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 |
|---|---|---|---|---|---|---|---|---|---|
260,335 | 12.10.2020 14:30:32 | 25,200 | dbebc9ad04556824d75c6bc64b4f6d156e3bfc55 | remove double warning with asarray dtype='int' | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -2500,6 +2500,7 @@ def _can_call_numpy_array(x):\n@_wraps(np.asarray)\ndef asarray(a, dtype=None, order=None):\nlax._check_user_dtype_supported(dtype, \"asarray\")\n+ dtype = dtypes.can... | Python | Apache License 2.0 | google/jax | remove double warning with asarray dtype='int' |
260,335 | 14.10.2020 14:30:09 | 25,200 | b99e350aed0e2c59cdcc5a1fc69d8dd8a7932f9f | add iota_p support to jax2tf | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -24,7 +24,6 @@ from jax import config\nfrom jax import core\nfrom jax import custom_derivatives\nfrom jax import dtypes\n-from jax import lax\nfrom jax import lax_... | Python | Apache License 2.0 | google/jax | add iota_p support to jax2tf |
260,335 | 14.10.2020 14:40:29 | 25,200 | a5f906a9f69acff76203db82a6262fac7d5708c6 | jax2tf import fix | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -465,7 +465,7 @@ tf_not_yet_impl = [\n]\ntry:\n- tf_impl[lax.lax.tie_in_p] = lambda x, y: y\n+ tf_impl[lax.tie_in_p] = lambda x, y: y\nexcept AttributeError:\npass... | Python | Apache License 2.0 | google/jax | jax2tf import fix |
260,335 | 14.10.2020 18:51:42 | 25,200 | f553ed24e16f0877bbaecc2d8b920ec8ae160d9c | Temporary rollback of pending a possible XLA bug it exposed in an internal test. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -25,6 +25,7 @@ from jax import config\nfrom jax import core\nfrom jax import custom_derivatives\nfrom jax import dtypes\n+from jax import lax\nfrom jax import lax_... | Python | Apache License 2.0 | google/jax | Temporary rollback of #4535 pending a possible XLA bug it exposed in an internal test.
PiperOrigin-RevId: 337219426 |
260,268 | 15.10.2020 11:06:18 | 14,400 | f7d4063e555bf1c4f653fc104529b48e75267332 | Remove expit, add logsumexp to docs | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.nn.rst",
"new_path": "docs/jax.nn.rst",
"diff": "@@ -47,3 +47,4 @@ Other functions\nlog_softmax\nnormalize\none_hot\n+ logsumexp\n"
},
{
"change_type": "MODIFY",
"old_path": "jax/nn/__init__.py",
"new_path": "jax/nn/__init__.py",
"... | Python | Apache License 2.0 | google/jax | Remove expit, add logsumexp to docs |
260,335 | 15.10.2020 10:53:16 | 25,200 | 3a75145fd2a269531e8f13cca97f6020803f0653 | allow custom_vjp bwd to return Nones for zeros
This change sets up some internal users so that we can then land | [
{
"change_type": "MODIFY",
"old_path": "jax/custom_derivatives.py",
"new_path": "jax/custom_derivatives.py",
"diff": "@@ -23,7 +23,7 @@ from .tree_util import tree_flatten, tree_unflatten, tree_map, tree_multimap\nfrom .util import safe_zip, safe_map, split_list\nfrom .api_util import flatten_fun_no... | Python | Apache License 2.0 | google/jax | allow custom_vjp bwd to return Nones for zeros
This change sets up some internal users so that we can then land #4008. |
260,335 | 15.10.2020 16:18:43 | 25,200 | 867828764454ce27c3d6511af6a21ed365b6f2be | remove an extraneous replace_float0s
This caused a test failure when trying to land | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/ad.py",
"new_path": "jax/interpreters/ad.py",
"diff": "@@ -323,9 +323,6 @@ class JVPTrace(Trace):\ndef process_custom_vjp_call(self, _, __, fwd, bwd, tracers, *, out_trees):\nprimals_in, tangents_in = unzip2((t.primal, t.tangent) for t in trac... | Python | Apache License 2.0 | google/jax | remove an extraneous replace_float0s
This caused a test failure when trying to land #4008. |
260,335 | 15.10.2020 21:58:27 | 25,200 | f3b4f43c2036df1fe885127154eb75573d95bc2c | temporarily work around a bug that will fix | [
{
"change_type": "MODIFY",
"old_path": "jax/custom_derivatives.py",
"new_path": "jax/custom_derivatives.py",
"diff": "@@ -608,6 +608,7 @@ def _custom_vjp_call_jaxpr_vmap(args, in_dims, *, fun_jaxpr, fwd_jaxpr_thunk,\nfwd_jaxpr_thunk=batched_fwd_jaxpr_thunk, bwd=batched_bwd,\nout_trees=out_trees)\nou... | Python | Apache License 2.0 | google/jax | temporarily work around a bug that #4008 will fix |
260,411 | 16.10.2020 10:52:56 | -10,800 | 5efdaa4d85a3075f6f1f466671bfb3963ef05508 | [host_callback] Added support for remat. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/host_callback.py",
"new_path": "jax/experimental/host_callback.py",
"diff": "@@ -613,6 +613,7 @@ def _rewrite_eqn(eqn: core.JaxprEqn, eqns: List[core.JaxprEqn],\nmk_new_var: Callable[[core.AbstractValue], core.Var]):\n\"\"\"Rewrite an `eqn` an... | Python | Apache License 2.0 | google/jax | [host_callback] Added support for remat. |
260,273 | 15.10.2020 13:53:03 | 0 | 807e7a4a457feca4d40cc2757ddadad1796ec2b9 | Do not promote literal dims to Poly | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/masking.py",
"new_path": "jax/interpreters/masking.py",
"diff": "@@ -338,7 +338,7 @@ _identifiers = frozenset(string.ascii_lowercase)\ndef _parse_id(name): return Poly({Mon({name: 1}): 1})\n-def _parse_lit(val_str): return Poly({Mon(): int(val... | Python | Apache License 2.0 | google/jax | Do not promote literal dims to Poly |
260,335 | 16.10.2020 12:41:23 | 25,200 | 3bf58ddebb765061dbe6803181acddb6952c8f02 | demote polys to ints eagerly after each shape rule | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/masking.py",
"new_path": "jax/interpreters/masking.py",
"diff": "@@ -110,9 +110,12 @@ def eval_poly(poly, values_dict):\ndef _ensure_poly(p):\nif type(p) is Poly:\nreturn p\n-\nreturn Poly({Mon(): p})\n+def _polys_to_ints(shape):\n+ return tup... | Python | Apache License 2.0 | google/jax | demote polys to ints eagerly after each shape rule |
260,335 | 16.10.2020 13:11:56 | 25,200 | e51163af32f229fd36b74589f923215daf4a0504 | only pass hashable values as static args | [
{
"change_type": "MODIFY",
"old_path": "docs/notebooks/vmapped_log_probs.ipynb",
"new_path": "docs/notebooks/vmapped_log_probs.ipynb",
"diff": "\" beta_sample = beta_loc + jnp.exp(beta_log_scale) * epsilon\\n\",\n\" return jnp.mean(batched_log_joint(beta_sample), 0) + jnp.sum(beta_log_scale - 0.5 * ... | Python | Apache License 2.0 | google/jax | only pass hashable values as static args |
260,510 | 16.10.2020 14:53:23 | 25,200 | e8901d51af2ef95a13fe0826e52c4fa68c05a14b | Add default implementation of process_custom_jvp_call and
process_custom_vjp_call to `jax.experimental.callback` | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/callback.py",
"new_path": "jax/experimental/callback.py",
"diff": "@@ -156,3 +156,16 @@ class CallbackTrace(Trace):\nf = callback_subtrace(f, self.main)\nvals_out = call_primitive.bind(f, *vals_in, **params)\nreturn [CallbackTracer(self, val) ... | Python | Apache License 2.0 | google/jax | Add default implementation of process_custom_jvp_call and
process_custom_vjp_call to `jax.experimental.callback` |
260,335 | 16.10.2020 15:07:02 | 25,200 | c8a1a8ded4dd1fc49a3445ad108500bb4346f38b | remove extraneous test tol change | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_scipy_test.py",
"new_path": "tests/lax_scipy_test.py",
"diff": "@@ -136,7 +136,7 @@ class LaxBackedScipyTests(jtu.JaxTestCase):\nreturn_sign=return_sign)\nargs_maker = lambda: [rng(shapes[0], dtype)]\n- self._CheckAgainstNumpy(scipy_fun, lax_fun, arg... | Python | Apache License 2.0 | google/jax | remove extraneous test tol change |
260,335 | 16.10.2020 17:57:59 | 25,200 | 1ab0c3d31e1d0715335bb765ed7f9165771167cb | refine linearize aval checks | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1762,10 +1762,11 @@ def _lift_linearized(jaxpr, primal_avals, consts, io_tree, out_pvals, *py_args):\ntangent_avals = list(map(core.get_aval, tangents))\nfor primal_aval, tangent_aval in zip(primal_avals, tan... | Python | Apache License 2.0 | google/jax | refine linearize aval checks |
260,335 | 16.10.2020 18:21:01 | 25,200 | a493a0f43d29ad04d34ba2b4265e312be23a41a9 | ensure ConcreteArray equality stays in Python | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -1025,9 +1025,12 @@ class ConcreteArray(ShapedArray):\nassert self.dtype != np.dtype('O'), val\ndef __eq__(self, other):\n- return (type(self) is type(other) and self.dtype == other.dtype\n- and self.shape =... | Python | Apache License 2.0 | google/jax | ensure ConcreteArray equality stays in Python |
260,631 | 17.10.2020 10:36:09 | 25,200 | e9909ce008ec9953c1e8805606aedda76e4ef217 | Copybara import of the project:
by Peter Hawkins
Move jax.nn implementation into jax._src.nn. | [
{
"change_type": "DELETE",
"old_path": "jax/_src/nn/__init__.py",
"new_path": null,
"diff": "-# Copyright 2020 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 obtain a copy of the Li... | Python | Apache License 2.0 | google/jax | Copybara import of the project:
--
a396cfbbd414f6f21f0c7e8a68e6e89d202c0e84 by Peter Hawkins <phawkins@google.com>:
Move jax.nn implementation into jax._src.nn.
