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 | 20.05.2019 17:19:20 | 25,200 | dcb8584b07c953200c98f8a40584ec55b0b54fd1 | handle tensordot with zero contracting dims
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1585,6 +1585,11 @@ def tensordot(a, b, axes=2):\nraise TypeError(msg.format(ndim(a), ndim(b)))\nif type(axes) is int:\n+ if axes == 0:\n+ a, b = _promote_dtypes(a, b)\n+ return lax.mul... | Python | Apache License 2.0 | google/jax | handle tensordot with zero contracting dims
fixes #740 |
260,335 | 21.05.2019 07:08:13 | 25,200 | f3c1a5cafd1865df5de549b7a65ff54c788cb874 | improve scan error messages, add test (fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -464,9 +464,21 @@ def _promote_aval_rank(n, xs):\ndef _leading_dim_size(xs):\nif isinstance(xs, core.JaxTuple):\n- return _leading_dim_size(xs[0])\n+ sizes = set(map(_leading_... | Python | Apache License 2.0 | google/jax | improve scan error messages, add test (fixes #744) |
260,335 | 21.05.2019 11:18:44 | 25,200 | d01e6a96e2972752ad626a83dd5552744fcd43ea | improve scan error message test | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_control_flow_test.py",
"new_path": "tests/lax_control_flow_test.py",
"diff": "@@ -633,7 +633,7 @@ class LaxControlFlowTest(jtu.JaxTestCase):\nself.assertRaisesRegexp(\nValueError,\n- '.*no leading.*',\n+ 'scan got value with no leading axis to scan o... | Python | Apache License 2.0 | google/jax | improve scan error message test |
260,335 | 21.05.2019 13:54:37 | 25,200 | cf996730cedf3782443ad49f41e1eca5d20bcc0e | add test showing bug in scan higher-order autodiff | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_control_flow_test.py",
"new_path": "tests/lax_control_flow_test.py",
"diff": "@@ -636,6 +636,17 @@ class LaxControlFlowTest(jtu.JaxTestCase):\n'scan got value with no leading axis to scan over.*',\nlambda: lax.scan(plus_one, p0, list(range(5))))\n+ d... | Python | Apache License 2.0 | google/jax | add test showing bug in scan higher-order autodiff |
260,335 | 21.05.2019 15:14:28 | 25,200 | 8c00df1d61d2fec72d7261c924432f5d131d076e | finer-grained passing and failing tests | [
{
"change_type": "MODIFY",
"old_path": "jax/test_util.py",
"new_path": "jax/test_util.py",
"diff": "@@ -152,20 +152,32 @@ def check_vjp(f, f_vjp, args, atol=ATOL, rtol=RTOL, eps=EPS):\ncheck_close(ip, ip_expected, atol=atol, rtol=rtol)\n-def check_grads(f, args, order, atol=None, rtol=None, eps=None... | Python | Apache License 2.0 | google/jax | finer-grained passing and failing tests |
260,335 | 21.05.2019 17:22:33 | 25,200 | 1ecf75770b770c02d560ae49e3bde4baa37c55cb | make check_grads check all orders <= given order | [
{
"change_type": "MODIFY",
"old_path": "jax/test_util.py",
"new_path": "jax/test_util.py",
"diff": "@@ -152,33 +152,32 @@ def check_vjp(f, f_vjp, args, atol=ATOL, rtol=RTOL, eps=EPS):\ncheck_close(ip, ip_expected, atol=atol, rtol=rtol)\n-def check_grads(f, args, order, modes=[\"fwd\", \"rev\"],\n- a... | Python | Apache License 2.0 | google/jax | make check_grads check all orders <= given order |
260,335 | 21.05.2019 18:07:22 | 25,200 | 096dfb9b203c13b151cc5a121033812d0a1b5615 | fixed scan differentiation! | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/ad.py",
"new_path": "jax/interpreters/ad.py",
"diff": "@@ -187,7 +187,11 @@ def backward_pass(jaxpr, consts, freevar_vals, args, cotangent_in):\nif cts_out is zero:\ncts_out = [zero for _ in eqn.invars]\n+ if not eqn.restructure:\nmap(write_co... | Python | Apache License 2.0 | google/jax | fixed scan differentiation! |
260,335 | 21.05.2019 18:19:42 | 25,200 | 6c47c9f2a1ba1ceb501bdeb6cc867736d2badede | loosen tolerance on testLuGrad | [
{
"change_type": "MODIFY",
"old_path": "tests/linalg_test.py",
"new_path": "tests/linalg_test.py",
