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 |
|---|---|---|---|---|---|---|---|---|---|
260,411 | 21.12.2020 11:01:29 | -7,200 | beb0e02fb48e9e7663ce8afe964059f82247a5cf | [host_callback] Added support for jax.named_call. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/host_callback.py",
"new_path": "jax/experimental/host_callback.py",
"diff": "@@ -558,7 +558,7 @@ batching.primitive_batchers[id_tap_p] = _id_tap_batching_rule\ndef _id_tap_masking_rule(operands, operands_logical_shapes, **params):\n- new_param... | Python | Apache License 2.0 | google/jax | [host_callback] Added support for jax.named_call. |
260,472 | 17.09.2020 18:33:30 | -10,800 | 3796cf33387ec6e804ae3bc9baaefc344a57027b | Covering an execution path on array creation: when an array is created with an unspecified type (None), there was no typechecking that the inferred type is compatible with JAX. The issue has been documented and a test with the use case added. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -2733,6 +2733,8 @@ def atleast_3d(*arys):\ndef array(object, dtype=None, copy=True, order=\"K\", ndmin=0):\nif order is not None and order != \"K\":\nraise NotImplementedError... | Python | Apache License 2.0 | google/jax | Covering an execution path on array creation: when an array is created with an unspecified type (None), there was no typechecking that the inferred type is compatible with JAX. The issue has been documented and a test with the use case added. |
260,335 | 23.12.2020 11:04:59 | 28,800 | 19057260b96185368dda332713b69fd03273a715 | remove unchanged file | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/loops.py",
"new_path": "jax/experimental/loops.py",
"diff": "@@ -548,8 +548,7 @@ class _WhileBuilder(_LoopBuilder):\n# Conditional function is not allowed to modify the scope state\nfor ms, init_ms in zip(carried_state_names, args):\nif not (s... | Python | Apache License 2.0 | google/jax | remove unchanged file |
260,335 | 29.12.2020 11:43:44 | 28,800 | cdc1b0546a3281c2959866576c7a2d2168d7eda1 | remove AbstractValue.at_least_vspace default impl | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -800,7 +800,7 @@ class AbstractValue:\n_num_buffers: int = 1 # number of buffers used to represent the value.\ndef at_least_vspace(self):\n- return self\n+ raise NotImplementedError(\"must override\")\ndef _... | Python | Apache License 2.0 | google/jax | remove AbstractValue.at_least_vspace default impl |
260,411 | 05.01.2021 09:47:59 | -7,200 | f2453207310088332b50f82fe573ae99b2c7b12a | Trigger the re-building of documentation | [
{
"change_type": "MODIFY",
"old_path": "docs/developer.rst",
"new_path": "docs/developer.rst",
"diff": "@@ -233,7 +233,8 @@ For each automated documentation build you can see the\nIf you want to test the documentation generation on Readthedocs, you can push code to the ``test-docs``\nbranch. That br... | Python | Apache License 2.0 | google/jax | Trigger the re-building of documentation |
260,411 | 06.01.2021 13:36:37 | -7,200 | aec6192ed90d75fceb59353b7e4e1c8511626b5b | Fix float0 handling | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/host_callback.py",
"new_path": "jax/experimental/host_callback.py",
"diff": "@@ -875,25 +875,20 @@ def _add_transform(params: Dict, name: str, *transform_params) -> Dict:\n# TODO(necula): there must be a better way to do this.\n# The Attribute... | Python | Apache License 2.0 | google/jax | Fix float0 handling |
260,411 | 06.01.2021 15:02:26 | -7,200 | 7468b9df467ce95cde277fbb3ceb9f1f2d0cd612 | Turn off flaky test LaxControlFlowTest.test_cond_typecheck_param | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_control_flow_test.py",
"new_path": "tests/lax_control_flow_test.py",
"diff": "@@ -2457,6 +2457,7 @@ class LaxControlFlowTest(jtu.JaxTestCase):\nlambda: core.check_jaxpr(jaxpr))\ndef test_cond_typecheck_param(self):\n+ raise SkipTest(\"TODO: test is f... | Python | Apache License 2.0 | google/jax | Turn off flaky test LaxControlFlowTest.test_cond_typecheck_param |
260,613 | 06.01.2021 14:43:05 | 0 | 0e73bb9281c12f832635b2c371ca41ecda33cdb2 | inf checker tests | [
{
"change_type": "MODIFY",
"old_path": "tests/debug_nans_test.py",
"new_path": "tests/debug_nans_test.py",
"diff": "@@ -77,5 +77,55 @@ class DebugNaNsTest(jtu.JaxTestCase):\nf(1)\n+class DebugInfsTest(jtu.JaxTestCase):\n+\n+ def setUp(self):\n+ self.cfg = config.read(\"jax_debug_infs\")\n+ config.up... | Python | Apache License 2.0 | google/jax | inf checker tests |
260,340 | 07.01.2021 17:03:39 | -32,400 | 3614d829facd338867617851d7fcac8ecbe8c2c9 | Fix typo in jax/_src/random.py | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/random.py",
"new_path": "jax/_src/random.py",
"diff": "@@ -658,7 +658,7 @@ def multivariate_normal(key: jnp.ndarray,\nbroadcasting together the batch shapes of ``mean`` and ``cov``.\ndtype: optional, a float dtype for the returned values (default floa... | Python | Apache License 2.0 | google/jax | Fix typo in jax/_src/random.py
Co-authored-by: Matthew Johnson <mattjj@google.com> |
260,411 | 07.01.2021 07:57:59 | -7,200 | 231ea59f757d720b13ffaf9fea58bdcecc917844 | [jax2tf] Fix infinite recursion when converting some bfloat16 arrays
This fix takes advantage of a new change in TF to share the bfloat16
dtype definition with JAX
Fixes:
Relates to: | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -77,30 +77,12 @@ def _is_tfval(v: TfVal) -> bool:\nreturn False\ndef _safe_convert_to_tensor(val, dtype=None) -> TfVal:\n- \"\"\"Converts val to a Tensor.\n-\n- Th... | Python | Apache License 2.0 | google/jax | [jax2tf] Fix infinite recursion when converting some bfloat16 arrays
This fix takes advantage of a new change in TF to share the bfloat16
dtype definition with JAX
Fixes: #5106
Relates to: #5108 |
260,411 | 07.01.2021 14:54:47 | -7,200 | 274d970644ad55ca782acab4a7cd6b0fa668c138 | [jax2tf] Finish the conversion of lax.sort
We were blocked until now due to limited support for the XlaSort op.
Also removed the patching of the XlaPad output shape; now XlaPad has
shape inference. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/README.md",
"new_path": "jax/experimental/jax2tf/README.md",
"diff": "@@ -126,7 +126,7 @@ for CUDA. One must be mindful to install a version of CUDA that is compatible\nwith both [jaxlib](https://github.com/google/jax/blob/master/README... | Python | Apache License 2.0 | google/jax | [jax2tf] Finish the conversion of lax.sort
We were blocked until now due to limited support for the XlaSort op.
Also removed the patching of the XlaPad output shape; now XlaPad has
shape inference. |
260,411 | 07.01.2021 08:23:17 | -7,200 | 9c8ec132450c95d4ef2e8cc1fbd8b09835e750cf | [jax2tf] Fix/disable tests for non-omnistaging | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -180,7 +180,14 @@ def convert(fun: Callable, *,\ndef converted_fun(*args: TfVal) -> TfVal:\n# TODO: is there a better way to check if we are inside a transformatio... | Python | Apache License 2.0 | google/jax | [jax2tf] Fix/disable tests for non-omnistaging |
260,335 | 05.01.2021 08:14:16 | 28,800 | 7a9f8f96eaf3d323f9189c27cf6e36d22d26ec69 | make c++ jit sensitive to global omnistaging state
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -259,7 +259,7 @@ def _cpp_jit(\nraise ValueError(\"can't specify both a device and a backend for jit, \"\nf\"got device={device} and backend={backend}.\")\n- def cache_miss(*args, **kwargs):\n+ def cache_miss(... | Python | Apache License 2.0 | google/jax | make c++ jit sensitive to global omnistaging state
fixes #5206
Co-authored-by: Jean-Baptiste Lespiau <jblespiau@google.com> |
260,335 | 08.01.2021 12:13:09 | 28,800 | 3f85b300c8b2770dd0aef0c78b883b4820f27412 | temporary skip test | [
{
"change_type": "MODIFY",
"old_path": "tests/random_test.py",
"new_path": "tests/random_test.py",
"diff": "@@ -954,6 +954,7 @@ class LaxRandomTest(jtu.JaxTestCase):\nself._CompileAndCheck(random.PRNGKey, args_maker)\ndef test_prng_errors(self):\n+ raise SkipTest(\"temporary skip while mattjj debugs... | Python | Apache License 2.0 | google/jax | temporary skip test
PiperOrigin-RevId: 350812117 |
260,631 | 12.01.2021 13:46:52 | 28,800 | 47f254d252a0549e8174727e62912c86cd17f9bf | Copybara import of the project:
by Chris Jones
[JAX] Use XLA AllGather op for GPU (when supported). | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -670,6 +670,10 @@ def _expand(dim, size, index, x):\nout = lax.full(shape, lax._const(x, 0))\nreturn lax.dynamic_update_index_in_dim(out, x, index, dim)\n+def _allgather(x, dim, siz... | Python | Apache License 2.0 | google/jax | Copybara import of the project:
--
474fdfcde05b4e5f17cfcb087a832d37c41ddffe by Chris Jones <cjfj@google.com>:
[JAX] Use XLA AllGather op for GPU (when supported).