PiperOrigin-RevId: 337671917 |
260,335 | 20.10.2020 15:35:03 | 25,200 | 4a19de60695037281af970d657f6c94600ce5a40 | added test skips based on jaxlib version
(o/w these were failing at HEAD for me) | [
{
"change_type": "MODIFY",
"old_path": "tests/array_interoperability_test.py",
"new_path": "tests/array_interoperability_test.py",
"diff": "@@ -116,6 +116,8 @@ class DLPackTest(jtu.JaxTestCase):\nfor dtype in dlpack_dtypes))\n@unittest.skipIf(not tf, \"Test requires TensorFlow\")\ndef testJaxToTenso... | Python | Apache License 2.0 | google/jax | added test skips based on jaxlib version
(o/w these were failing at HEAD for me) |
260,335 | 20.10.2020 16:10:56 | 25,200 | ac6cd23b67a04e1efeaf4a0550fe5888b8acd211 | improve an escaped tracer error | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/partial_eval.py",
"new_path": "jax/interpreters/partial_eval.py",
"diff": "@@ -942,7 +942,7 @@ class JaxprStackFrame:\ndef find_progenitors(self, tracer):\nvar = self.tracer_to_var.get(id(tracer))\nif not var:\n- return []\n+ return None, None... | Python | Apache License 2.0 | google/jax | improve an escaped tracer error |
260,335 | 20.10.2020 17:51:51 | 25,200 | 79e3db550897972e0eee071b69aa923785bd5f85 | fixes on (thanks | [
{
"change_type": "MODIFY",
"old_path": "docs/custom_vjp_update.md",
"new_path": "docs/custom_vjp_update.md",
"diff": "@@ -70,7 +70,7 @@ Here's a case where we actually need `nondiff_argnums` with `custom_vjp`:\nfrom functools import partial\nimport jax\n-@partial(jax.custom_vjp, nondiff_argnums)\n+@... | Python | Apache License 2.0 | google/jax | fixes on #4008 (thanks @apaszke) |
260,335 | 20.10.2020 19:10:41 | 25,200 | 2b62a44736d6818195e244760f46569008973280 | only run test with omnistaging on | [
{
"change_type": "MODIFY",
"old_path": "tests/api_test.py",
"new_path": "tests/api_test.py",
"diff": "@@ -2384,6 +2384,9 @@ class RematTest(jtu.JaxTestCase):\ndef test_escaped_tracer_remat(self):\n# b/169779185\n+ if not config.omnistaging_enabled:\n+ raise unittest.SkipTest(\"test only works with o... | Python | Apache License 2.0 | google/jax | only run test with omnistaging on |
260,335 | 20.10.2020 21:08:59 | 25,200 | a46d0028ccc6f4639a733fca542b97e121f754d4 | fix a custom_jvp vmap bug from | [
{
"change_type": "MODIFY",
"old_path": "jax/custom_derivatives.py",
"new_path": "jax/custom_derivatives.py",
"diff": "@@ -332,12 +332,13 @@ def _custom_jvp_call_jaxpr_vmap(\n@pe._memoize\ndef batched_jvp_jaxpr_thunk():\njvp_jaxpr = core.ClosedJaxpr(*jvp_jaxpr_thunk()) # consts can be tracers\n- _, a... | Python | Apache License 2.0 | google/jax | fix a custom_jvp vmap bug from @dpfau |
260,296 | 20.10.2020 22:58:53 | 25,200 | da0bff2fa8e8335d5c90e22413ed4a5e8ccab674 | Add `lax.conv_general_dilated_patches` | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.lax.rst",
"new_path": "docs/jax.lax.rst",
"diff": "@@ -53,6 +53,7 @@ Operators\nconv\nconvert_element_type\nconv_general_dilated\n+ conv_general_dilated_patches\nconv_with_general_padding\nconv_transpose\ncos\n"
},
{
"change_type": "MODIFY",
... | Python | Apache License 2.0 | google/jax | Add `lax.conv_general_dilated_patches` |
260,651 | 17.10.2020 23:48:39 | -10,800 | b7fee456e6334ec2aaf275719b5c463b1d1332a9 | [impl] Add support for setdiff1d | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.numpy.rst",
"new_path": "docs/jax.numpy.rst",
"diff": "@@ -316,6 +316,7 @@ Not every function in NumPy is implemented; contributions are welcome!\nsearchsorted\nselect\nset_printoptions\n+ setdiff1d\nshape\nsign\nsignbit\n"
},
{
"change_type":... | Python | Apache License 2.0 | google/jax | [impl] Add support for setdiff1d |
260,335 | 22.10.2020 15:31:43 | 25,200 | f40ac067178652e1eb9804ce298ad9e1b60a0392 | make lax.dynamic_slice transpose handle symb zeros | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -3756,11 +3756,14 @@ def _dynamic_slice_jvp(primals, tangents, *, slice_sizes):\ndef _dynamic_slice_transpose_rule(t, operand, *start_indices, slice_sizes):\nassert ad.is_undefined_primal(ope... | Python | Apache License 2.0 | google/jax | make lax.dynamic_slice transpose handle symb zeros |
260,335 | 22.10.2020 16:37:08 | 25,200 | ced333d1d4aec2825e9afd81c2ca9721b7e3cc67 | redo lazy simplification | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -1411,6 +1411,11 @@ def iota(dtype: DType, size: int) -> Array:\n<https://www.tensorflow.org/xla/operation_semantics#iota>`_\noperator.\n\"\"\"\n+ if config.omnistaging_enabled:\n+ dtype = dt... | Python | Apache License 2.0 | google/jax | redo #4535 lazy simplification |
260,287 | 26.10.2020 10:11:13 | 0 | 6348a99fb4829df1bda0f9ac84437f836769ab66 | Add support for vmap collectives in control flow primitives
All initial style primitives currently use `batch_jaxpr` in their
batching rules, but that function hasn't been updated to support
axis_name when I added support for vmap collectives. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/control_flow.py",
"new_path": "jax/_src/lax/control_flow.py",
"diff": "@@ -363,7 +363,8 @@ def _pred_bcast_select(c, pred, x, y, x_y_aval: core.AbstractValue):\nbcast_pred = xops.BroadcastInDim(pred, x_shape, list(range(len(pred_shape))))\nreturn ... | Python | Apache License 2.0 | google/jax | Add support for vmap collectives in control flow primitives
All initial style primitives currently use `batch_jaxpr` in their
batching rules, but that function hasn't been updated to support
axis_name when I added support for vmap collectives. |