"diff": "@@ -499,8 +499,7 @@ class ScipyLinalgTest(jtu.JaxTestCase):\n@jtu.skip_on_devices(\"gpu\", \"tpu\")\ndef testLuGrad(self, shape, dtype, rng):\na = rng(shape, dtype)\n-\n- jtu.check_grads(jsp.l... | Python | Apache License 2.0 | google/jax | loosen tolerance on testLuGrad |
260,506 | 21.05.2019 21:34:42 | 14,400 | 8ea5eff3b1eaf59e45c8a003994f5c03a6f76591 | Fix vmap() when there are empty tuples in the input | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/batching.py",
"new_path": "jax/interpreters/batching.py",
"diff": "@@ -291,9 +291,9 @@ def dimsize(dim, x):\ndef _dimsize(dim, aval, x):\nif type(aval) is AbstractTuple:\nif type(dim) is tuple:\n- return reduce(set.union, map(_dimsize, dim, av... | Python | Apache License 2.0 | google/jax | Fix vmap() when there are empty tuples in the input |
260,335 | 21.05.2019 18:51:32 | 25,200 | e04f344ca524c3b3c0b4feaa93ea7f9d57d5df04 | fix typo in lax.scan autodiff test (cf. | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_control_flow_test.py",
"new_path": "tests/lax_control_flow_test.py",
"diff": "@@ -646,7 +646,8 @@ class LaxControlFlowTest(jtu.JaxTestCase):\nas_ = np.arange(6.).reshape((3, 2))\nc = 1.\n- jtu.check_grads(lambda c: lax.scan(f, c, as_), (c,), modes=[\... | Python | Apache License 2.0 | google/jax | fix typo in lax.scan autodiff test (cf. #749) |
260,335 | 21.05.2019 19:18:29 | 25,200 | ec6e39b9b253b708a4b893455523cfa6dd494527 | fix negative index handling in index_take
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -662,6 +662,7 @@ def scatter(operand, scatter_indices, updates, dimension_numbers):\ndef index_take(src, idxs, axes):\nindices = concatenate([reshape(i, [i.shape[0], 1]) for i in idxs], 1)\n+ indices =... | Python | Apache License 2.0 | google/jax | fix negative index handling in index_take
fixes #751 |
260,335 | 21.05.2019 21:37:52 | 25,200 | 14d16b2d660d648f944ca3695369a43da8c53ce1 | support both .reshape(*shape) and .reshape(shape)
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -649,6 +649,20 @@ def _reshape(a, newshape, order=\"C\"):\nelse:\nraise ValueError(\"Unexpected value for 'order' argument: {}.\".format(order))\n+def _reshape_method(a, *newshape, **kw... | Python | Apache License 2.0 | google/jax | support both .reshape(*shape) and .reshape(shape)
fixes #746 |
260,335 | 15.05.2019 07:25:03 | 25,200 | 140699ed7de017918f7049b35bae3e3f0ef4d080 | scan of vmap sketched out! cf. | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/ad.py",
"new_path": "jax/interpreters/ad.py",
"diff": "@@ -557,9 +557,6 @@ def map_transpose(primitive, params, jaxpr, consts, freevar_vals, args, ct):\nfreevar_cts = tree_map(lambda x: x.sum(0), freevar_cts)\nreturn cts_out, freevar_cts\n-def... | Python | Apache License 2.0 | google/jax | scan of vmap sketched out! cf. #716 |
260,335 | 16.05.2019 07:40:31 | 25,200 | 7065cb6374b06ca54969826c1e68b73f937faba5 | move control flow batching tests | [
{
"change_type": "MODIFY",
"old_path": "tests/batching_test.py",
"new_path": "tests/batching_test.py",
"diff": "@@ -889,66 +889,6 @@ class BatchingTest(jtu.JaxTestCase):\nH = hessian(f)(R) # don't crash on UnshapedArray\n- def testWhileLoop(self):\n- def fun(x):\n- return lax.while_loop(lambda x: x ... | Python | Apache License 2.0 | google/jax | move control flow batching tests |
260,335 | 16.05.2019 10:18:53 | 25,200 | 4fe2bcfe4131e0c7e0d756f0ca051a58a1f82db2 | add vmap-of-scan tests, fix minor bugs | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/batching.py",
"new_path": "jax/interpreters/batching.py",
"diff": "@@ -368,6 +368,8 @@ def handle_scalar_broadcasting(nd, x, bdim):\nreturn x.reshape(x.shape + (1,) * (nd - x.ndim))\n+# TODO(mattjj): try to de-duplicate utility functions with ... | Python | Apache License 2.0 | google/jax | add vmap-of-scan tests, fix minor bugs |