PiperOrigin-RevId: 351440599 |
260,444 | 11.12.2020 13:29:35 | -3,600 | f443e19141c3d04a6e2947a0dcde8d23039af786 | JVP rule for SVD works now for complex input. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/linalg.py",
"new_path": "jax/_src/lax/linalg.py",
"diff": "@@ -1171,7 +1171,6 @@ def svd_jvp_rule(primals, tangents, full_matrices, compute_uv):\nraise NotImplementedError(\n\"Singular value decomposition JVP not implemented for full matrices\")\n... | Python | Apache License 2.0 | google/jax | JVP rule for SVD works now for complex input. |
260,403 | 13.01.2021 12:52:28 | 28,800 | 2ca247f43ed898e4c9d683c97cedf921d0601362 | Fix pdot translation rule.
This concerns the direct pdot translation rule, which is not used
during spmd lowering. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -828,13 +828,15 @@ batching.primitive_batchers[pdot_p] = _pdot_vmap_batching_rule\ndef _pdot_translation_rule(c, x, y, *, axis_name, pos_contract, pos_batch,\naxis_env, platform):\n... | Python | Apache License 2.0 | google/jax | Fix pdot translation rule.
This concerns the direct pdot translation rule, which is not used
during spmd lowering. |
260,631 | 13.01.2021 13:02:53 | 28,800 | 9c2aed32eff652973cac1b02cc409e91f9fbefbf | Add # pytype: disable=import-error to a couple of import statements to allow
cpu=ppc builds (the imported modules aren't currently linked into jaxlib when building for ppc). | [
{
"change_type": "MODIFY",
"old_path": "jax/lib/__init__.py",
"new_path": "jax/lib/__init__.py",
"diff": "@@ -59,7 +59,7 @@ else:\njax_jit = xla_client._xla.jax_jit\ntry:\n- from jaxlib import cusolver\n+ from jaxlib import cusolver # pytype: disable=import-error\nexcept ImportError:\ncusolver = Non... | Python | Apache License 2.0 | google/jax | Add # pytype: disable=import-error to a couple of import statements to allow
--cpu=ppc builds (the imported modules aren't currently linked into jaxlib when building for ppc).
PiperOrigin-RevId: 351648541 |
260,287 | 11.01.2021 10:44:00 | 0 | 66f3deb97853d2eb20e3ca6ada3bfb99f0fc9fa1 | Make xmapped functions with no axis resources callable more than once
When no XLA lowering was involved (i.e. when using a purely vectorized
schedule), we used to return `f.call_wrapped` as the xmapped function.
This obviously didn't end well when someone tried to call it multiple
times, which this patch should fix. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/maps.py",
"new_path": "jax/experimental/maps.py",
"diff": "@@ -304,7 +304,9 @@ def make_xmap_callable(fun: lu.WrappedFun,\nEXPERIMENTAL_SPMD_LOWERING,\n*in_avals)\nelse:\n- return f.call_wrapped\n+ # We have to trace again, because `f` is a li... | Python | Apache License 2.0 | google/jax | Make xmapped functions with no axis resources callable more than once
When no XLA lowering was involved (i.e. when using a purely vectorized
schedule), we used to return `f.call_wrapped` as the xmapped function.
This obviously didn't end well when someone tried to call it multiple
times, which this patch should fix. |
260,411 | 14.01.2021 14:11:52 | -3,600 | 555a215cfb12f09dc70dce275f250a2557ffc339 | [loops] Extend loops with support for pytrees
Also improve error checking and error messages. | [
{
"change_type": "MODIFY",
"old_path": "docs/CHANGELOG.rst",
"new_path": "docs/CHANGELOG.rst",
"diff": "@@ -24,8 +24,17 @@ jax 0.2.9 (Unreleased)\nThese are the release notes for JAX.\n+next version\n+-------------\n+* `GitHub commits <https://github.com/google/jax/compare/jax-v0.2.8...jax-v0.2.9>`_... | Python | Apache License 2.0 | google/jax | [loops] Extend loops with support for pytrees
Also improve error checking and error messages. |
260,411 | 14.01.2021 21:35:42 | -7,200 | 042aae732507d0c024240e62071b3b7977c02c2d | [host_callback] Fix bug when id_tap takes no arguments but has a result.
Fixes: | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/host_callback.py",
"new_path": "jax/experimental/host_callback.py",
"diff": "@@ -461,9 +461,11 @@ def id_tap(tap_func, arg, *, result=None, tap_with_device=False, **kwargs):\n# Return the results, but add a dependency on the call, to ensure it... | Python | Apache License 2.0 | google/jax | [host_callback] Fix bug when id_tap takes no arguments but has a result.
Fixes: #5414 |
260,411 | 18.09.2020 11:59:20 | -10,800 | 66ad382112ee15dece2317c00cba288785e566bb | [jax2tf] Add support for Add for uint32 | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/g3doc/primitives_with_limited_support.md",
"new_path": "jax/experimental/jax2tf/g3doc/primitives_with_limited_support.md",
"diff": "# Primitives with limited support\n-*Last generated on (YYYY-MM-DD): 2021-01-07*\n+*Last generated on (Y... | Python | Apache License 2.0 | google/jax | [jax2tf] Add support for Add for uint32 |
260,411 | 15.01.2021 14:40:37 | -7,200 | 0e932aeb725145769dced9d183152b2b2d01dcb8 | Update debug_nans_test.py
Fix typo | [
{
"change_type": "MODIFY",
"old_path": "tests/debug_nans_test.py",
"new_path": "tests/debug_nans_test.py",
"diff": "@@ -81,7 +81,7 @@ class DebugInfsTest(jtu.JaxTestCase):\ndef setUp(self):\nself.cfg = config.read(\"jax_debug_infs\")\n- config.update(\"jax_debug_inf\", True)\n+ config.update(\"jax_d... | Python | Apache License 2.0 | google/jax | Update debug_nans_test.py
Fix typo |
260,485 | 17.01.2021 00:35:45 | 18,000 | a47abe06edfdc90384901b5bc6742a688785b46b | Added check for shapes of arguments in jvp, resolves issue | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1720,6 +1720,12 @@ def _jvp(fun: lu.WrappedFun, primals, tangents):\nf\"Got primal dtype {_dtype(p)} and so expected tangent dtype \"\nf\"{core.primal_dtype_to_tangent_dtype(_dtype(p))}, but got \"\nf\"tangen... | Python | Apache License 2.0 | google/jax | Added check for shapes of arguments in jvp, resolves issue #5226 |
260,287 | 11.12.2020 11:57:22 | 0 | 166e1296b98f551c9de320b875ae686f73aa8413 | Clean up xmap tests
Move `pdot` tests to a separate class. Automatically run all regular
xmap tests with both the `pmap`-style lowering and `sharded_jit`-style
lowering. | [
{
"change_type": "MODIFY",
"old_path": "tests/xmap_test.py",
"new_path": "tests/xmap_test.py",
"diff": "@@ -78,22 +78,8 @@ def with_mesh(named_shape, f):\nreturn f(*args, **kwargs)\nreturn new_f\n-def use_spmd_lowering(f):\n- def new_f(*args, **kwargs):\n- if jtu.device_under_test() != \"tpu\":\n- r... | Python | Apache License 2.0 | google/jax | Clean up xmap tests
Move `pdot` tests to a separate class. Automatically run all regular
xmap tests with both the `pmap`-style lowering and `sharded_jit`-style
lowering. |
260,411 | 18.01.2021 03:37:55 | 28,800 | 6bf634921e12854aead78e7707a05715d19075f2 | Copybara import of the project:
by George Necula
[jax2tf] Update limitations
Some bugs were fixed on the TF-side, and we can remove
some limitations.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/jax/pull/5449 from gnecula:jax2tf_limit | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/g3doc/primitives_with_limited_support.md",
"new_path": "jax/experimental/jax2tf/g3doc/primitives_with_limited_support.md",
"diff": "# Primitives with limited support for jax2tf\n-*Last generated on (YYYY-MM-DD): 2021-01-15*\n+*Last gene... | Python | Apache License 2.0 | google/jax | Copybara import of the project:
--