260,621 | 26.10.2020 23:58:09 | -3,600 | 231168d4806c6d18b2153ce8c1c9add0c563096a | all changes plus test verifcation on TPU squashed | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/scipy/optimize/line_search.py",
"new_path": "jax/_src/scipy/optimize/line_search.py",
"diff": "@@ -112,7 +112,7 @@ def _zoom(restricted_func_and_grad, wolfe_one, wolfe_two, a_lo, phi_lo,\n# This will cause the line search to stop, and since the Wolfe ... | Python | Apache License 2.0 | google/jax | all changes plus test verifcation on TPU squashed |
260,335 | 26.10.2020 15:32:31 | 25,200 | 7a73e99e1462165a76249ead2cda30dd2665978a | simplify select jvp
also remove some coverage of broadcast_p, which jax never generates now | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -3624,11 +3624,20 @@ def _select_masking_rule(padded_vals, logical_shapes):\nassert np.array_equal(pred_shape, false_shape)\nreturn select(*padded_vals)\n+def _select_jvp(primals, tangents):\... | Python | Apache License 2.0 | google/jax | simplify select jvp
also remove some coverage of broadcast_p, which jax never generates now |
260,335 | 27.10.2020 13:26:38 | 25,200 | 1da36943c868d3a996bd53da3dc88908422ece1f | mention static_argnum values should be immutable | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -134,12 +134,13 @@ def jit(fun: Callable[..., T],\narguments to treat as static (compile-time constant). Operations that only\ndepend on static arguments will be constant-folded in Python (during\ntracing), an... | Python | Apache License 2.0 | google/jax | mention static_argnum values should be immutable |
260,335 | 29.10.2020 22:22:15 | 25,200 | bbc85f4aca3184a5cfbd9fd5a7d7fe74a901cd88 | revise pytree docs to remove contradiction | [
{
"change_type": "MODIFY",
"old_path": "docs/pytrees.rst",
"new_path": "docs/pytrees.rst",
"diff": "@@ -4,13 +4,15 @@ Pytrees\nWhat is a pytree?\n^^^^^^^^^^^^^^^^^\n-In JAX, a pytree is **a container of leaf elements and/or more pytrees**.\n-Containers include lists, tuples, and dicts (JAX can be ex... | Python | Apache License 2.0 | google/jax | revise pytree docs to remove contradiction |
260,335 | 29.10.2020 22:26:23 | 25,200 | 95687753dd1f0df1892e27ec5dba9e874a4de0f7 | add another brief para about the registry | [
{
"change_type": "MODIFY",
"old_path": "docs/pytrees.rst",
"new_path": "docs/pytrees.rst",
"diff": "@@ -14,6 +14,12 @@ That is:\n2. any object whose type is in the pytree container registry, and which\ncontains pytrees, is considered a pytree.\n+For each entry in the pytree container registry, a con... | Python | Apache License 2.0 | google/jax | add another brief para about the registry |
260,335 | 12.06.2020 10:35:59 | 25,200 | a4ce2813c876326643c49a8032b1e0fb69641fba | link to nn libraries in readme | [
{
"change_type": "MODIFY",
"old_path": "README.md",
"new_path": "README.md",
"diff": "[**Quickstart**](#quickstart-colab-in-the-cloud)\n| [**Transformations**](#transformations)\n| [**Install guide**](#installation)\n+| [**Neural net libraries**](#neural-network-libraries)\n| [**Change logs**](https... | Python | Apache License 2.0 | google/jax | link to nn libraries in readme
Co-authored-by: Skye Wanderman-Milne <skyewm@google.com>
Co-authored-by: James Bradbury <jekbradbury@google.com> |
260,335 | 30.10.2020 08:42:04 | 25,200 | a7d1963bc84a3321e9d2f47c9e0f8de050553d12 | update neural network libraries text | [
{
"change_type": "MODIFY",
"old_path": "README.md",
"new_path": "README.md",
"diff": "@@ -447,9 +447,21 @@ source](https://jax.readthedocs.io/en/latest/developer.html#building-from-source\n## Neural network libraries\n-There are lots of great deep learning libraries built on top of JAX!\n-\n-If you ... | Python | Apache License 2.0 | google/jax | update neural network libraries text
Co-authored-by: George Necula <necula@google.com> |
260,285 | 02.11.2020 19:07:50 | -3,600 | d29b69a3f89f008fbafcd767cd84d90be1397df9 | Support polynomial division for mask
Add support for multivariate polynomial division on polymorphic sizes without remainder, allowing `mask` of
`jnp.reshape` with -1 size and
`lax.slice` for polymorphic stride for sizes `poly * stride`, i. e. `(n^2+2n)//n = n+2`
Also clean up `Poly` class, improve error messages. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -3681,9 +3681,9 @@ def _slice_shape_rule(operand, *, start_indices, limit_indices, strides):\nmsg = \"slice strides must be positive, got {}\"\nraise TypeError(msg.format(strides))\n- result_... | Python | Apache License 2.0 | google/jax | Support polynomial division for mask
Add support for multivariate polynomial division on polymorphic sizes without remainder, allowing `mask` of
- `jnp.reshape` with -1 size and
- `lax.slice` for polymorphic stride for sizes `poly * stride`, i. e. `(n^2+2n)//n = n+2`
Also clean up `Poly` class, improve error messages. |
260,411 | 03.11.2020 09:31:10 | -7,200 | 4ee7a296c3dafe74578a779950e62086b0b52b63 | [jax2tf] Expanded the SavedModel library to allow the compilation of models.
This is important for use with TensorFlow serving.
Also removed the servo_main.py (only applies to OSS TF Serving, which
does not yet support XLA) | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/examples/README.md",
"new_path": "jax/experimental/jax2tf/examples/README.md",
"diff": "+Getting started with jax2tf\n+===========================\nThis directory contains a number of examples of using the jax2tf converter to:\n* save S... | Python | Apache License 2.0 | google/jax | [jax2tf] Expanded the SavedModel library to allow the compilation of models.
This is important for use with TensorFlow serving.