260,335 | 22.05.2019 13:33:51 | 25,200 | 0307ce5825cee480356f3333f283e6d9c34b2238 | compare binary lattice prefixes in scan
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -19,6 +19,8 @@ from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n+import operator\n+\nimport numpy as onp\nfrom j... | Python | Apache License 2.0 | google/jax | compare binary lattice prefixes in scan
fixes #757 |
260,335 | 22.05.2019 14:38:49 | 25,200 | a193b3592bba6cc62a7ad4076f37f2f18507a8d6 | when xla_computation sees no kwargs, don't make () | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -175,8 +175,14 @@ def xla_computation(fun, static_argnums=()):\n@wraps(fun)\ndef computation_maker(*args, **kwargs):\nwrapped = lu.wrap_init(fun)\n- jax_kwargs, kwargs_tree = pytree_to_jaxtupletree(kwargs)\nja... | Python | Apache License 2.0 | google/jax | when xla_computation sees no kwargs, don't make () |
260,335 | 22.05.2019 15:59:30 | 25,200 | 09b229969f16beb507e6437c7db6cbc8411ee5de | patch utility functions in batching.py
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/batching.py",
"new_path": "jax/interpreters/batching.py",
"diff": "@@ -252,14 +252,16 @@ def reducer_batcher(prim, batched_args, batch_dims, axes, **params):\ndef add_batched(batched_args, batch_dims):\nbdx, bdy = batch_dims\n- xs, ys = batche... | Python | Apache License 2.0 | google/jax | patch utility functions in batching.py
fixes #758 |
260,335 | 22.05.2019 16:04:16 | 25,200 | 86ad8e0456351dd9ae1ddaf8060d8e5f407703fe | make a batching.py utility function more defensive | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/batching.py",
"new_path": "jax/interpreters/batching.py",
"diff": "@@ -413,9 +413,11 @@ def instantiate_bdim(size, axis, instantiate, bdim, x):\nif type(instantiate) is tuple:\nif type(bdim) is tuple:\nreturn core.pack(map(_inst, instantiate, ... | Python | Apache License 2.0 | google/jax | make a batching.py utility function more defensive |
260,335 | 22.05.2019 16:22:12 | 25,200 | 93e201f85ba2721ef51ac7f06d0e30c794290f37 | make jax.random default dtypes 64-bit
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/random.py",
"new_path": "jax/random.py",
"diff": "@@ -226,19 +226,21 @@ def _check_shape(name, shape):\nraise ValueError(msg.format(name, shape))\n-def uniform(key, shape, dtype=onp.float32, minval=0., maxval=1.):\n+def uniform(key, shape, dtype=onp.float6... | Python | Apache License 2.0 | google/jax | make jax.random default dtypes 64-bit
fixes #756 |
260,335 | 23.05.2019 06:51:16 | 25,200 | c30667941a6226572b79ff12097d324e25112a56 | improve scan error message when output is not pair | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_control_flow.py",
"new_path": "jax/lax/lax_control_flow.py",
"diff": "@@ -570,7 +570,11 @@ def scan(f, init, xs):\njaxpr, pval_out, consts = pe.trace_to_jaxpr(\nf, (carry_pval, x_pval), instantiate=True)\npv_out, const_out = pval_out\n- assert isin... | Python | Apache License 2.0 | google/jax | improve scan error message when output is not pair |
260,335 | 23.05.2019 09:07:44 | 25,200 | 92e5f93a290ec8146ab6a667abe54adbf39d61ff | tweak docstrings in mnist examples | [
{
"change_type": "ADD",
"old_path": null,
"new_path": "examples/fluidsim.py",
"diff": "+# Copyright 2018 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 License ... | Python | Apache License 2.0 | google/jax | tweak docstrings in mnist examples |
260,335 | 23.05.2019 11:28:15 | 25,200 | 8ffb9417e7a49201195704ede4b8731fd4975c3d | fix stax initialization rng bug, remove temp file | [
{
"change_type": "DELETE",
"old_path": "examples/spmd_spatially_sharded_conv_net.py",
"new_path": null,