781492e0120ec915f9fdc83479884908f59d113d by George Necula <gcnecula@gmail.com>:
[jax2tf] Update limitations
Some bugs were fixed on the TF-side, and we can remove
some limitations.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/jax/pull/5449 from gnecula:jax2tf_limit 781492e0120ec915f9fdc83479884908f59d113d
PiperOrigin-RevId: 352381535 |
260,411 | 18.01.2021 14:41:42 | -7,200 | 6d2b976fab8a57edbd10459a33e4e2970f0ec31b | [jax2tf] Start using jit_compile instead of the deprecated experimental_compile | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/examples/saved_model_lib.py",
"new_path": "jax/experimental/jax2tf/examples/saved_model_lib.py",
"diff": "@@ -89,7 +89,7 @@ def convert_and_save_model(\nenable_xla: whether the jax2tf converter is allowed to use TFXLA ops. If\nFalse, th... | Python | Apache License 2.0 | google/jax | [jax2tf] Start using jit_compile instead of the deprecated experimental_compile |
260,411 | 18.01.2021 15:19:01 | -7,200 | d77a9412571ac8ac828981a8774bff9cf8ea0837 | [jax2tf] Reflect in the limitations that add is now implemented for uint32 in TF | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/g3doc/primitives_with_limited_support.md",
"new_path": "jax/experimental/jax2tf/g3doc/primitives_with_limited_support.md",
"diff": "@@ -59,7 +59,7 @@ More detailed information can be found in the\n| acosh | TF error: op not defined for ... | Python | Apache License 2.0 | google/jax | [jax2tf] Reflect in the limitations that add is now implemented for uint32 in TF |
260,287 | 18.01.2021 19:40:46 | -3,600 | c2871807020c64bda6b32accf721efbd8f03ba1a | Update jax/experimental/maps.py | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/maps.py",
"new_path": "jax/experimental/maps.py",
"diff": "@@ -305,7 +305,7 @@ def make_xmap_callable(fun: lu.WrappedFun,\nEXPERIMENTAL_SPMD_LOWERING,\n*in_avals)\nelse:\n- # We have to trace again, because `f` is a linear function, so we can'... | Python | Apache License 2.0 | google/jax | Update jax/experimental/maps.py
Co-authored-by: Matthew Johnson <mattjj@google.com> |
260,485 | 18.01.2021 23:21:33 | 18,000 | bd9ac93b6bce32182d8d039a00039d832778d0a4 | Added changes requested | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1720,12 +1720,10 @@ def _jvp(fun: lu.WrappedFun, primals, tangents):\nf\"Got primal dtype {_dtype(p)} and so expected tangent dtype \"\nf\"{core.primal_dtype_to_tangent_dtype(_dtype(p))}, but got \"\nf\"tange... | Python | Apache License 2.0 | google/jax | Added changes requested |
260,335 | 18.01.2021 20:37:12 | 28,800 | 47f7cd468031d2177bfc977a188564f8b5deafdd | avoid printing double periods in error messages | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -385,18 +385,18 @@ class Trace:\nreturn self.sublift(val)\nelse:\nraise escaped_tracer_error(\n- val, f\"Can't lift sublevels {val._trace.sublevel} to {sublevel}.\")\n+ val, f\"Can't lift sublevels {val._tra... | Python | Apache License 2.0 | google/jax | avoid printing double periods in error messages |
260,485 | 19.01.2021 09:12:11 | 18,000 | 9260f2c7d7bbffe8b97c866042176bc9b1f9e676 | regex check for each test case | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1721,7 +1721,7 @@ def _jvp(fun: lu.WrappedFun, primals, tangents):\nf\"{core.primal_dtype_to_tangent_dtype(_dtype(p))}, but got \"\nf\"tangent dtype {_dtype(t)} instead.\")\nif np.shape(p) != np.shape(t):\n- ... | Python | Apache License 2.0 | google/jax | regex check for each test case |
260,335 | 19.01.2021 19:08:23 | 28,800 | 0f704514e30ad8eda67eff543874bc06459f511b | add BatchTrace.process_custom_vjp_call
It was an oversight not to include this! Notice we have
BatchTrace.process_custom_jvp_call. In fact, we can use the same
function! We just needed the simplest possible post-process-call which
just peels and packages.
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/batching.py",
"new_path": "jax/interpreters/batching.py",
"diff": "@@ -259,6 +259,8 @@ class BatchTrace(Trace):\nout_dims = out_dims[-len(out_vals) % len(out_dims):]\nreturn [BatchTracer(self, v, d) for v, d in zip(out_vals, out_dims)]\n+ post... | Python | Apache License 2.0 | google/jax | add BatchTrace.process_custom_vjp_call
It was an oversight not to include this! Notice we have
BatchTrace.process_custom_jvp_call. In fact, we can use the same
function! We just needed the simplest possible post-process-call which
just peels and packages.
fixes #5440
Co-authored-by: Roy Frostig <frostig@google.com> |
260,485 | 20.01.2021 21:47:18 | 18,000 | 186c97394d30472246409cef57650a4cac64b601 | Added test for python scalar | [
{
"change_type": "MODIFY",
"old_path": "tests/api_test.py",
"new_path": "tests/api_test.py",
"diff": "@@ -958,6 +958,9 @@ class APITest(jtu.JaxTestCase):\nwith self.assertRaisesRegex(\nValueError, \"jvp called with different primal and tangent shapes\"):\napi.jvp(fun, (jnp.array([1.,2.,3.], dtype=jn... | Python | Apache License 2.0 | google/jax | Added test for python scalar |
260,335 | 18.01.2021 10:02:24 | 28,800 | c02d8041f46f33c9f96df61b9f9df97a3bc76c0d | add systematic pdot tests, utility functions
Run lots of tests with e.g.
```
env JAX_NUM_GENERATED_CASES=1000 python tests/xmap_test.py PDotTests
``` | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -352,11 +352,11 @@ def axis_index(axis_name):\nreturn axis_index_p.bind(axis_name=axis_name)\n-def pdot(x, y, axis_name, pos_contract=((), ())):\n+def pdot(x, y, axis_name, pos_cont... | Python | Apache License 2.0 | google/jax | add systematic pdot tests, utility functions
Run lots of tests with e.g.
```
env JAX_NUM_GENERATED_CASES=1000 python tests/xmap_test.py PDotTests
``` |
260,335 | 21.01.2021 11:09:59 | 28,800 | 6d2f8320c39871b66b5c124addff168febd9500d | add xeinsum, an einsum for xmap (& einsum easter egg) | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -16,6 +16,7 @@ Parallelization primitives.\n\"\"\"\nimport collections\n+import string\nimport warnings\nimport numpy as np\n@@ -359,6 +360,128 @@ def pdot(x, y, axis_name, pos_cont... | Python | Apache License 2.0 | google/jax | add xeinsum, an einsum for xmap (& einsum easter egg)
Co-authored-by: Adam Paszke <apaszke@google.com> |
260,335 | 19.01.2021 18:38:53 | 28,800 | 203af4517b157cb98fd7d0a82e36e25b5b6a1bbb | revive the leak checker, as a debug mode | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/control_flow.py",
"new_path": "jax/_src/lax/control_flow.py",
"diff": "@@ -108,12 +108,6 @@ def _initial_style_jaxprs_with_common_consts(funs: Sequence[Callable],\ndef _abstractify(x):\nreturn raise_to_shaped(core.get_aval(x))\n-def _disable_jit_i... | Python | Apache License 2.0 | google/jax | revive the leak checker, as a debug mode
Co-authored-by: James Bradbury <jekbradbury@google.com> |
260,335 | 21.01.2021 21:29:09 | 28,800 | 9787894d94556c4a3b5c878c00be2c178328fa88 | refactor batching transform logic, fix leak checks
See PR description in for details. | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -41,7 +41,7 @@ from . import lib\nfrom . import linear_util as lu\nfrom . import ad_util\nfrom . import dtypes\n-from .core import eval_jaxpr\n+from .core import eval_jaxpr, checking_leaks\nfrom .api_util impo... | Python | Apache License 2.0 | google/jax | refactor batching transform logic, fix leak checks
See PR description in #5492 for details.