Also removed the servo_main.py (only applies to OSS TF Serving, which
does not yet support XLA)
Co-authored-by: Benjamin Chetioui <3920784+bchetioui@users.noreply.github.com> |
260,287 | 03.11.2020 12:11:03 | 0 | b85e605ff1a9c5e6fed3d3dea6dd0c94074a66c1 | Add support for collectives in xmap | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -128,6 +128,9 @@ class ClosedJaxpr:\ndef literals(self):\nreturn self.consts # backwards compatible alias\n+ def map_jaxpr(self, f):\n+ return ClosedJaxpr(f(self.jaxpr), self.consts)\n+\ndef __str__(self): r... | Python | Apache License 2.0 | google/jax | Add support for collectives in xmap |
260,411 | 04.11.2020 14:43:23 | -7,200 | ee707de44e85a6e652ec13e3ff1bdcda42656627 | [jax2tf] Small fixes to the documentation | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/README.md",
"new_path": "jax/experimental/jax2tf/README.md",
"diff": "@@ -421,21 +421,21 @@ There are several drawbacks of using TFXLA ops:\nWe use the following such TFXLA:\n- * ``XlaPad`` (wraps XLA Pad operator). We use this instead ... | Python | Apache License 2.0 | google/jax | [jax2tf] Small fixes to the documentation |
260,680 | 05.11.2020 18:13:44 | -7,200 | 3bc34e4f5a106ceef24163a025b3a0733a77806c | Update scatter.py
Looks like the documentation was not up to date | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/ops/scatter.py",
"new_path": "jax/_src/ops/scatter.py",
"diff": "@@ -207,8 +207,8 @@ def index_min(x, idx, y, indices_are_sorted=False, unique_indices=False):\n:data:`jax.ops.index` object.\ny: the array of updates. `y` must be broadcastable to the sh... | Python | Apache License 2.0 | google/jax | Update scatter.py
Looks like the documentation was not up to date |
260,299 | 06.11.2020 11:37:15 | 0 | 931b2ddbcb07959ce9d85731b59d61578cdd587c | Improve docs for custom_jvp and custom_vjp
Correct the custom_jvp docstring to include the defjvps instance method. Add the
defjvp/defvjp instance methods to the sphinx doc. | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.rst",
"new_path": "docs/jax.rst",
"diff": "@@ -18,7 +18,6 @@ Subpackages\njax.ops\njax.random\njax.tree_util\n- jax.flatten_util\njax.dlpack\njax.profiler\n@@ -91,8 +90,15 @@ Parallelization (:code:`pmap`)\n.. autofunction:: jvp\n.. autofunction:: lin... | Python | Apache License 2.0 | google/jax | Improve docs for custom_jvp and custom_vjp
Correct the custom_jvp docstring to include the defjvps instance method. Add the
defjvp/defvjp instance methods to the sphinx doc. |
260,299 | 06.11.2020 13:43:18 | 0 | 62683959b15eaaedc8b641a7d88b45d8dc348e4b | [DOCS] Add JAX favicon to sphinx | [
{
"change_type": "ADD",
"old_path": "docs/_static/favicon.png",
"new_path": "docs/_static/favicon.png",
"diff": "Binary files /dev/null and b/docs/_static/favicon.png differ\n"
},
{
"change_type": "MODIFY",
"old_path": "docs/conf.py",
"new_path": "docs/conf.py",
"diff": "@@ -210,... | Python | Apache License 2.0 | google/jax | [DOCS] Add JAX favicon to sphinx |
260,287 | 08.11.2020 18:45:24 | -3,600 | 5c6a588528c5d5aad47878917602dca7587b335b | Pass around the flattened args and outputs in invertible_ad
The previous version worked fine when the argument list was already
flat, but would fail when it was a more complicated pytree. This should
fix it. | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/invertible_ad.py",
"new_path": "jax/interpreters/invertible_ad.py",
"diff": "@@ -66,14 +66,14 @@ def invertible(fun):\n\"gradients computed correctly (their uses inside this function will be ignored)!\")\n# TODO: This requires the body to be j... | Python | Apache License 2.0 | google/jax | Pass around the flattened args and outputs in invertible_ad
The previous version worked fine when the argument list was already
flat, but would fail when it was a more complicated pytree. This should
fix it. |
260,299 | 08.11.2020 22:22:36 | 0 | a0a2c973e6a8a1c60de336f1b6b17134f73658e4 | Fixes to jax.api docs | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.rst",
"new_path": "docs/jax.rst",
"diff": "@@ -90,6 +90,7 @@ Parallelization (:code:`pmap`)\n.. autofunction:: hessian\n.. autofunction:: jvp\n.. autofunction:: linearize\n+.. autofunction:: linear_transpose\n.. autofunction:: vjp\n.. autofunction:: c... | Python | Apache License 2.0 | google/jax | Fixes to jax.api docs |
260,335 | 08.11.2020 14:48:14 | 28,800 | 0b76854be07973ed14b6192016265f0f23499abe | fix skip logic for test that requires portpicker | [
{
"change_type": "MODIFY",
"old_path": "tests/profiler_test.py",
"new_path": "tests/profiler_test.py",
"diff": "@@ -87,7 +87,7 @@ class ProfilerTest(unittest.TestCase):\nself.assertEqual(1, len(glob.glob(path)),\n'Expected one path match: ' + path)\n- @unittest.skipIf(not (portpicker or profiler_cli... | Python | Apache License 2.0 | google/jax | fix skip logic for test that requires portpicker |
260,519 | 07.11.2020 18:32:28 | -19,080 | a3c729b97a445911d41a4a2b4375e7888c380a73 | Fix + additional fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/scipy/signal.py",
"new_path": "jax/_src/scipy/signal.py",
"diff": "@@ -68,8 +68,6 @@ def convolve(in1, in2, mode='full', method='auto',\nwarnings.warn(\"convolve() ignores method argument\")\nif jnp.issubdtype(in1.dtype, jnp.complexfloating) or jnp.is... | Python | Apache License 2.0 | google/jax | Fix #4775 + additional fixes |
260,411 | 06.11.2020 16:50:50 | -7,200 | f5294e6f5768984043d011f00ce4e6a505f1b90c | [jax2tf] Add the convert_and_save_model to the jax2tf API.
Expanded the documentation, including with a discussion
for various options for creating SavedModel from Flax
or Haiku models. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/README.md",
"new_path": "jax/experimental/jax2tf/README.md",
"diff": "@@ -16,7 +16,7 @@ Flax models and their use with TensorFlow Hub and Keras, are described in the\nSee also some internal ongoing design discussions at `go/jax2tf-doc`.... | Python | Apache License 2.0 | google/jax | [jax2tf] Add the convert_and_save_model to the jax2tf API.
Expanded the documentation, including with a discussion
for various options for creating SavedModel from Flax
or Haiku models. |
260,287 | 05.11.2020 11:54:05 | 0 | f637263059b97baed5f38070e85c4aa917553324 | Add some type annotations in parallel_callable | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -511,8 +511,16 @@ def xla_pmap_impl(fun: lu.WrappedFun, *args, backend, axis_name, axis_size,\nreturn compiled_fun(*args)\n@lu.cache\n-def parallel_callable(fun, backend, axis_name,... | Python | Apache License 2.0 | google/jax | Add some type annotations in parallel_callable |
260,299 | 10.11.2020 11:10:06 | 0 | b8920a11c36b2b263c7c80bee8b48d4688b327d0 | Rm old attribute annotations from TraceStack | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -618,9 +618,6 @@ class MainTrace:\nclass TraceStack:\n# See comments in https://github.com/google/jax/pull/3370\n- upward: List[MainTrace]\n- downward: List[MainTrace]\n-\ndef __init__(self):\neval_trace = M... | Python | Apache License 2.0 | google/jax | Rm old attribute annotations from TraceStack |
260,349 | 10.11.2020 15:14:58 | -3,600 | 06ab965ad17ea42b290649a896d98ee07fc6bcec | Add description how to view pytree definition | [
{
"change_type": "MODIFY",
"old_path": "docs/pytrees.rst",
"new_path": "docs/pytrees.rst",
"diff": "@@ -78,6 +78,12 @@ This happens to be the default ``in_axes`` value for ``vmap``!\nThe same logic applies to other optional parameters that refer to specific input\nor output values of a transformed f... | Python | Apache License 2.0 | google/jax | Add description how to view pytree definition |
260,335 | 13.11.2020 07:23:02 | 28,800 | 8b006f6a906c2c6c1abc95aafaf445649e963268 | add correct annotations to core.TraceStack | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -618,6 +618,9 @@ class MainTrace:\nclass TraceStack:\n# See comments in https://github.com/google/jax/pull/3370\n+ stack: List[MainTrace]\n+ dynamic: MainTrace\n+\ndef __init__(self):\neval_trace = MainTrace... | Python | Apache License 2.0 | google/jax | add correct annotations to core.TraceStack |
260,424 | 13.11.2020 17:07:15 | -3,600 | 91777c331c797b22743ee95e6bc4c46a32aa5e0c | Fix select_and_gather_add_transpose rule.