"diff": "-# Copyright 2019 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 | fix stax initialization rng bug, remove temp file |
260,335 | 23.05.2019 12:57:58 | 25,200 | 913bc6b508daf0121ef4307fa607dede5b2ccfd8 | fix stax dtype breakage | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/stax.py",
"new_path": "jax/experimental/stax.py",
"diff": "@@ -60,8 +60,9 @@ def fastvar(x, axis, keepdims):\ndef randn(stddev=1e-2):\n\"\"\"An initializer function for random normal coefficients.\"\"\"\n+ stddev = lax.convert_element_type(std... | Python | Apache License 2.0 | google/jax | fix stax dtype breakage |
260,335 | 24.05.2019 10:44:33 | 25,200 | 2802c8f51434403fad17a8407848597d799a433d | try pinning travis to jaxlib==0.1.15
Currently Travis CI builds are failing in a way we can't reproduce
locally. | [
{
"change_type": "MODIFY",
"old_path": ".travis.yml",
"new_path": ".travis.yml",
"diff": "@@ -21,7 +21,7 @@ before_install:\n- conda config --add channels conda-forge\ninstall:\n- conda install --yes python=$TRAVIS_PYTHON_VERSION pip six protobuf>=3.6.0 absl-py opt_einsum numpy scipy pytest-xdist\n-... | Python | Apache License 2.0 | google/jax | try pinning travis to jaxlib==0.1.15
Currently Travis CI builds are failing in a way we can't reproduce
locally. |
260,335 | 24.05.2019 19:02:40 | 25,200 | 6fe6cb0dbe3c55ebffe260f596896bafa3b24367 | try fixing travis by using only one pytest job | [
{
"change_type": "MODIFY",
"old_path": ".travis.yml",
"new_path": ".travis.yml",
"diff": "@@ -21,7 +21,7 @@ before_install:\n- conda config --add channels conda-forge\ninstall:\n- conda install --yes python=$TRAVIS_PYTHON_VERSION pip six protobuf>=3.6.0 absl-py opt_einsum numpy scipy pytest-xdist\n-... | Python | Apache License 2.0 | google/jax | try fixing travis by using only one pytest job |
260,314 | 25.05.2019 16:56:22 | 14,400 | e9ec30c096af45c420bd52d98a7908e2df753ba3 | promote args for special functions | [
{
"change_type": "MODIFY",
"old_path": "jax/scipy/special.py",
"new_path": "jax/scipy/special.py",
"diff": "@@ -27,12 +27,34 @@ from ..numpy.lax_numpy import (_wraps, asarray, _reduction_dims, _constant_like,\n_promote_args_like)\n-# need to create new functions because _wraps sets the __name__ attr... | Python | Apache License 2.0 | google/jax | promote args for special functions |
260,314 | 25.05.2019 22:45:01 | 14,400 | 57aac741ac7c5f1066168f08a8f2353d16ba569b | fix typos when getting output of promote_args | [
{
"change_type": "MODIFY",
"old_path": "jax/scipy/special.py",
"new_path": "jax/scipy/special.py",
"diff": "@@ -29,31 +29,31 @@ from ..numpy.lax_numpy import (_wraps, asarray, _reduction_dims, _constant_like,\n@_wraps(osp_special.gammaln)\ndef gammaln(x):\n- x = _promote_args_like(osp_special.gammal... | Python | Apache License 2.0 | google/jax | fix typos when getting output of promote_args |
260,335 | 28.05.2019 20:25:38 | 25,200 | 743727325f4da4c2344fd3b9a9a0784eabeb76c4 | improve error message for grad of non-scalar funs | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -303,7 +303,7 @@ def _check_scalar(x):\nraise TypeError(msg(x))\nelse:\nif not (isinstance(aval, ShapedArray) and aval.shape == ()):\n- raise TypeError(msg(x))\n+ raise TypeError(msg(aval))\ndef jacfwd(fun, ar... | Python | Apache License 2.0 | google/jax | improve error message for grad of non-scalar funs |
260,335 | 28.05.2019 21:07:13 | 25,200 | 2bf9d5aae919098e2c8afd3b64c402c48a821387 | loosen tolerance on tanh grad test | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_test.py",
"new_path": "tests/lax_test.py",
"diff": "@@ -82,7 +82,8 @@ LAX_OPS = [\nop_record(lax.expm1, 1, float_dtypes + complex_dtypes, jtu.rand_small()),\nop_record(lax.log, 1, float_dtypes + complex_dtypes, jtu.rand_positive()),\nop_record(lax.lo... | Python | Apache License 2.0 | google/jax | loosen tolerance on tanh grad test |