Co-authored-by: Peter Hawkins <phawkins@google.com> |
260,335 | 23.01.2021 14:17:22 | 28,800 | a7bfebe4bc1cdeca333675ccdfd19e385dbc864b | improve leak checker flag description | [
{
"change_type": "MODIFY",
"old_path": "jax/config.py",
"new_path": "jax/config.py",
"diff": "@@ -174,5 +174,7 @@ flags.DEFINE_integer(\nflags.DEFINE_bool(\n'jax_check_tracer_leaks',\nbool_env('JAX_CHECK_TRACER_LEAKS', False),\n- help='Turn on checking for leaked tracers as soon as a trace completes... | Python | Apache License 2.0 | google/jax | improve leak checker flag description |
260,628 | 24.01.2021 16:15:31 | 0 | 1524b8218907d826c07f33570f3d1cc044e4f0ef | add support for scipy.stats.poisson.cdf | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/scipy/stats/poisson.py",
"new_path": "jax/_src/scipy/stats/poisson.py",
"diff": "@@ -18,7 +18,7 @@ import scipy.stats as osp_stats\nfrom jax import lax\nfrom jax._src.numpy.util import _wraps\nfrom jax._src.numpy import lax_numpy as jnp\n-from jax.sci... | Python | Apache License 2.0 | google/jax | add support for scipy.stats.poisson.cdf |
260,384 | 25.01.2021 16:52:38 | 18,000 | 7865043341c3b67d280004b6828860bc31f6cbdc | Improve batched collective rule for all_gather_p
When an all_gather references a vmapped axis, there is a particularly
simple way of implementing it: simply "forget" that the axis was mapped,
and return the full array. Conveniently, this doesn't require any
explicit broadcasting, and makes it possible to use out_axes=None with
the results. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -796,14 +796,7 @@ def _all_gather_batched_collective(frame, vals_in, dims_in, all_gather_dimension\nassert axis_name == frame.name, \"batcher called with wrong axis name\"\n(x,), (d... | Python | Apache License 2.0 | google/jax | Improve batched collective rule for all_gather_p
When an all_gather references a vmapped axis, there is a particularly
simple way of implementing it: simply "forget" that the axis was mapped,
and return the full array. Conveniently, this doesn't require any
explicit broadcasting, and makes it possible to use out_axes=None with
the results. |
260,384 | 25.01.2021 17:27:39 | 18,000 | c6a1bba308ba363f7dfaba70b42810c3f591c9c9 | Add evaluation rule for all_gather.
This should only be called when an all_gather runs on arguments that
are not batch tracers, for instance when all_gather-ing a constant. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -743,6 +743,13 @@ def _all_gather_via_psum(x, *, all_gather_dimension, axis_name, axis_index_group\nouts = tree_util.tree_map(partial(_expand, all_gather_dimension, axis_size, index... | Python | Apache License 2.0 | google/jax | Add evaluation rule for all_gather.
This should only be called when an all_gather runs on arguments that
are not batch tracers, for instance when all_gather-ing a constant. |
260,384 | 25.01.2021 17:47:50 | 18,000 | 15b95e3ff5655470d55baafea9907b5be32ae8ca | Use np.shape instead of assuming argument has a shape attr | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -745,7 +745,7 @@ def _all_gather_via_psum(x, *, all_gather_dimension, axis_name, axis_index_group\ndef _all_gather_impl(x, *, all_gather_dimension, axis_name, axis_index_groups, axi... | Python | Apache License 2.0 | google/jax | Use np.shape instead of assuming argument has a shape attr |
260,509 | 25.01.2021 17:16:29 | 28,800 | 9dccf567ce4c2fef45398683a4e05c5a10ec7846 | Clarify tracking
Clarify tracing a bit and use wording that does not suggest that JAX executed python program. | [
{
"change_type": "MODIFY",
"old_path": "docs/jaxpr.rst",
"new_path": "docs/jaxpr.rst",
"diff": "@@ -104,10 +104,11 @@ inline.\nThe ``reduce_sum`` primitive has named parameters ``axes`` and ``input_shape``, in\naddition to the operand ``e``.\n-Note that JAX traces through Python-level control-flow a... | Python | Apache License 2.0 | google/jax | Clarify tracking
Clarify tracing a bit and use wording that does not suggest that JAX executed python program. |
260,335 | 26.01.2021 10:59:22 | 28,800 | 737c1624314e74dba800d5632e3c4f0f67990abf | relax test tolerance on tpu | [
{
"change_type": "MODIFY",
"old_path": "tests/xmap_test.py",
"new_path": "tests/xmap_test.py",
"diff": "@@ -684,14 +684,18 @@ class PDotTests(jtu.JaxTestCase):\nin_axes=(['i', 'j', ...], ['j', 'k', ...]),\nout_axes=['i', 'k', ...])(x, y)\nexpected = np.einsum('ij,jk->ik', x, y)\n- self.assertAllClos... | Python | Apache License 2.0 | google/jax | relax test tolerance on tpu |
260,510 | 26.01.2021 12:39:35 | 28,800 | 6061b0979a9ff09c664e8a58e59a187ee261b9c1 | Allow `jax.custom_gradient` to return vjp with singleton return value | [
{
"change_type": "MODIFY",
"old_path": "jax/custom_derivatives.py",
"new_path": "jax/custom_derivatives.py",
"diff": "@@ -22,7 +22,7 @@ from . import core\nfrom . import dtypes\nfrom . import linear_util as lu\nfrom .tree_util import (tree_flatten, tree_unflatten, tree_map, tree_multimap,\n- registe... | Python | Apache License 2.0 | google/jax | Allow `jax.custom_gradient` to return vjp with singleton return value |
260,335 | 26.01.2021 17:25:22 | 28,800 | ff66c55709e9199e16a388c109987b7be9ed2c81 | add axis_env argument to make_jaxpr
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -2000,6 +2000,7 @@ def linear_transpose(fun: Callable, *primals) -> Callable:\ndef make_jaxpr(fun: Callable,\nstatic_argnums: Union[int, Iterable[int]] = (),\n+ axis_env: Optional[Sequence[Tuple[AxisName, int]... | Python | Apache License 2.0 | google/jax | add axis_env argument to make_jaxpr
fixes #5522 |
260,335 | 26.01.2021 17:03:58 | 28,800 | 537c3d5c84e33fe1c0ae5592d7b16db6300b658f | add systematic pdot vjp tests | [
{
"change_type": "MODIFY",
"old_path": "tests/xmap_test.py",
"new_path": "tests/xmap_test.py",
"diff": "@@ -650,6 +650,54 @@ class PDotTests(jtu.JaxTestCase):\ntol = 1e-1 if jtu.device_under_test() == \"tpu\" else None\nself.assertAllClose(result, expected, check_dtypes=False,\natol=tol, rtol=tol)\n... | Python | Apache License 2.0 | google/jax | add systematic pdot vjp tests |
260,335 | 26.01.2021 19:38:40 | 28,800 | 014f9a86b40787921dc0177ce8650f224cefdca1 | implement soft_pmap in terms of xmap | [
{
"change_type": "MODIFY",
"old_path": "jax/__init__.py",
"new_path": "jax/__init__.py",
"diff": "@@ -69,7 +69,6 @@ from .api import (\nshapecheck,\nShapedArray,\nShapeDtypeStruct,\n- soft_pmap,\n# TODO(phawkins): hide tree* functions from jax, update callers to use\n# jax.tree_util.\ntreedef_is_lea... | Python | Apache License 2.0 | google/jax | implement soft_pmap in terms of xmap |
260,411 | 29.01.2021 10:52:29 | -3,600 | 3fa950fe9e180fcd5753a2f4c285cdd070f8a345 | Update jax2tf.py
Small fix for merge error. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -195,7 +195,7 @@ def convert(fun: Callable, *,\n+ f\"Trace state: {core.thread_local_state.trace_state}\")\ndef check_arg(a):\n- if not _is_tfvalorunit(a):\n+ if n... | Python | Apache License 2.0 | google/jax | Update jax2tf.py
Small fix for merge error. |
260,322 | 05.01.2021 11:21:21 | 0 | 28dd00b010d0dc7a2aded1fd1ec8fcc8685cb2af | Adds support for is_leaf in tree_util.tree_map and tree_util.tree_multimap. | [
{
"change_type": "MODIFY",
"old_path": "jax/tree_util.py",
"new_path": "jax/tree_util.py",
"diff": "@@ -167,22 +167,28 @@ def register_pytree_node_class(cls):\nregister_pytree_node(cls, op.methodcaller('tree_flatten'), cls.tree_unflatten)\nreturn cls\n-def tree_map(f: Callable[[Any], Any], tree: Any... | Python | Apache License 2.0 | google/jax | Adds support for is_leaf in tree_util.tree_map and tree_util.tree_multimap. |
260,411 | 29.01.2021 12:48:56 | -3,600 | 3c89de6eed72a678adad3c5d93dc0febd340bb08 | [jax2tf] Add the JAX-not-implemented to the jax2tf limitations doc | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/g3doc/jax_primitives_coverage.md",