Fixes a 'jax.ad_util.Zero' is not a valid JAX type error. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -5387,6 +5387,8 @@ def _select_and_gather_add_transpose(\nmsg = (\"VJP not implemented for select_and_gather (MaxPool) with window \"\n\"dilation, got window_dilation={}.\")\nraise NotImpleme... | Python | Apache License 2.0 | google/jax | Fix select_and_gather_add_transpose rule.
Fixes a 'jax.ad_util.Zero' is not a valid JAX type error. |
260,335 | 13.11.2020 14:22:17 | 28,800 | df081393ebded602c9007361f5d988945ea2e95d | update concatenate shape rule for sound mask test | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -3224,11 +3224,12 @@ def _concatenate_shape_rule(*operands, **kwargs):\nif len({operand.ndim for operand in operands}) != 1:\nmsg = \"Cannot concatenate arrays with different ranks, got {}.\"... | Python | Apache License 2.0 | google/jax | update concatenate shape rule for sound mask test |
260,335 | 13.11.2020 14:55:04 | 28,800 | 799325bbba352842a56ca225f02b6eb970f45712 | revise lax broadcasting to work with sound masking | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -63,13 +63,21 @@ DType = Any\nShape = Sequence[int]\ndef _try_broadcast_shapes(shapes):\n- for sizes in zip(*shapes):\n+ assert shapes\n+ if len(shapes) == 1: return shapes[0]\n+ rank, *other... | Python | Apache License 2.0 | google/jax | revise lax broadcasting to work with sound masking |
260,335 | 13.11.2020 15:02:55 | 28,800 | 8bd74a245a878dbd1aff4d5de491fcdd3f889dd3 | adapt broadcast_in_dim shape rule mask soundness | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -3158,8 +3158,8 @@ def _broadcast_in_dim_shape_rule(operand, *, shape, broadcast_dimensions):\nmsg = ('broadcast_in_dim broadcast_dimensions must be a subset of output '\n'dimensions, got {} ... | Python | Apache License 2.0 | google/jax | adapt broadcast_in_dim shape rule mask soundness |
260,335 | 13.11.2020 15:21:59 | 28,800 | 9a0207ab30d3b08476edd032f945984e2a3b8381 | adapt masking rev tests for soundness | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -746,11 +746,6 @@ def slice(operand: Array, start_indices: Sequence[int],\n<https://www.tensorflow.org/xla/operation_semantics#slice>`_\noperator.\n\"\"\"\n- if (np.all(np.equal(start_indices... | Python | Apache License 2.0 | google/jax | adapt masking rev tests for soundness |
260,335 | 16.11.2020 19:01:00 | 28,800 | c2a98c18206c0308c85869101a6a3fc2151a9028 | update jax repository citation
Add all full-time JAX team members. | [
{
"change_type": "MODIFY",
"old_path": "README.md",
"new_path": "README.md",
"diff": "@@ -469,7 +469,7 @@ To cite this repository:\n```\n@software{jax2018github,\n- author = {James Bradbury and Roy Frostig and Peter Hawkins and Matthew James Johnson and Chris Leary and Dougal Maclaurin and Skye Wand... | Python | Apache License 2.0 | google/jax | update jax repository citation
Add all full-time JAX team members. |
260,411 | 17.11.2020 06:08:09 | 28,800 | 3bf3e352bc45cd6d61bc322501502595b42b3da5 | Disable the remaining failing tests, remove jax2tf documentation | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/examples/README.md",
"new_path": "jax/experimental/jax2tf/examples/README.md",
"diff": "@@ -136,12 +136,7 @@ The default saving location is `/tmp/jax2tf/saved_models/1`.\nBy default, this example will convert the inference function for ... | Python | Apache License 2.0 | google/jax | Disable the remaining failing tests, remove jax2tf documentation |
260,411 | 17.11.2020 06:57:47 | 28,800 | 64022922bd18eacfcd9befd2e1810a80512f85ef | Fix float indices in lax.slice | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -1650,6 +1650,7 @@ def _split(op, ary, indices_or_sections, axis=0):\n+ ((r + 1) * (part_size + 1) - 1)])\nelse:\nraise ValueError(\"array split does not result in an equal di... | Python | Apache License 2.0 | google/jax | Fix float indices in lax.slice |
260,510 | 10.11.2020 15:57:19 | 28,800 | 590e629f10c0c5c1fe88930a19289c766d0517af | Add support for XLA variadic reduce | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -28,9 +28,11 @@ import jax\nfrom jax import core\nfrom jax import ad_util\nfrom jax import api\n+from jax import api_util\nfrom jax import linear_util as lu\nfrom jax import dtypes\nfrom jax ... | Python | Apache License 2.0 | google/jax | Add support for XLA variadic reduce |
260,684 | 18.11.2020 16:18:43 | 28,800 | f54e531cc40c4314156bfa02cb10f2635dbc9010 | Add vector-valued gradient example. | [
{
"change_type": "MODIFY",
"old_path": "docs/notebooks/quickstart.ipynb",
"new_path": "docs/notebooks/quickstart.ipynb",
"diff": "\"from jax import grad, jit, vmap\\n\",\n\"from jax import random\"\n],\n- \"execution_count\": 0,\n+ \"execution_count\": 5,\n\"outputs\": []\n},\n{\n\"execution_count\"... | Python | Apache License 2.0 | google/jax | Add vector-valued gradient example. |
260,287 | 19.11.2020 11:36:35 | 0 | b55b44d39414b3650aff31ce2f61e35da6bfb9bd | Remove devices from xla.AxisEnv
In most cases they were not even filled in, and they are not used
anywhere. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -4809,7 +4809,7 @@ def _reduction_computation(c, jaxpr, consts, init_values, singleton=True):\nif singleton:\ninit_values = [init_values]\nshapes = safe_map(c.get_shape, init_values + init_va... | Python | Apache License 2.0 | google/jax | Remove devices from xla.AxisEnv
In most cases they were not even filled in, and they are not used
anywhere. |
260,287 | 20.11.2020 13:51:17 | 0 | 94fcd7f2ab3af8eeb881bb2b3d446a9fbc1a8ae1 | Use taggedtuple instead of namedtuple when defining ShardingSpecs
Because namedtuples don't take the class into account when comparing for
equality! | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -34,7 +34,7 @@ import itertools as it\nimport operator as op\nimport threading\nfrom typing import (Any, Callable, Dict, List, Optional, Sequence, Set, Tuple,\n- Type, Union, Iterab... | Python | Apache License 2.0 | google/jax | Use taggedtuple instead of namedtuple when defining ShardingSpecs
Because namedtuples don't take the class into account when comparing for
equality! |
260,677 | 24.11.2020 16:57:35 | 0 | 8d1daba901468093ce41850501c4805ba7a17f5f | Add complex types to gradient of slogdet | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/linalg.py",
"new_path": "jax/_src/numpy/linalg.py",
"diff": "@@ -139,10 +139,13 @@ def slogdet(a):\ndef _slogdet_jvp(primals, tangents):\nx, = primals\ng, = tangents\n- if jnp.issubdtype(jnp._dtype(x), jnp.complexfloating):\n- raise NotImplement... | Python | Apache License 2.0 | google/jax | Add complex types to gradient of slogdet |
260,287 | 19.11.2020 18:22:35 | 0 | c5433b0e4ec806fbad11a728d6b12502240ec3f1 | Make xmap into a primitive
Add a compilation cache. Also make sure that it raises a clear error
when you try to use it with other transforms.
Also, add a bunch of checks to make sure that the arguments are valid. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/general_map.py",
"new_path": "jax/experimental/general_map.py",
"diff": "@@ -16,6 +16,7 @@ import enum\nimport threading\nimport contextlib\nimport numpy as np\n+import itertools as it\nfrom collections import namedtuple, OrderedDict\nfrom typ... | Python | Apache License 2.0 | google/jax | Make xmap into a primitive
Add a compilation cache. Also make sure that it raises a clear error
when you try to use it with other transforms.