260,335 | 28.05.2019 21:10:09 | 25,200 | 5a049feea9cdf88948b5a4b5f05222ac869153de | further improve grad-of-nonscalar error message | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -296,14 +296,17 @@ def value_and_grad(fun, argnums=0, has_aux=False, holomorphic=False):\nreturn value_and_grad_f\ndef _check_scalar(x):\n- msg = \"Gradient only defined for scalar-output functions. Output was... | Python | Apache License 2.0 | google/jax | further improve grad-of-nonscalar error message |
260,335 | 28.05.2019 21:36:34 | 25,200 | 3b290457c483f60bb224131dc0176f48baac6acc | move stax randn init convert_element_type later | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/stax.py",
"new_path": "jax/experimental/stax.py",
"diff": "@@ -60,8 +60,8 @@ def fastvar(x, axis, keepdims):\ndef randn(stddev=1e-2):\n\"\"\"An initializer function for random normal coefficients.\"\"\"\n- stddev = lax.convert_element_type(std... | Python | Apache License 2.0 | google/jax | move stax randn init convert_element_type later |
260,335 | 28.05.2019 21:48:15 | 25,200 | 9fab325a675b84da13d4788ccae88b9e820cef84 | loosen tanh grad test tolerance (2bf9d5a fix) | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_test.py",
"new_path": "tests/lax_test.py",
"diff": "@@ -82,8 +82,7 @@ LAX_OPS = [\nop_record(lax.expm1, 1, float_dtypes + complex_dtypes, jtu.rand_small()),\nop_record(lax.log, 1, float_dtypes + complex_dtypes, jtu.rand_positive()),\nop_record(lax.lo... | Python | Apache License 2.0 | google/jax | loosen tanh grad test tolerance (2bf9d5a fix) |
260,335 | 28.05.2019 22:38:06 | 25,200 | 9c931ddebe4ae52877f0404c55e9d6f4a97a274e | allow more types to be jaxpr literals, fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/abstract_arrays.py",
"new_path": "jax/abstract_arrays.py",
"diff": "@@ -199,3 +199,7 @@ def raise_to_shaped(aval):\nreturn ShapedArray(aval.shape, aval.dtype)\nelse:\nraise TypeError(type(aval))\n+\n+def is_scalar(x):\n+ return isinstance(x, tuple(scalar_t... | Python | Apache License 2.0 | google/jax | allow more types to be jaxpr literals, fixes #772 |
260,335 | 28.05.2019 22:50:52 | 25,200 | 310103f578e078f55e70618e03fb782f76c9be2e | try a tweak on Literal for more cache hits | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -100,7 +100,23 @@ def jaxpr_as_fun(typed_jaxpr, *args):\nJaxprEqn = namedtuple('JaxprEqn', ['invars', 'outvars', 'primitive',\n'bound_subjaxprs', 'restructure',\n'destructure', 'params'])\n-class Literal(Wra... | Python | Apache License 2.0 | google/jax | try a tweak on Literal for more cache hits |
260,335 | 29.05.2019 08:12:05 | 25,200 | 778435a90b01762b6f207f352e8f8e5c013318b3 | undo in favor of new literal staging method | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -118,6 +118,9 @@ class Literal(object):\ndef __eq__(self, other):\nreturn self.val == other.val if self.hashable else self.val is other.val\n+ def __repr__(self):\n+ return 'Literal(val={}, hashable={})'.for... | Python | Apache License 2.0 | google/jax | undo #503 in favor of new literal staging method |
260,389 | 29.05.2019 11:25:42 | 25,200 | c9b2e79bd131f65dd659c6affc76a2d37c26f68b | Drop dead compiled_call code | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/ad.py",
"new_path": "jax/interpreters/ad.py",
"diff": "@@ -614,7 +614,5 @@ def jvp_jaxpr(jaxpr, nonzeros, instantiate):\nprimitive_transposes[core.call_p] = partial(call_transpose, call_p)\n-primitive_transposes[pe.compiled_call_p] = partial(c... | Python | Apache License 2.0 | google/jax | Drop dead compiled_call code |
260,409 | 29.05.2019 16:35:39 | 14,400 | 58c02215052e68dc9fd60e93cccf1fc0f584ad85 | Updating GP regression example | [
{
"change_type": "MODIFY",
"old_path": "examples/gaussian_process_regression.py",