"new_path": "jax/experimental/jax2tf/g3doc/jax_primitives_coverage.md",
"diff": "@@ -199,10 +199,8 @@ and search for \"limitation\".\n|reduce_window_max|unimplemented in XLA|complex64|tpu|\n|reduce_win... | Python | Apache License 2.0 | google/jax | [jax2tf] Add the JAX-not-implemented to the jax2tf limitations doc |
260,411 | 29.01.2021 15:09:44 | -3,600 | 87122fc81363756e7843ec06fa438852cf16df71 | Update jax2tf.py
mypy fix | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -203,7 +203,7 @@ def convert(fun: Callable, *,\n# Name input tensors\nargs = tuple(\n- tree_util.tree_map(lambda x, i=i: tf.identity(x, f\"jax2tf_arg_{i}\"), a)\n+... | Python | Apache License 2.0 | google/jax | Update jax2tf.py
mypy fix |
260,352 | 31.01.2021 09:07:55 | -39,600 | 4e48023538ac4939820fc346452211ce211eeec2 | update out of date comment in Pmap_Cookbook.ipynb
update comment regarding `pmap` not support `in_axes` because it does now. | [
{
"change_type": "MODIFY",
"old_path": "cloud_tpu_colabs/Pmap_Cookbook.ipynb",
"new_path": "cloud_tpu_colabs/Pmap_Cookbook.ipynb",
"diff": "\"source\": [\n\"Notice that applying `vmap(f)` to these arguments leads to a `dot_general` to express the batch matrix multiplication in a single primitive, wh... | Python | Apache License 2.0 | google/jax | update out of date comment in Pmap_Cookbook.ipynb
update comment regarding `pmap` not support `in_axes` because it does now. |
260,411 | 31.01.2021 14:58:14 | -7,200 | a145e3d414e136015d2df23efc5f74e6ec61c90f | Pin numpy to max version 1.19, to avoid errors with 1.20
Will fix the numpy errors separately. | [
{
"change_type": "MODIFY",
"old_path": "build/test-requirements.txt",
"new_path": "build/test-requirements.txt",
"diff": "flake8\n+# For now, we pin the numpy version here, because jaxlib 0.1.59 was built with >=1.12\n+numpy>=1.12,<1.20\n# Must be kept in sync with the minimum jaxlib version in jax/... | Python | Apache License 2.0 | google/jax | Pin numpy to max version 1.19, to avoid errors with 1.20
Will fix the numpy errors separately. |
260,411 | 31.01.2021 16:23:39 | -7,200 | 580a8f54cf30d858bf20173313ec3f47a5beac56 | Update Pmap_Cookbook.ipynb
I am doing this mostly to trigger another run of CI; there was a problem with our CI runs and this PR appears to be failing tests. | [
{
"change_type": "MODIFY",
"old_path": "cloud_tpu_colabs/Pmap_Cookbook.ipynb",
"new_path": "cloud_tpu_colabs/Pmap_Cookbook.ipynb",
"diff": "\"source\": [\n\"Notice that applying `vmap(f)` to these arguments leads to a `dot_general` to express the batch matrix multiplication in a single primitive, wh... | Python | Apache License 2.0 | google/jax | Update Pmap_Cookbook.ipynb
I am doing this mostly to trigger another run of CI; there was a problem with our CI runs and this PR appears to be failing tests. |
260,411 | 31.01.2021 17:10:14 | -7,200 | cefab2ca5d8c384b13cefac2ff1ffd83dcd54dae | Disable the "with numpy-dispatch" test action.
As numpy 1.20 was released recently, and triggers some errors
in the GitHub CI, we pin numpy to 1.19. It seems that we still
get failures when trying to import numpy-dispatch. We
disable it until we figure out the problem. | [
{
"change_type": "MODIFY",
"old_path": ".github/workflows/ci-build.yaml",
"new_path": ".github/workflows/ci-build.yaml",
"diff": "@@ -58,14 +58,6 @@ jobs:\nenable-omnistaging: 1\npackage-overrides: \"none\"\nnum_generated_cases: 25\n- - name-prefix: \"with numpy-dispatch\"\n- python-version: 3.9\n- ... | Python | Apache License 2.0 | google/jax | Disable the "with numpy-dispatch" test action.
As numpy 1.20 was released recently, and triggers some errors
in the GitHub CI, we pin numpy to 1.19. It seems that we still
get failures when trying to import numpy-dispatch. We
disable it until we figure out the problem. |
260,411 | 29.01.2021 19:55:02 | -3,600 | 617d77e0374123b6dee111a03f6d7649d845ac5c | Improve error message for when backward function in custom_vjp does not return
a tuple.
Prior to this we got an assertion that `py_cts_in is not iterable`. | [
{
"change_type": "MODIFY",
"old_path": "jax/custom_derivatives.py",
"new_path": "jax/custom_derivatives.py",
"diff": "@@ -545,12 +545,14 @@ def _flatten_bwd(in_tree, in_avals, out_trees, *args):\n# corresponding subtree of in_tree and with leaves of a non-pytree sentinel\n# object, to be replaced wi... | Python | Apache License 2.0 | google/jax | Improve error message for when backward function in custom_vjp does not return
a tuple.
Prior to this we got an assertion that `py_cts_in is not iterable`. |
260,411 | 31.01.2021 16:58:20 | -7,200 | f2530010a5a0055ecf021c88f2df1a924c207da4 | [jax2tf] Added tests for sharded_jit.
These tests are only looking at the HLO sharding annotations. | [
{
"change_type": "ADD",
"old_path": null,
"new_path": "jax/experimental/jax2tf/tests/sharding_test.py",
"diff": "+# Copyright 2021 Google LLC\n+#\n+# Licensed under the Apache License, Version 2.0 (the \"License\");\n+# you may not use this file except in compliance with the License.\n+# You may obt... | Python | Apache License 2.0 | google/jax | [jax2tf] Added tests for sharded_jit.
These tests are only looking at the HLO sharding annotations. |
260,287 | 28.01.2021 18:19:36 | 0 | a7f9b84bf1c858f950ac9c73ab23be88b6feda9c | Implement a trivial ppermute collective batcher
Splitting a single-dimensional ppermute into multiple permutations is a
hard problem in general, but not when we're splitting a size-1
dimension. More importantly, this is the case that's triggered by any
`xmap` of a `ppermute`, so we better have an implementation ready! | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -652,9 +652,16 @@ def _ppermute_transpose_rule(t, x, perm, axis_name):\nreturn [ppermute(t, axis_name=axis_name, perm=inverse_perm)]\ndef _ppermute_batcher(frame, vals_in, dims_in, ... | Python | Apache License 2.0 | google/jax | Implement a trivial ppermute collective batcher
Splitting a single-dimensional ppermute into multiple permutations is a
hard problem in general, but not when we're splitting a size-1
dimension. More importantly, this is the case that's triggered by any
`xmap` of a `ppermute`, so we better have an implementation ready! |
260,484 | 01.02.2021 14:00:44 | -10,800 | c71a4f5871bef19d2f9b6e4d56c0209217205691 | Try to download bazel as the last resort
Resolution order of paths to bazel binary is as follows.
1. Use --bazel_path command line option.
2. Search bazel binary in PATH environment variable.
3. Download required bazel release. | [
{
"change_type": "MODIFY",
"old_path": "build/build.py",
"new_path": "build/build.py",
"diff": "@@ -144,44 +144,49 @@ def download_and_verify_bazel():\nreturn os.path.join(\".\", package.file)\n-def get_bazel_path(bazel_path_flag):\n- \"\"\"Returns the path to a Bazel binary, downloading Bazel if no... | Python | Apache License 2.0 | google/jax | Try to download bazel as the last resort
Resolution order of paths to bazel binary is as follows.
1. Use --bazel_path command line option.
2. Search bazel binary in PATH environment variable.
3. Download required bazel release. |
260,709 | 01.02.2021 16:23:21 | 28,800 | 2f6ed3cfeaf0e6ebefb763ec7e38c0ae1a132b99 | Initialize variables in LAPACK work size queries to prevent false positives in memory sanitizers.
Related prior art in SciPy: | [
{
"change_type": "MODIFY",
"old_path": "jaxlib/lapack.pyx",
"new_path": "jaxlib/lapack.pyx",
"diff": "@@ -434,9 +434,9 @@ def getrf(c, a):\n# ?geqrf: QR decomposition\ncdef int lapack_sgeqrf_workspace(int m, int n):\n- cdef float work\n+ cdef float work = 0\ncdef int lwork = -1\n- cdef int info\n+ c... | Python | Apache License 2.0 | google/jax | Initialize variables in LAPACK work size queries to prevent false positives in memory sanitizers.