Also, add a bunch of checks to make sure that the arguments are valid. |
260,287 | 20.11.2020 11:43:11 | 0 | 5ee2de167503b2e22e3531ed3d5d76e2f32071e0 | Forbid pmap/soft_pmap/sharded_jit inside xmap | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -312,6 +312,13 @@ def extract_call_jaxpr(\nreturn (params[\"call_jaxpr\"], new_params)\n+def traverse_jaxpr_params(f, params):\n+ \"\"\"Applies f to each jaxpr parameter and returns a tuple of returned value... | Python | Apache License 2.0 | google/jax | Forbid pmap/soft_pmap/sharded_jit inside xmap |
260,335 | 24.11.2020 10:45:03 | 28,800 | 50cb604f2e9797c36a14d93a08068581427e201d | fix doc test failure | [
{
"change_type": "MODIFY",
"old_path": "docs/jaxpr.rst",
"new_path": "docs/jaxpr.rst",
"diff": "@@ -448,7 +448,7 @@ captured using the ``xla_pmap`` primitive. Consider this example\nshape=(1,) ] 1.0\ne = add c d\nf = psum[ axis_index_groups=None\n- axis_name=rows ] b\n+ axis_name=('rows',) ] b\ng = ... | Python | Apache License 2.0 | google/jax | fix doc test failure |
260,335 | 24.11.2020 15:07:22 | 28,800 | 809731859bf0a5ed6d10562bd3e91b7615ce7b0e | cleanup: unify pmin/pmax implementations with psum | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -139,8 +139,10 @@ def pmax(x, axis_name, *, axis_index_groups=None):\nif not isinstance(axis_name, (tuple, list)):\naxis_name = (axis_name,)\n_validate_axis_index_groups(axis_index_... | Python | Apache License 2.0 | google/jax | cleanup: unify pmin/pmax implementations with psum |
260,335 | 25.11.2020 10:16:40 | 28,800 | 3053f4bc1ee51ece49f091ec26fb02a95fb6bd79 | add link to XLA bug about complex dtype allreduce | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -401,7 +401,8 @@ def _allreduce_translation_rule(prim, c, *args, axis_name, axis_index_groups,\nis_complex = dtypes.issubdtype(dtype, np.complexfloating)\nn = len(dtype_args)\nif is... | Python | Apache License 2.0 | google/jax | add link to XLA bug about complex dtype allreduce |
260,335 | 25.11.2020 10:25:22 | 28,800 | 7266fcbdc5846001ea692b9cabc5f1a6cf97ec40 | when resetting stores in nan debugging, check None | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -582,7 +582,7 @@ def _xla_call_impl(fun: lu.WrappedFun, *args, device, backend, name, donated_inv\n# by any transformation_with_aux's applied to fun. Since this is\n# intentional here... | Python | Apache License 2.0 | google/jax | when resetting stores in nan debugging, check None |
260,335 | 25.11.2020 14:17:27 | 28,800 | 8d884e24802347b3f45ad6c144d7a7c0114cf1e1 | silence weird type error | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -450,7 +450,7 @@ psum_p.multiple_results = True\npsum_p.def_abstract_eval(lambda *args, **params: map(raise_to_shaped, args))\npxla.soft_pmap_rules[psum_p] = \\\npartial(_allreduce_... | Python | Apache License 2.0 | google/jax | silence weird type error |
260,287 | 27.11.2020 16:32:03 | 0 | ed86ae4950259a8955d68856d601f08f20ea17db | Add proper support for out_axes in xmap | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/general_map.py",
"new_path": "jax/experimental/general_map.py",
"diff": "@@ -36,7 +36,7 @@ from ..interpreters import pxla\nfrom ..interpreters import xla\nfrom ..lib import xla_bridge as xb\nfrom ..lib import xla_client as xc\n-from ..util im... | Python | Apache License 2.0 | google/jax | Add proper support for out_axes in xmap |
260,335 | 25.11.2020 15:23:00 | 28,800 | 58e441bed78a0661f081e93ccfe9cf4370c5f5d5 | add experimental pdot primitive, basic tests | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -3032,14 +3032,23 @@ def _dot_general_transpose_rhs(g, x, *, dimension_numbers, precision):\ndef _dot_general_batch_rule(batched_args, batch_dims, *, dimension_numbers,\nprecision):\n+ lhs, r... | Python | Apache License 2.0 | google/jax | add experimental pdot primitive, basic tests |
260,335 | 27.11.2020 11:28:49 | 28,800 | 29648fa50b364c7814c967812e13de4545f850bd | remove DynamicJaxprTrace.process_xmap | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/general_map.py",
"new_path": "jax/experimental/general_map.py",
"diff": "@@ -801,27 +801,3 @@ def subst_eqn_axis_names(eqn, axis_subst: Dict[AxisName, Tuple[AxisName]]):\naxis_names = (axis_names,)\nnew_axis_names = sum((axis_subst.get(name, (... | Python | Apache License 2.0 | google/jax | remove DynamicJaxprTrace.process_xmap |
260,424 | 30.11.2020 14:23:52 | -3,600 | d7743140a350bec479eeeea89d18dc403cb43e4a | Add named_call autofunction description to docs | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.rst",
"new_path": "docs/jax.rst",
"diff": "@@ -82,6 +82,7 @@ Parallelization (:code:`pmap`)\n.. autofunction:: make_jaxpr\n.. autofunction:: eval_shape\n.. autofunction:: device_put\n+.. autofunction:: named_call\n.. autofunction:: grad\n.. autofuncti... | Python | Apache License 2.0 | google/jax | Add named_call autofunction description to docs |
260,287 | 26.11.2020 17:11:01 | 0 | 34965839abbffcd747faf7fb9873c2e054099503 | Add an experimental xmap lowering via the SPMD partitioner
As suggested by The SPMD partitioner might allow us to
avoid writing partitioning formulas on the JAX level and can result in
better performance by giving the compiler more flexibility. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/general_map.py",
"new_path": "jax/experimental/general_map.py",
"diff": "@@ -31,12 +31,11 @@ from ..api import _mapped_axis_size, _check_callable, _check_arg\nfrom ..tree_util import tree_flatten, tree_unflatten, tree_leaves\nfrom ..api_util i... | Python | Apache License 2.0 | google/jax | Add an experimental xmap lowering via the SPMD partitioner
As suggested by @jekbradbury. The SPMD partitioner might allow us to
avoid writing partitioning formulas on the JAX level and can result in
better performance by giving the compiler more flexibility. |
260,335 | 30.11.2020 08:55:55 | 28,800 | ac0f07139eda6679cf2c829736a933dce7f780eb | add pdot_p to unsupported jax2tf primitives | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -837,7 +837,7 @@ tf_not_yet_impl = [\nlax.after_all_p, lax_parallel.all_to_all_p, lax.create_token_p,\nlax.infeed_p, lax.outfeed_p, lax_parallel.pmax_p,\nlax_paral... | Python | Apache License 2.0 | google/jax | add pdot_p to unsupported jax2tf primitives |
260,519 | 13.11.2020 13:17:16 | -19,080 | 2c822203dfc89f81f7632572e7385d58f3939104 | More stable implementation of np.hypot | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -986,7 +986,10 @@ def heaviside(x1, x2):\ndef hypot(x1, x2):\n_check_arraylike(\"hypot\", x1, x2)\nx1, x2 = _promote_dtypes_inexact(x1, x2)\n- return lax.sqrt(x1*x1 + x2*x2)\n... | Python | Apache License 2.0 | google/jax | More stable implementation of np.hypot |
260,335 | 02.12.2020 00:36:39 | 28,800 | 8cd855507179e21bfdc0e518025bf8957fc8e342 | improve sinc jvp at zero, fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -1005,10 +1005,24 @@ def sinc(x):\n_check_arraylike(\"sinc\", x)\nx, = _promote_dtypes_inexact(x)\neq_zero = lax.eq(x, lax._const(x, 0))\n- safe_x = where(eq_zero, lax._const(... | Python | Apache License 2.0 | google/jax | improve sinc jvp at zero, fixes #5054 |
260,287 | 27.11.2020 16:44:08 | 0 | d3136b44c85705eec6ed4d13e8c1bfd283ac4009 | Remove fake xmap resources, remove gmap
xmap can now handle real devices, so there's no point in maintaining the
simulated codepaths. Also, remove single-dimensional gmap as it will
have to be superseeded by a more xmap-friendly alternative. | [
{
"change_type": "MODIFY",
"old_path": "jax/BUILD",
"new_path": "jax/BUILD",
"diff": "@@ -86,8 +86,8 @@ pytype_library(\n)\npytype_library(\n- name = \"general_map\",\n- srcs = [\"experimental/general_map.py\"],\n+ name = \"maps\",\n+ srcs = [\"experimental/maps.py\"],\nsrcs_version = \"PY3\",\ndeps... | Python | Apache License 2.0 | google/jax | Remove fake xmap resources, remove gmap
xmap can now handle real devices, so there's no point in maintaining the
simulated codepaths. Also, remove single-dimensional gmap as it will
have to be superseeded by a more xmap-friendly alternative. |
260,287 | 02.12.2020 14:13:05 | 0 | ca8028950ecfd3118f7801e7e85a111fba4e4fc0 | Fix pmap compilation cache regressions from
AD didn't use `HashableFunction` enough, tripping up the compilation
cache. I've also used the occasion to make function hashing a little
safer by including the Python bytecode of the wrapped function as part
of the key. | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1516,11 +1516,11 @@ def pmap(fun: Callable[..., T],\n# out_axes == 0 path working as we look for a better solution.\nout_axes_thunk = HashableFunction(\nlambda: (0,) * out_tree().num_leaves,\n- key=out_axes)\... | Python | Apache License 2.0 | google/jax | Fix pmap compilation cache regressions from #4904.