"new_path": "examples/gaussian_process_regression.py",
"diff": "@@ -20,77 +20,98 @@ from __future__ import division\nfrom __future__ import print_function\nfrom absl import app\nfrom absl import flags\n+from functools ... | Python | Apache License 2.0 | google/jax | Updating GP regression example |
260,409 | 30.05.2019 12:13:10 | 14,400 | 06d41fbad1d8a5df938babd734b44d1a41c68fc5 | Added a note about squared distances | [
{
"change_type": "MODIFY",
"old_path": "examples/gaussian_process_regression.py",
"new_path": "examples/gaussian_process_regression.py",
"diff": "@@ -56,6 +56,9 @@ def main(unused_argv):\ndef softplus(x):\nreturn np.logaddexp(x, 0.)\n+ # Note, writing out the vectorized form of the identity\n+ # ||x... | Python | Apache License 2.0 | google/jax | Added a note about squared distances |
260,335 | 31.05.2019 09:20:45 | 25,200 | 0a8810d9bc9cfe62307d47f7d71d62dc0a6d8a94 | abstract_eval_fun should instantiate output pval | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/partial_eval.py",
"new_path": "jax/interpreters/partial_eval.py",
"diff": "@@ -212,8 +212,9 @@ def partial_eval_wrapper(avals, *consts):\ndef abstract_eval_fun(fun, *avals, **params):\npvs_in = [PartialVal((a, unit)) for a in avals]\n- _, pvou... | Python | Apache License 2.0 | google/jax | abstract_eval_fun should instantiate output pval |
260,335 | 31.05.2019 14:04:04 | 25,200 | 8377224b905b1fa3cbd2eaa9be52f749058581bc | ppermute (aka collective_permute) jvp + transpose | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_parallel.py",
"new_path": "jax/lax/lax_parallel.py",
"diff": "@@ -214,12 +214,12 @@ def _ppermute_translation_rule(c, x, replica_groups, perm):\nreturn c.CollectivePermute(x, full_perm)\ndef _ppermute_transpose_rule(t, perm, axis_name):\n- sources,... | Python | Apache License 2.0 | google/jax | ppermute (aka collective_permute) jvp + transpose |
260,335 | 31.05.2019 14:11:38 | 25,200 | dffe49153700055e1d0c344dad2bb3d0edf07525 | add another ppermute test, remove extra print call | [
{
"change_type": "MODIFY",
"old_path": "tests/pmap_test.py",
"new_path": "tests/pmap_test.py",
"diff": "@@ -303,7 +303,19 @@ class PmapTest(jtu.JaxTestCase):\nx = onp.arange(device_count, dtype=onp.float32)\nans = grad(g)(x)\nexpected = onp.concatenate([onp.pi + onp.arange(1, device_count), [0]])\n-... | Python | Apache License 2.0 | google/jax | add another ppermute test, remove extra print call |
260,335 | 01.06.2019 08:30:25 | 25,200 | 93e114337334fd0e42ac5bf0d5caecdab5344383 | improve disable_jit docstring | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -128,16 +128,17 @@ def _jit(fun, static_argnums, device_values=True):\n@contextmanager\ndef disable_jit():\n- \"\"\"Context manager that disables `jit`.\n+ \"\"\"Context manager that disables `jit` behavior un... | Python | Apache License 2.0 | google/jax | improve disable_jit docstring |
260,335 | 01.06.2019 09:34:33 | 25,200 | 11c512a194add25ade20dbfacf635d6e0834eba3 | add jax.eval_shape, fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1062,3 +1062,54 @@ def _make_graphviz(fun):\ngraphviz_maker.__name__ = \"make_graphviz({})\".format(graphviz_maker.__name__)\nreturn graphviz_maker\n+\n+\n+def eval_shape(fun, *args, **kwargs):\n+ \"\"\"Compu... | Python | Apache License 2.0 | google/jax | add jax.eval_shape, fixes #798 |
260,335 | 01.06.2019 09:48:28 | 25,200 | dda95df519f3f421241e3fcda050e690524c012f | fix duck typing in jax.eval_shape (cf. | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1083,21 +1083,26 @@ def eval_shape(fun, *args, **kwargs):\nArgs:\n*args: a positional argument tuple of arrays, scalars, or (nested) standard\n- Python containers (pytrees) of those types. Since only the ``sh... | Python | Apache License 2.0 | google/jax | fix duck typing in jax.eval_shape (cf. #798) |