Related prior art in SciPy: https://github.com/scipy/scipy/pull/9054 |
260,411 | 02.02.2021 10:31:04 | -7,200 | ec2301a9ce58101e6374af32abd4c400a35b3914 | Update limitations docs | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/g3doc/jax_primitives_coverage.md",
"new_path": "jax/experimental/jax2tf/g3doc/jax_primitives_coverage.md",
"diff": "# Primitives with limited JAX support\n-*Last generated on: 2021-01-29* (YYYY-MM-DD)\n+*Last generated on: 2021-02-02* (... | Python | Apache License 2.0 | google/jax | Update limitations docs |
260,287 | 01.02.2021 16:49:46 | 0 | e11c4fffac4c1fe9fad301f6184539e8f7121735 | Add support for axis names in jax.scipy.special.logsumexp | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/scipy/special.py",
"new_path": "jax/_src/scipy/special.py",
"diff": "@@ -102,26 +102,26 @@ expit.defjvps(lambda g, ans, x: g * ans * (lax._const(ans, 1) - ans))\ndef logsumexp(a, axis=None, b=None, keepdims=False, return_sign=False):\nif b is not None... | Python | Apache License 2.0 | google/jax | Add support for axis names in jax.scipy.special.logsumexp |
260,411 | 02.02.2021 15:47:13 | -7,200 | d25d37811551f0bb5bf9756f4fdcb7f946928791 | Fixes for numpy 1.20
It seems that `np.ndim` and `np.shape` fail in version 1.20
when used on sequences of Tracers. We avoid invoking these
functions in places where this may happen. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/control_flow.py",
"new_path": "jax/_src/lax/control_flow.py",
"diff": "@@ -662,7 +662,7 @@ def cond(*args, **kwargs):\nreturn _cond(*args, **kwargs)\ndef _cond(pred, true_fun: Callable, false_fun: Callable, operand):\n- if len(np.shape(pred)) != 0... | Python | Apache License 2.0 | google/jax | Fixes for numpy 1.20
It seems that `np.ndim` and `np.shape` fail in version 1.20
when used on sequences of Tracers. We avoid invoking these
functions in places where this may happen. |
260,287 | 02.02.2021 14:06:42 | 0 | f812402d373e17711efb926b91d813bc5fab2bf3 | Add support for named axes in jax.nn.one_hot | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/nn/functions.py",
"new_path": "jax/_src/nn/functions.py",
"diff": "\"\"\"Shared neural network activations and other functions.\"\"\"\n+import operator\nimport numpy as np\nfrom typing import Any, Optional, Tuple, Union\n@@ -22,6 +23,8 @@ from jax imp... | Python | Apache License 2.0 | google/jax | Add support for named axes in jax.nn.one_hot |
260,287 | 02.02.2021 15:39:23 | 0 | a8b1f5f78fe08e03a953aff6b0a0dc84ab72f768 | Add axis_sizes to xmap
Right now, all axis sizes have to be inferred from arguments to xmap
which is unnecessarily strict. This lets users specify explicit sizes,
allowing them to handle e.g. empty dicts that were supposed to contain
mapped arguments. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/maps.py",
"new_path": "jax/experimental/maps.py",
"diff": "@@ -210,6 +210,8 @@ def _prepare_axes(axes, arg_name):\ndef xmap(fun: Callable,\nin_axes,\nout_axes,\n+ *,\n+ axis_sizes: Dict[AxisName, int] = {},\naxis_resources: Dict[AxisName, Unio... | Python | Apache License 2.0 | google/jax | Add axis_sizes to xmap
Right now, all axis sizes have to be inferred from arguments to xmap
which is unnecessarily strict. This lets users specify explicit sizes,
allowing them to handle e.g. empty dicts that were supposed to contain
mapped arguments. |
260,411 | 03.02.2021 11:06:18 | -7,200 | d3186b195f814c124ecc05deb0cefbe2c6a0aef8 | Tightened the API of some jax.numpy functions
Do not accept tuples and lists in lieu of array arguments | [
{
"change_type": "MODIFY",
"old_path": "docs/CHANGELOG.rst",
"new_path": "docs/CHANGELOG.rst",
"diff": "@@ -22,6 +22,10 @@ jax 0.2.10 (Unreleased)\n* :func:`jax.numpy.i0` no longer accepts complex numbers. Previously the\nfunction computed the absolute value of complex arguments. This change was\nma... | Python | Apache License 2.0 | google/jax | Tightened the API of some jax.numpy functions
Do not accept tuples and lists in lieu of array arguments |
260,615 | 03.02.2021 15:09:21 | 18,000 | 48864a665b231e5e3994c06089c934ce6cb2dbe1 | Add logdf and pdf for chisquare distribution
Add tests
Lint with flake8 fails. Should pass now
newline at end of file for flake8
docs and changes
remove whitespace in changeloc | [
{
"change_type": "MODIFY",
"old_path": "docs/CHANGELOG.rst",
"new_path": "docs/CHANGELOG.rst",
"diff": "@@ -11,6 +11,7 @@ jax 0.2.10 (Unreleased)\n-----------------------\n* `GitHub commits <https://github.com/google/jax/compare/jax-v0.2.9...master>`__.\n* New features:\n+ * :func:`jax.scipy.stats.c... | Python | Apache License 2.0 | google/jax | Add logdf and pdf for chisquare distribution
Add tests
Lint with flake8 fails. Should pass now
newline at end of file for flake8
docs and changes
remove whitespace in changeloc |
260,287 | 04.02.2021 12:45:20 | 0 | 76e8deb06416ae4088d16044c31ec69777c289ff | Throw in `jax.random.bernoulli` for good measure
Because it's useful in implementing dropout over named axes. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/random.py",
"new_path": "jax/_src/random.py",
"diff": "@@ -774,7 +774,7 @@ def _truncated_normal(key, lower, upper, shape, dtype) -> jnp.ndarray:\ndef bernoulli(key: jnp.ndarray,\np: jnp.ndarray = np.float32(0.5),\n- shape: Optional[Sequence[int]] = N... | Python | Apache License 2.0 | google/jax | Throw in `jax.random.bernoulli` for good measure
Because it's useful in implementing dropout over named axes. |
260,424 | 04.02.2021 13:55:36 | 0 | bea17e573df56ab02e2a2f4dcc22c842b5d6acc4 | Fix a _check_arraylike error.
Before, if `repeats` was the the non-array arg the error would display
the wrong arg position (position 0 -> position 1) | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -3178,8 +3178,7 @@ will be repeated.\n@_wraps(np.repeat, lax_description=_TOTAL_REPEAT_LENGTH_DOC)\ndef repeat(a, repeats, axis: Optional[int] = None, *, total_repeat_length=N... | Python | Apache License 2.0 | google/jax | Fix a _check_arraylike error.
