apache License 2.0 | google/jax | Added test case for sloget gradient |
260,677 | 17.09.2019 18:57:51 | -3,600 | 3c18245e64856eb8ffb7b859f8d29246c055a869 | Removed complex types from slogdet grad test | [
{
"change_type": "MODIFY",
"old_path": "tests/linalg_test.py",
"new_path": "tests/linalg_test.py",
"diff": "@@ -122,7 +122,7 @@ class NumpyLinalgTest(jtu.JaxTestCase):\n\"_shape={}\".format(jtu.format_shape_dtype_string(shape, dtype)),\n\"shape\": shape, \"dtype\": dtype, \"rng\": rng}\nfor shape in... | Python | Apache License 2.0 | google/jax | Removed complex types from slogdet grad test |
260,677 | 17.09.2019 18:58:34 | -3,600 | 7a347dede9beba964c15144bc42da6cfe988d18b | Added TODO to fix slogdet grad for complex types | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/linalg.py",
"new_path": "jax/numpy/linalg.py",
"diff": "@@ -60,6 +60,7 @@ def svd(a, full_matrices=True, compute_uv=True):\nreturn lax_linalg.svd(a, full_matrices, compute_uv)\n+# TODO(pfau): make this work for complex types\ndef _jvp_slogdet(g, ans,... | Python | Apache License 2.0 | google/jax | Added TODO to fix slogdet grad for complex types |
260,677 | 17.09.2019 19:03:50 | -3,600 | 1e8746ab1f2fb0da55be53475571de09b2ddfb85 | Shrink largest test in slogdet grad | [
{
"change_type": "MODIFY",
"old_path": "tests/linalg_test.py",
"new_path": "tests/linalg_test.py",
"diff": "@@ -121,7 +121,7 @@ class NumpyLinalgTest(jtu.JaxTestCase):\n{\"testcase_name\":\n\"_shape={}\".format(jtu.format_shape_dtype_string(shape, dtype)),\n\"shape\": shape, \"dtype\": dtype, \"rng\... | Python | Apache License 2.0 | google/jax | Shrink largest test in slogdet grad |
260,677 | 18.09.2019 11:05:17 | -3,600 | f25cfafef00663a2d2cd9d20f5fe1deef92662ab | Reduced tolerance for slogdet grad test | [
{
"change_type": "MODIFY",
"old_path": "tests/linalg_test.py",
"new_path": "tests/linalg_test.py",
"diff": "@@ -127,7 +127,7 @@ class NumpyLinalgTest(jtu.JaxTestCase):\ndef testSlogdetGrad(self, shape, dtype, rng):\n_skip_if_unsupported_type(dtype)\na = rng(shape, dtype)\n- jtu.check_grads(np.linalg... | Python | Apache License 2.0 | google/jax | Reduced tolerance for slogdet grad test |
260,677 | 18.09.2019 12:28:57 | -3,600 | fd4c3029d8e42fd1244ccdc075c9571428f4d464 | Further relaxed the tolerance of slogdet grad test | [
{
"change_type": "MODIFY",
"old_path": "tests/linalg_test.py",
"new_path": "tests/linalg_test.py",
"diff": "@@ -127,7 +127,7 @@ class NumpyLinalgTest(jtu.JaxTestCase):\ndef testSlogdetGrad(self, shape, dtype, rng):\n_skip_if_unsupported_type(dtype)\na = rng(shape, dtype)\n- jtu.check_grads(np.linalg... | Python | Apache License 2.0 | google/jax | Further relaxed the tolerance of slogdet grad test |
260,677 | 18.09.2019 13:08:27 | -3,600 | daf5b1cbdedfcd408e86c37d8ac920ddb68534ce | Relaxed test tolerance even more | [
{
"change_type": "MODIFY",
"old_path": "tests/linalg_test.py",
"new_path": "tests/linalg_test.py",
"diff": "@@ -127,7 +127,7 @@ class NumpyLinalgTest(jtu.JaxTestCase):\ndef testSlogdetGrad(self, shape, dtype, rng):\n_skip_if_unsupported_type(dtype)\na = rng(shape, dtype)\n- jtu.check_grads(np.linalg... | Python | Apache License 2.0 | google/jax | Relaxed test tolerance even more |
260,389 | 18.09.2019 23:55:31 | 25,200 | b39179c88723742b89ba05e6e789b53bf5737e0f | better abs jvp | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -1636,9 +1636,14 @@ ad.primitive_jvps[conj_p] = partial(ad.linear_jvp, conj_p)\nad.primitive_transposes[conj_p] = _conj_transpose_rule\nabs_p = unop(_complex_basetype, _num, 'abs')\n-ad.defjvp2(abs_p,\... | Python | Apache License 2.0 | google/jax | better abs jvp |
260,389 | 18.09.2019 23:55:40 | 25,200 | 942d4e721758b7bfe5ef339a57595ae2e0117497 | restore more stable softplus | [
{
"change_type": "MODIFY",
"old_path": "jax/nn/functions.py",
"new_path": "jax/nn/functions.py",
"diff": "@@ -28,7 +28,7 @@ from jax import jarrett\n# activations\ndef relu(x): return np.maximum(x, 0)\n-def softplus(x): return np.log1p(np.exp(x))\n+def softplus(x): return np.logaddexp(x, 0)\ndef sof... | Python | Apache License 2.0 | google/jax | restore more stable softplus |
260,685 | 20.09.2019 10:25:16 | -3,600 | 6fd938d8a02f066680d9c354b868d76769589b9e | no more nested loops of dynamic_update_slice! | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1714,12 +1714,11 @@ def _repeat_scalar(a, repeats, axis=None):\ndef repeat(a, repeats, axis=None):\n'''\n:param repeats: int or array of ints\n- largely same logic as `PyArray_Repeat` ... | Python | Apache License 2.0 | google/jax | no more nested loops of dynamic_update_slice! |