AD didn't use `HashableFunction` enough, tripping up the compilation
cache. I've also used the occasion to make function hashing a little
safer by including the Python bytecode of the wrapped function as part
of the key. |
260,335 | 02.12.2020 08:55:14 | 28,800 | e6c01aeacd70064bd3e6a160892ee51a713c1cda | fix broadcasting bug in sinc jvp rule | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -1015,9 +1015,9 @@ def _sinc_maclaurin(k, x):\n# compute the kth derivative of x -> sin(x)/x evaluated at zero (since we\n# compute the monomial term in the jvp rule)\nif k % ... | Python | Apache License 2.0 | google/jax | fix broadcasting bug in sinc jvp rule |
260,449 | 04.12.2020 11:23:32 | -19,080 | 42780cf2776630bc3c03f4a63143419fd5a27364 | added prepend and append to diff | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/numpy/lax_numpy.py",
"new_path": "jax/_src/numpy/lax_numpy.py",
"diff": "@@ -1115,7 +1115,7 @@ def angle(z):\n@_wraps(np.diff)\n-def diff(a, n=1, axis=-1):\n+def diff(a, n=1, axis=-1, prepend=None, append=None):\n_check_arraylike(\"diff\", a)\nif n ==... | Python | Apache License 2.0 | google/jax | added prepend and append to diff |
260,335 | 04.12.2020 12:53:36 | 28,800 | dc610e45167b928e372d1cd56ee76c9144f57856 | add jax.device_put_replicated
Also move tests for device_put_sharded into pmap_test.py, since that
file tests with multiple devices even in our OSS CI.
Add both device_put_replicated and device_put_sharded to
jax/__init__.py. | [
{
"change_type": "MODIFY",
"old_path": "jax/__init__.py",
"new_path": "jax/__init__.py",
"diff": "@@ -36,6 +36,8 @@ from .api import (\ndevice_count,\ndevice_get,\ndevice_put,\n+ device_put_sharded,\n+ device_put_replicated,\ndevices,\ndisable_jit,\neval_shape,\n"
},
{
"change_type": "MODIFY... | Python | Apache License 2.0 | google/jax | add jax.device_put_replicated
Also move tests for device_put_sharded into pmap_test.py, since that
file tests with multiple devices even in our OSS CI.
Add both device_put_replicated and device_put_sharded to
jax/__init__.py. |
260,335 | 04.12.2020 13:34:07 | 28,800 | 5f4f08feef36bcd390c4e86b01edb6e3f491a9a2 | update jax2tf convert_element_type, remove test | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jax2tf/jax2tf.py",
"new_path": "jax/experimental/jax2tf/jax2tf.py",
"diff": "@@ -1094,8 +1094,7 @@ tf_impl[lax.lt_p] = tf.math.less\ntf_impl[lax_linalg.cholesky_p] = tf.linalg.cholesky\n-def _convert_element_type(operand, new_dtype, old_dtype)... | Python | Apache License 2.0 | google/jax | update jax2tf convert_element_type, remove test |
260,335 | 04.12.2020 16:42:49 | 28,800 | 6992ae182c5c8bf78494fb692f40651613acbc73 | switch assertions per reviewer comment | [
{
"change_type": "MODIFY",
"old_path": "tests/pmap_test.py",
"new_path": "tests/pmap_test.py",
"diff": "@@ -2051,7 +2051,7 @@ class ShardedDeviceArrayTest(jtu.JaxTestCase):\nself.assertIsInstance(y, pxla.ShardedDeviceArray)\nself.assertEqual(len(y.device_buffers), len(devices))\nself.assertTrue(all(... | Python | Apache License 2.0 | google/jax | switch assertions per reviewer comment |
260,335 | 04.12.2020 21:25:51 | 28,800 | 8b64c3c679566990e46be5e8155f9a7dc2e9fe77 | fix inherited repr method for ShardedDeviceArray
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -1167,8 +1167,7 @@ for device_array in [_DeviceArray, _CppDeviceArray]:\ndef __repr__(self):\nline_width = np.get_printoptions()[\"linewidth\"]\n- # TODO(jblespia): Should we put back... | Python | Apache License 2.0 | google/jax | fix inherited repr method for ShardedDeviceArray
fixes #5102 |
260,411 | 06.12.2020 15:39:30 | -7,200 | f51db5cd756bf90720c72432b65f596ec106b6d1 | Update lax_test.py | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_test.py",
"new_path": "tests/lax_test.py",
"diff": "@@ -2127,7 +2127,7 @@ class LaxTest(jtu.JaxTestCase):\ndef test_window_strides_dimension_shape_rule(self):\n# https://github.com/google/jax/issues/5087\nmsg = (\"conv_general_dilated window and wind... | Python | Apache License 2.0 | google/jax | Update lax_test.py |
260,411 | 06.12.2020 15:41:02 | -7,200 | 2cd21885e2eb2065ae62798c6259d5e2e963eefc | Update docs/profiling.md | [
{
"change_type": "MODIFY",
"old_path": "docs/profiling.md",
"new_path": "docs/profiling.md",
"diff": "@@ -12,6 +12,7 @@ GPU and TPU. The end result looks something like this:\n### Installation\n+Install specific nightly versions of TensorBoard, TensorBoard profiler, TensorFlow, as well as the What-I... | Python | Apache License 2.0 | google/jax | Update docs/profiling.md
Co-authored-by: 8bitmp3 <19637339+8bitmp3@users.noreply.github.com> |
260,308 | 01.12.2020 02:06:15 | 0 | 85fbc6d790dd44af4e3182620ee10cf2813da9dd | Add axis_index_groups argument to all_to_all. | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/parallel.py",
"new_path": "jax/_src/lax/parallel.py",
"diff": "@@ -233,14 +233,16 @@ def pshuffle(x, axis_name, perm):\nreturn ppermute(x, axis_name, list(zip(perm, range(len(perm)))))\n-def pswapaxes(x, axis_name, axis):\n+def pswapaxes(x, axis_n... | Python | Apache License 2.0 | google/jax | Add axis_index_groups argument to all_to_all. |
260,684 | 07.12.2020 10:06:08 | 28,800 | df411ff49b09bcafedc04bd6236e119dc86183e4 | Update autodiff_cookbook.ipynb | [
{
"change_type": "MODIFY",
"old_path": "docs/notebooks/autodiff_cookbook.ipynb",
"new_path": "docs/notebooks/autodiff_cookbook.ipynb",
"diff": "\"name\": \"python\",\n\"nbconvert_exporter\": \"python\",\n\"pygments_lexer\": \"ipython3\",\n- \"version\": \"3.7.4-final\"\n+ \"version\": \"3.7.3\"\n},\... | Python | Apache License 2.0 | google/jax | Update autodiff_cookbook.ipynb |
260,287 | 09.12.2020 12:38:39 | 0 | f3bfdf8968b7f591b00bd8fde8f03bb2d371d082 | Expose `is_leaf` predicate for `pytree.flatten`
and add tests for it. The change has already been landed in the TF code,
where the C++ pytree components live. This is why I needed to bump the
commit. | [
{
"change_type": "MODIFY",
"old_path": "WORKSPACE",
"new_path": "WORKSPACE",
"diff": "@@ -37,10 +37,10 @@ http_archive(\n# and update the sha256 with the result.\nhttp_archive(\nname = \"org_tensorflow\",\n- sha256 = \"8bee4fec72ed5eebd1ab022514741ae9033f8b7da99d25a0958f6f7b9fa560cf\",\n- strip_pref... | Python | Apache License 2.0 | google/jax | Expose `is_leaf` predicate for `pytree.flatten`
and add tests for it. The change has already been landed in the TF code,
where the C++ pytree components live. This is why I needed to bump the
commit. |
260,287 | 30.11.2020 14:32:28 | 0 | 8fcacd645cf7c25888323eef8c8c883e02019dee | Support mapping a single logical axis to multiple mesh axes in xmap | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/maps.py",
"new_path": "jax/experimental/maps.py",
"diff": "@@ -224,6 +224,11 @@ def xmap(fun: Callable,\nf\"in_axes, but the following are missing: \"\nf\"{out_axes_names - in_axes_names}\")\n+ for axis, resources in frozen_axis_resources.item... | Python | Apache License 2.0 | google/jax | Support mapping a single logical axis to multiple mesh axes in xmap |
260,634 | 13.12.2020 17:03:07 | -3,600 | 269676ee4e6753b63da4846ef63100e9140a0af4 | Typo ?