Before, if `repeats` was the the non-array arg the error would display
the wrong arg position (position 0 -> position 1) |
260,287 | 05.02.2021 10:52:54 | 0 | a7d616e3d40824caeab07ff39757a43cb6f75aca | Fix a bug in xmap mesh slicing code
The previous version didn't adjust the axes indices after slicing the
devices array, leading to out-of-bounds errors when doing the transpose. | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -1371,12 +1371,12 @@ class Mesh:\nreturn Mesh(self.devices[subcube_indices], self.axis_names)\ndef __getitem__(self, new_axes):\n- indices = [0] * len(self.axis_names)\naxis_pos = {... | Python | Apache License 2.0 | google/jax | Fix a bug in xmap mesh slicing code
The previous version didn't adjust the axes indices after slicing the
devices array, leading to out-of-bounds errors when doing the transpose. |
260,287 | 05.02.2021 10:50:51 | 0 | 1194115e821f08d07a8b50d3409ff3ea1d950380 | Make sure that samplers with names don't depend on axis resources | [
{
"change_type": "MODIFY",
"old_path": "tests/xmap_test.py",
"new_path": "tests/xmap_test.py",
"diff": "@@ -69,6 +69,8 @@ def tearDownModule():\nos.environ[\"XLA_FLAGS\"] = prev_xla_flags\nxla_bridge.get_backend.cache_clear()\n+# -------------------- Mesh parametrization helpers --------------------... | Python | Apache License 2.0 | google/jax | Make sure that samplers with names don't depend on axis resources |
260,287 | 04.02.2021 14:01:56 | 0 | 1361ae1247091e404e723e2fcc71a2dfffc8bd5d | Add positional axis handling to the psum transpose rule
I must have forgotten to do that in one of the previous patches and
apparently we didn't have any tests for it (at least in the `vmap`
case)! | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -650,10 +650,20 @@ def _notuple_allreduce_translation_rule(prim, c, *args, named_axes, axis_env,\nreturn xops.Tuple(c, outs)\ndef _psum_transpose_rule(cts, *args, axes, axis_index_g... | Python | Apache License 2.0 | google/jax | Add positional axis handling to the psum transpose rule
I must have forgotten to do that in one of the previous patches and
apparently we didn't have any tests for it (at least in the `vmap`
case)! |
260,287 | 04.02.2021 15:45:23 | 0 | 45dc712e779557a24a354c34574dede95f034741 | Don't require ellipsis at the end of each list axis spec in xmap
Skipping the ellipsis will make xmap assert that your inputs are of
ranks matching the length of the list. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/maps.py",
"new_path": "jax/experimental/maps.py",
"diff": "@@ -170,12 +170,18 @@ def fresh_resource_name(tag=None):\n# This is really a Dict[AxisName, int], but we don't define a\n# pytree instance for it, so that it is treated as a leaf.\ncla... | Python | Apache License 2.0 | google/jax | Don't require ellipsis at the end of each list axis spec in xmap
Skipping the ellipsis will make xmap assert that your inputs are of
ranks matching the length of the list. |
260,287 | 05.02.2021 17:12:23 | 0 | 6ada0b02a81eb5d237644d8d46a69fa235e3e77c | Hotfix for psum transpose
The previous patch has been causing some failures in the
`is_undefined_primal` assertion in `broadcast_position`, but it looks
like in all of those cases there are no positional axes, so this should
fix them. More debugging underway, but I wanted to make sure they're
unblocked. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -654,6 +654,7 @@ def _psum_transpose_rule(cts, *args, axes, axis_index_groups):\nfor axis in axes:\naxes_partition[isinstance(axis, int)].append(axis)\n+ if pos_axes:\ndef broadcast... | Python | Apache License 2.0 | google/jax | Hotfix for psum transpose
The previous patch has been causing some failures in the
`is_undefined_primal` assertion in `broadcast_position`, but it looks
like in all of those cases there are no positional axes, so this should
fix them. More debugging underway, but I wanted to make sure they're
unblocked. |
260,615 | 05.02.2021 15:13:09 | 18,000 | a3ad787402ced1a85864783395410c94c4584964 | Add betabinomial logpmf/pmf and tests
Squash all changes to single commit. Add betabinom
Add tests for betabinom. nan where undefefined
squash | [
{
"change_type": "MODIFY",
"old_path": "docs/CHANGELOG.rst",
"new_path": "docs/CHANGELOG.rst",
"diff": "@@ -12,6 +12,7 @@ jax 0.2.10 (Unreleased)\n* `GitHub commits <https://github.com/google/jax/compare/jax-v0.2.9...master>`__.\n* New features:\n* :func:`jax.scipy.stats.chi2` is now available as a ... | Python | Apache License 2.0 | google/jax | Add betabinomial logpmf/pmf and tests
Squash all changes to single commit. Add betabinom
Add tests for betabinom. nan where undefefined
squash |
260,335 | 05.02.2021 16:25:23 | 28,800 | bb4d46c25b93e0bf5ded8b64e3929b8ceeba938a | make vmap-of-cond preserve nan safety
Thanks to John Jumper and Jonas Adler! | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/control_flow.py",
"new_path": "jax/_src/lax/control_flow.py",
"diff": "@@ -754,47 +754,58 @@ def _select_tree(indices, branch_vals):\nassert len(branch_vals) > 0\nif len(branch_vals) == 1:\nreturn branch_vals[0]\n- mid = len(branch_vals) // 2\n- m... | Python | Apache License 2.0 | google/jax | make vmap-of-cond preserve nan safety
Thanks to John Jumper and Jonas Adler! |
260,719 | 06.02.2021 22:05:06 | -19,080 | 108d078c5f55507330873f6310a1c205f01dcc59 | add support for union1d
add union1d in jax.numpy which closely follows
numpy implementaion | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.numpy.rst",
"new_path": "docs/jax.numpy.rst",
"diff": "@@ -362,6 +362,7 @@ Not every function in NumPy is implemented; contributions are welcome!\nuint64\nuint8\nunique\n+ union1d\nunpackbits\nunravel_index\nunsignedinteger\n"
},
{
"change_typ... | Python | Apache License 2.0 | google/jax | add support for union1d
add union1d in jax.numpy which closely follows
numpy implementaion |
260,287 | 04.02.2021 14:53:38 | 0 | 0b7febea390932c7d9e728037c5e91dc188f5381 | Add argument donation for xmap
Also, pass the body to XLA JIT when no parallel resources are used.
There is no reason to not do that given that we already require users to
pay the price of making their code jittable. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/maps.py",
"new_path": "jax/experimental/maps.py",
"diff": "@@ -28,7 +28,8 @@ from .. import linear_util as lu\nfrom ..api import _check_callable, _check_arg\nfrom ..tree_util import (tree_flatten, tree_unflatten, all_leaves,\n_replace_nones, t... | Python | Apache License 2.0 | google/jax | Add argument donation for xmap
Also, pass the body to XLA JIT when no parallel resources are used.
There is no reason to not do that given that we already require users to
pay the price of making their code jittable. |
260,287 | 08.02.2021 12:18:33 | 0 | 692e31c92401aaf65c546612db32f11a483ab0ea | Small cleanup of xmap tests | [
{
"change_type": "MODIFY",
"old_path": "tests/xmap_test.py",
"new_path": "tests/xmap_test.py",
"diff": "@@ -89,6 +89,14 @@ def with_mesh(named_shape: MeshSpec) -> Generator[None, None, None]:\ndef with_mesh_from_kwargs(f):\nreturn lambda *args, **kwargs: with_mesh(kwargs['mesh'])(f)(*args, **kwargs)... | Python | Apache License 2.0 | google/jax | Small cleanup of xmap tests |
260,287 | 05.02.2021 11:34:32 | 0 | 6965e8bbe3f2f2682fe0b3966ae5b85487256e0c | Add support for named axes in jnp.mean and jnp.std | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -26,6 +26,7 @@ rules for the underlying :code:`lax` primitives.\nimport builtins\nimport collections\n+import collections.abc\nimport operator\nimport os\nimport types\n@@ -50... | Python | Apache License 2.0 | google/jax | Add support for named axes in jnp.mean and jnp.std |
260,287 | 08.02.2021 20:09:33 | 0 | b19dd8758198e51c85b31c0c0d11ca674c30b391 | Add a pgather primitive, making it possible to index into mapped axes | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -18,6 +18,7 @@ Parallelization primitives.\nimport collections\nimport string\nimport warnings\n+from typing import Union\nimport numpy as np\n@@ -26,13 +27,13 @@ from jax import dt... | Python | Apache License 2.0 | google/jax | Add a pgather primitive, making it possible to index into mapped axes |
260,335 | 09.02.2021 11:19:09 | 28,800 | 7394048782ed574f2fc6c21ff7d1aec683cb5f1e | make jax.eval_shape duck typing more robust | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -2318,8 +2318,14 @@ def eval_shape(fun: Callable, *args, **kwargs):\n>>> print(out.dtype)\nfloat32\n\"\"\"\n+ def dtype(x):\n+ try:\n+ return dtypes.result_type(x)\n+ except ValueError:\n+ return dtypes.result... | Python | Apache License 2.0 | google/jax | make jax.eval_shape duck typing more robust |