260,335 | 20.09.2019 15:35:43 | 25,200 | 36b5af517e4dafcd1158152bb2829d74f4e4759c | don't over-instantiate literals, fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/partial_eval.py",
"new_path": "jax/interpreters/partial_eval.py",
"diff": "@@ -36,18 +36,15 @@ def identity(x): return x\n# A partial value (pval) is modeled as a pair (pv, const), as per\n# type PVal = (PV, Const)\n-# data PV = NonePV | Abstr... | Python | Apache License 2.0 | google/jax | don't over-instantiate literals, fixes #1361
Co-authored-by: Dougal Maclaurin <dougalm@google.com> |
260,716 | 14.03.2019 14:47:41 | -14,400 | 12de81456bf8a41853033b53fbd3bafccc4d9425 | Simplify nanmean with logical not | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1228,6 +1228,26 @@ nanmax = _make_nan_reduction(onp.nanmax, max, -inf, nan_if_all_nan=True)\nnansum = _make_nan_reduction(onp.nansum, sum, 0, nan_if_all_nan=False)\nnanprod = _make_nan... | Python | Apache License 2.0 | google/jax | Simplify nanmean with logical not |
260,716 | 21.09.2019 01:24:48 | 25,200 | 949e1ddf43c9971d9e37ef8df038c56c50364d27 | Weird Cherry Pick Remnant | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1228,8 +1228,6 @@ nanmax = _make_nan_reduction(onp.nanmax, max, -inf, nan_if_all_nan=True)\nnansum = _make_nan_reduction(onp.nansum, sum, 0, nan_if_all_nan=False)\nnanprod = _make_nan_... | Python | Apache License 2.0 | google/jax | Weird Cherry Pick Remnant |
260,296 | 22.09.2019 15:32:12 | 25,200 | 58ed2e31d898c2c64e778c2378e576d97799cf76 | Make `assertAllClose` work with non-array types.
In our application this would make comparing trees with other entries like Nones and enums easier. I may be missing some other issues though, let me know if this change makes sense! | [
{
"change_type": "MODIFY",
"old_path": "jax/test_util.py",
"new_path": "jax/test_util.py",
"diff": "@@ -516,6 +516,8 @@ class JaxTestCase(parameterized.TestCase):\nx = onp.asarray(x)\ny = onp.asarray(y)\nself.assertArraysAllClose(x, y, check_dtypes, atol=atol, rtol=rtol)\n+ elif x == y:\n+ return\ne... | Python | Apache License 2.0 | google/jax | Make `assertAllClose` work with non-array types.
In our application this would make comparing trees with other entries like Nones and enums easier. I may be missing some other issues though, let me know if this change makes sense! |
260,716 | 22.09.2019 21:38:34 | 25,200 | c312729d62d0c4fd9177c231802e97b7842f49e0 | Refactor and Test based on comments from old PR | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1232,17 +1232,16 @@ nanprod = _make_nan_reduction(onp.nanprod, prod, 1, nan_if_all_nan=False)\ndef nanmean(a, axis=None, dtype=None, out=None, keepdims=False):\nif out is not None:\nra... | Python | Apache License 2.0 | google/jax | Refactor and Test based on comments from old PR |
260,716 | 23.09.2019 08:53:49 | 25,200 | 3d21393d0ca87f7058c82ea1b8a77a4e4ac436e1 | PR Response Changes | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1235,15 +1235,13 @@ def nanmean(a, axis=None, dtype=None, out=None, keepdims=False):\nif (onp.issubdtype(lax._dtype(a), onp.bool_) or\nonp.issubdtype(lax._dtype(a), onp.integer)):\nret... | Python | Apache License 2.0 | google/jax | PR Response Changes |
260,716 | 23.09.2019 10:04:31 | 25,200 | 03fb88e49e7e0349a294dbb3fd20933fce3edc67 | TODOs and wrong name | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1240,7 +1240,7 @@ def nanmean(a, axis=None, dtype=None, out=None, keepdims=False):\nnan_mask = logical_not(isnan(a))\nnormalizer = sum(nan_mask, axis=axis, dtype=int32, keepdims=keepdi... | Python | Apache License 2.0 | google/jax | TODOs and wrong name |
260,299 | 24.09.2019 19:20:12 | -7,200 | f9b9146a92617b825d119ed14706fe182cd483a0 | Ensure lax.scatter cache hits in op-by-op mode | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -785,6 +785,9 @@ def scatter_max(operand, scatter_indices, updates, dimension_numbers):\nupdate_consts=consts, dimension_numbers=dimension_numbers,\nupdates_shape=updates.shape)\n+# Define this outside... | Python | Apache License 2.0 | google/jax | Ensure lax.scatter cache hits in op-by-op mode |
260,299 | 25.09.2019 15:59:52 | -7,200 | 7c979e7c28a1a141dee66f0502caf7c15189710d | Always test for cache misses on second op-by-op call | [
{
"change_type": "MODIFY",
"old_path": "jax/test_util.py",
"new_path": "jax/test_util.py",
"diff": "@@ -35,6 +35,7 @@ from .config import flags\nfrom .util import partial\nfrom .tree_util import tree_multimap, tree_all, tree_map, tree_reduce\nfrom .lib import xla_bridge\n+from .interpreters import x... | Python | Apache License 2.0 | google/jax | Always test for cache misses on second op-by-op call |
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