I removed "-e" option from "pip install -e dist/*.whl # installs jaxlib (includes XLA)" line 58. It is now coherent with lines 69-70.
When I tried the command with the "-e" it threw an error, without "-e" it worked fine. | [
{
"change_type": "MODIFY",
"old_path": "docs/developer.rst",
"new_path": "docs/developer.rst",
"diff": "@@ -55,7 +55,7 @@ You can install the necessary Python dependencies using ``pip``::\nTo build ``jaxlib`` with CUDA support, you can run::\npython build/build.py --enable_cuda\n- pip install -e dis... | Python | Apache License 2.0 | google/jax | Typo ?
I removed "-e" option from "pip install -e dist/*.whl # installs jaxlib (includes XLA)" line 58. It is now coherent with lines 69-70.
When I tried the command with the "-e" it threw an error, without "-e" it worked fine. |
260,335 | 14.12.2020 17:09:25 | 28,800 | 7342318774c6f1195f0e238f1209425109ea8944 | check for __jax_array__ method for conversion | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -437,6 +437,9 @@ def convert_element_type(operand: Array, new_dtype: DType = None,\nmsg = \"Casting complex values to real discards the imaginary part\"\nwarnings.warn(msg, np.ComplexWarning,... | Python | Apache License 2.0 | google/jax | check for __jax_array__ method for conversion |
260,335 | 15.12.2020 20:46:09 | 28,800 | 5eb36855e53d8d4e81e281d08dc9264d2671f21f | ensure some jnp funs duck-type with __jax_array__ | [
{
"change_type": "MODIFY",
"old_path": "jax/dtypes.py",
"new_path": "jax/dtypes.py",
"diff": "@@ -280,6 +280,9 @@ def is_python_scalar(x):\ntry:\nreturn x.aval.weak_type and np.ndim(x) == 0\nexcept AttributeError:\n+ if hasattr(x, '__jax_array__'):\n+ return is_python_scalar(x.__jax_array__())\n+ el... | Python | Apache License 2.0 | google/jax | ensure some jnp funs duck-type with __jax_array__ |
260,631 | 15.12.2020 23:13:03 | 28,800 | 7c294e62f4a5134e9e747760caf5cafb62fdbb92 | Copybara import of the project:
by Matthew Johnson
check for __jax_array__ method for conversion
by Matthew Johnson
fix typo
by Matthew Johnson
ensure some jnp funs duck-type with __jax_array__ | [
{
"change_type": "MODIFY",
"old_path": "jax/_src/lax/lax.py",
"new_path": "jax/_src/lax/lax.py",
"diff": "@@ -437,9 +437,6 @@ def convert_element_type(operand: Array, new_dtype: DType = None,\nmsg = \"Casting complex values to real discards the imaginary part\"\nwarnings.warn(msg, np.ComplexWarning,... | Python | Apache License 2.0 | google/jax | Copybara import of the project:
--
7342318774c6f1195f0e238f1209425109ea8944 by Matthew Johnson <mattjj@google.com>:
check for __jax_array__ method for conversion
--
6742016382b0511f5ac9ec21f67d2122a9f37cb7 by Matthew Johnson <mattjj@google.com>:
fix typo
--
5eb36855e53d8d4e81e281d08dc9264d2671f21f by Matthew Johnson <mattjj@google.com>:
ensure some jnp funs duck-type with __jax_array__
PiperOrigin-RevId: 347763582 |
260,411 | 16.12.2020 09:29:50 | -7,200 | 24d850815fa3ae828b16dc15e1c10f521bd37f30 | [host_callback] Remove deprecated outfeed_receiver context manager | [
{
"change_type": "MODIFY",
"old_path": "docs/CHANGELOG.rst",
"new_path": "docs/CHANGELOG.rst",
"diff": "@@ -21,6 +21,8 @@ jax 0.2.8 (Unreleased)\noptional parameter for ``id_tap`` and ``id_print`` to request that the\ndevice from which the value is tapped be passed as a keyword argument\nto the tap ... | Python | Apache License 2.0 | google/jax | [host_callback] Remove deprecated outfeed_receiver context manager |
260,335 | 17.12.2020 12:10:04 | 28,800 | d7b5e3b5d493fbc21ea399c2ec9fc5acc0607aed | add add_any to jet rules table
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/jet.py",
"new_path": "jax/experimental/jet.py",
"diff": "@@ -229,6 +229,7 @@ deflinear(lax.complex_p)\ndeflinear(lax.conj_p)\ndeflinear(lax.imag_p)\ndeflinear(lax.add_p)\n+deflinear(ad_util.add_jaxvals_p)\ndeflinear(lax.sub_p)\ndeflinear(lax.c... | Python | Apache License 2.0 | google/jax | add add_any to jet rules table
fixes #5217 |
260,613 | 18.12.2020 16:26:31 | 0 | c89f3810762458ccb56160a25dd7db653766aec9 | add flag for inf checking | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -62,6 +62,9 @@ FLAGS = flags.FLAGS\nflags.DEFINE_bool('jax_debug_nans',\nbool_env('JAX_DEBUG_NANS', False),\n'Add nan checks to every operation.')\n+flags.DEFINE_bool('jax_debug_infs'... | Python | Apache License 2.0 | google/jax | add flag for inf checking |
260,424 | 17.12.2020 18:16:12 | -3,600 | d1cdd7756ca6cfb8bebcd3e5a902135b94a9c087 | Fix UnexpectedTracer omnistaging error. | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -779,8 +779,13 @@ def full_lower(val):\nreturn val\ndef find_top_trace(xs) -> Trace:\n- top_main = max((x._trace.main for x in xs if isinstance(x, Tracer)),\n- default=None, key=attrgetter('level'))\n+ top_t... | Python | Apache License 2.0 | google/jax | Fix UnexpectedTracer omnistaging error. |
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