260,335 | 08.02.2021 20:24:19 | 28,800 | ffb3873e5aaf759a984eb54b6c0adc7b53884a50 | add pargmax, pargmin wrappers | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -180,6 +180,23 @@ def pmin(x, axis_name, *, axis_index_groups=None):\naxis_index_groups=axis_index_groups)\nreturn tree_util.tree_unflatten(treedef, out_flat)\n+# TODO(mattjj): add ... | Python | Apache License 2.0 | google/jax | add pargmax, pargmin wrappers |
260,287 | 09.02.2021 17:01:26 | 0 | 926b2ad03f65736cc52a409b26cc7dbe7117b23a | Minor fixes for xmap docstring, xeinsum parser
The regression loss example from the xmap docstring was broken and
the xeinsum parser didn't accept empty parens while it should. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -451,8 +451,8 @@ class XeinsumSpecParser:\naxis_name = self.spec[self.pos:end]\nassert axis_name\n- self.pos = end + 1\n- return axis_name, self.spec[end] == ','\n+ self.pos = end\n... | Python | Apache License 2.0 | google/jax | Minor fixes for xmap docstring, xeinsum parser
The regression loss example from the xmap docstring was broken and
the xeinsum parser didn't accept empty parens while it should. |
260,335 | 11.02.2021 08:30:37 | 28,800 | e47c933fd328a012a5bb4cdecaf15f6a0b360346 | fix/skip test failures | [
{
"change_type": "MODIFY",
"old_path": "tests/pmap_test.py",
"new_path": "tests/pmap_test.py",
"diff": "@@ -1660,15 +1660,23 @@ class PmapTest(jtu.JaxTestCase):\naxis, collective.__name__.replace(\" \", \"\")),\n\"shape\": shape, \"dtype\": dtype, \"axis\": axis,\n\"collective\": collective, \"bulk_... | Python | Apache License 2.0 | google/jax | fix/skip test failures |
260,335 | 12.02.2021 10:30:46 | 28,800 | 268493bae899008e87d819377be50a23e91d4e71 | specialize standard_primitive back to single-out | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -1996,43 +1996,53 @@ def _argnum_weak_type(*argnums):\nreturn lambda *args, **_: all(args[i].weak_type for i in argnums)\ndef standard_primitive(shape_rule, dtype_rule, name, translation_rule... | Python | Apache License 2.0 | google/jax | specialize standard_primitive back to single-out |
260,411 | 05.02.2021 12:04:25 | -7,200 | fd2b9b4759816eb0bdd4218f48039269cf9645a8 | [call_tf] Add support for DLPack to avoid copying arrays in eager mode | [
{
"change_type": "MODIFY",
"old_path": "docs/CHANGELOG.md",
"new_path": "docs/CHANGELOG.md",
"diff": "@@ -13,6 +13,9 @@ PLEASE REMEMBER TO CHANGE THE '..master' WITH AN ACTUAL TAG in GITHUB LINK.\n* New features:\n* {func}`jax.scipy.stats.chi2` is now available as a distribution with logpdf and pdf ... | Python | Apache License 2.0 | google/jax | [call_tf] Add support for DLPack to avoid copying arrays in eager mode |
260,484 | 13.02.2021 16:32:21 | -10,800 | 96193cef122212b27ed797c6f8d8714778cc051d | Simplify bazel version check | [
{
"change_type": "MODIFY",
"old_path": "build/build.py",
"new_path": "build/build.py",
"diff": "@@ -145,7 +145,7 @@ def download_and_verify_bazel():\ndef get_bazel_paths(bazel_path_flag):\n- \"\"\"Yields a sequence of a guess about bazel path. Some of sequence elements\n+ \"\"\"Yields a sequence of ... | Python | Apache License 2.0 | google/jax | Simplify bazel version check |
260,411 | 13.02.2021 15:47:42 | -7,200 | 25dbe9748730b42fff82fe6b23604e7afc18128a | Update gpu_memory_allocation.rst
Discovered that the link did not work anymore | [
{
"change_type": "MODIFY",
"old_path": "docs/gpu_memory_allocation.rst",
"new_path": "docs/gpu_memory_allocation.rst",
"diff": "@@ -54,7 +54,7 @@ Common causes of OOM failures\nin TF1, which should be set in a :code:`tf.ConfigProto` passed to\n:code:`tf.Session`. See\n`Using GPUs: Limiting GPU memor... | Python | Apache License 2.0 | google/jax | Update gpu_memory_allocation.rst
Discovered that the link did not work anymore |
260,335 | 13.02.2021 08:19:31 | 28,800 | 671fe938bd8d5087889a7971161a6290ee24fe12 | make map/unmap aval functions extensible
Also, use them in batching.py.
This change is needed for the dynamic shapes prototype in since
we add new types that can be mapped over. | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -1425,6 +1425,38 @@ named_call_p.def_impl(call_impl)\n# ------------------- Map -------------------\n+def mapped_aval(size: int, axis: int, aval: AbstractValue) -> AbstractValue:\n+ handler, _ = aval_mapping... | Python | Apache License 2.0 | google/jax | make map/unmap aval functions extensible
Also, use them in batching.py.
This change is needed for the dynamic shapes prototype in #5717, since
we add new types that can be mapped over. |
260,335 | 17.02.2021 07:31:38 | 28,800 | 9b18135b6e0f33766b278f95e001f002c394c2e1 | Rollback of due to internal breakage. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -1996,19 +1996,15 @@ def _argnum_weak_type(*argnums):\nreturn lambda *args, **_: all(args[i].weak_type for i in argnums)\ndef standard_primitive(shape_rule, dtype_rule, name, translation_rule... | Python | Apache License 2.0 | google/jax | Rollback of #5702 due to internal breakage.
PiperOrigin-RevId: 357943850 |
260,628 | 18.02.2021 11:08:41 | 18,000 | 4c202ad22209f44eed360f585fbfbfe51abaf42b | implement np.polyint | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.numpy.rst",
"new_path": "docs/jax.numpy.rst",
"diff": "@@ -283,6 +283,7 @@ Not every function in NumPy is implemented; contributions are welcome!\npiecewise\npolyadd\npolyder\n+ polyint\npolymul\npolysub\npolyval\n"
},
{
"change_type": "MODIFY... | Python | Apache License 2.0 | google/jax | implement np.polyint (#70) |
260,335 | 18.02.2021 09:46:16 | 28,800 | 5a97eab2a0e3a4437a0f6cb0209f0de3c335c6a3 | improve error messages for grad(..., has_aux=True)
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/api_util.py",
"new_path": "jax/api_util.py",
"diff": "@@ -75,7 +75,11 @@ def apply_flat_fun_nokwargs(fun, io_tree, py_args):\n@lu.transformation_with_aux\ndef flatten_fun_nokwargs2(in_tree, *args_flat):\npy_args = tree_unflatten(in_tree, args_flat)\n- ans,... | Python | Apache License 2.0 | google/jax | improve error messages for grad(..., has_aux=True)
fixes #5776 |
260,518 | 19.02.2021 12:37:04 | 28,800 | 80a8204fdb90ca5201d9501a6ffe62051293f060 | Update thinking_in_jax.ipynb
Fix typo in notebook url. | [
{
"change_type": "MODIFY",
"old_path": "docs/notebooks/thinking_in_jax.ipynb",
"new_path": "docs/notebooks/thinking_in_jax.ipynb",
"diff": "\"source\": [\n\"# How to Think in JAX\\n\",\n\"\\n\",\n- \"[](https://colab.sandbox.g... | Python | Apache License 2.0 | google/jax | Update thinking_in_jax.ipynb
Fix typo in notebook url. |
260,712 | 19.02.2021 12:57:57 | 28,800 | 77905ef5fd72615d2fcbc7ef7eedc37988e03f80 | Update build.py with Cloud TPU support
Update build.py to have Cloud TPU support by default.
b/180656002 | [
{
"change_type": "MODIFY",
"old_path": "build/build.py",
"new_path": "build/build.py",
"diff": "@@ -271,6 +271,9 @@ build:short_logs --output_filter=DONT_MATCH_ANYTHING\n# Workaround for gcc 10+ warnings related to upb.\n# See https://github.com/tensorflow/tensorflow/issues/39467\nbuild:linux --copt... | Python | Apache License 2.0 | google/jax | Update build.py with Cloud TPU support
Update build.py to have Cloud TPU support by default.
b/180656002 |
260,518 | 19.02.2021 21:59:47 | 28,800 | bb5ae556adb60398db532578b142e9d5c44d094a | Update thinking_in_jax.md | [
{
"change_type": "MODIFY",
"old_path": "docs/notebooks/thinking_in_jax.md",
"new_path": "docs/notebooks/thinking_in_jax.md",
"diff": "@@ -33,7 +33,7 @@ ipython.showtraceback = minimal_traceback\n# How to Think in JAX\n-[](http... | Python | Apache License 2.0 | google/jax | Update thinking_in_jax.md |
260,346 | 20.02.2021 18:18:32 | -3,600 | 074abba6822a890e53a426b9b77b1fac37cb6a8a | Fix error message string interpolation | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -2568,7 +2568,7 @@ def _broadcast_to_pairs(nvals, nd, name):\nreturn tuple((nvals.flat[0], nvals.flat[0]) for i in range(nd))\nelse:\nraise ValueError(f\"{name} given unexpect... | Python | Apache License 2.0 | google/jax | Fix error message string interpolation |
260,346 | 20.02.2021 20:06:47 | -3,600 | 5fc1730eec3c7fd734461bdf391c3fcda253e427 | Also print function ID in compile reason logs. | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -777,8 +777,8 @@ def parallel_callable(fun: lu.WrappedFun,\nlog_priority = logging.WARNING if FLAGS.jax_log_compiles else logging.DEBUG\nlogging.log(log_priority,\n- f\"Compiling {f... | Python | Apache License 2.0 | google/jax | Also print function ID in compile reason logs. |
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