260,335 | 01.06.2019 09:53:32 | 25,200 | ffec059f0ef4ebb27973868167bd13011ed321ab | add jax.eval_shape to reference docs via jax.rst | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.rst",
"new_path": "docs/jax.rst",
"diff": "@@ -19,6 +19,6 @@ Module contents\n---------------\n.. automodule:: jax\n- :members: jit, disable_jit, grad, value_and_grad, vmap, pmap, jacfwd, jacrev, hessian, jvp, linearize, vjp, make_jaxpr\n+ :members: j... | Python | Apache License 2.0 | google/jax | add jax.eval_shape to reference docs via jax.rst |
260,335 | 03.06.2019 07:22:32 | 25,200 | fadd18b36c32ed3a2903dee745e68513d250f013 | namedtuple subclass transparency (fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/tree_util.py",
"new_path": "jax/tree_util.py",
"diff": "@@ -247,7 +247,7 @@ def _get_node_type(maybe_tree):\nreturn node_types.get(t) or _namedtuple_node(t)\ndef _namedtuple_node(t):\n- if t.__bases__ == (tuple,) and hasattr(t, '_fields'):\n+ if issubclass... | Python | Apache License 2.0 | google/jax | namedtuple subclass transparency (fixes #806) |
260,335 | 04.06.2019 13:17:41 | 25,200 | a12ca881a363354b07affadda86f92227be3a6ef | add future to macos wheel build script | [
{
"change_type": "MODIFY",
"old_path": "build/build_jaxlib_wheels_macos.sh",
"new_path": "build/build_jaxlib_wheels_macos.sh",
"diff": "@@ -27,7 +27,7 @@ build_jax () {\npyenv activate \"${VENV}\"\n# We pin the Numpy wheel to a version < 1.16.0, because Numpy extensions built\n# at 1.16.0 are not ba... | Python | Apache License 2.0 | google/jax | add future to macos wheel build script |
260,335 | 04.06.2019 18:33:52 | 25,200 | e1f32d0d1e98b2b55d8b0ceefdfe14f7182f84e6 | add process_map to vmap tracer, i.e. vmap-of-pmap | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/batching.py",
"new_path": "jax/interpreters/batching.py",
"diff": "@@ -124,6 +124,8 @@ class BatchTrace(Trace):\nreturn BatchTracer(self, val_out, dim_out)\ndef process_call(self, call_primitive, f, tracers, params):\n+ if call_primitive in pe... | Python | Apache License 2.0 | google/jax | add process_map to vmap tracer, i.e. vmap-of-pmap |
260,335 | 03.06.2019 07:17:37 | 25,200 | 35e5e64416a0c1ab9376eccc7b1ce1f9278235a9 | make custom_transforms handle pytrees, add api.defvjp
With advice from | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -26,6 +26,7 @@ from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n+import collections\nimport itertools\nimport operator as op\nimport os\n@@ -38,6 ... | Python | Apache License 2.0 | google/jax | make custom_transforms handle pytrees, add api.defvjp
With advice from @dougalm! |
260,335 | 05.06.2019 13:20:44 | 25,200 | 372d60bb08232e171a9480c6b1e66827b72c439e | add docstring to custom_transforms | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -73,8 +73,8 @@ def jit(fun, static_argnums=()):\nArgs:\nfun: Function to be jitted. Should be a pure function, as side-effects may\n- only be executed once. Its positional arguments and return value should be\... | Python | Apache License 2.0 | google/jax | add docstring to custom_transforms |
260,335 | 05.06.2019 13:48:04 | 25,200 | 720dec4072ed9c0ead049ce90321d600110192f1 | add custom_gradient | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.rst",
"new_path": "docs/jax.rst",
"diff": "@@ -19,6 +19,6 @@ Module contents\n---------------\n.. automodule:: jax\n- :members: jit, disable_jit, grad, value_and_grad, vmap, pmap, jacfwd, jacrev, hessian, jvp, linearize, vjp, make_jaxpr, eval_shape\n+... | Python | Apache License 2.0 | google/jax | add custom_gradient |
260,335 | 05.06.2019 17:04:33 | 25,200 | 9e49500c54b7a51eb379b4625275e30ec9b0921c | simplify gather shape rule | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -2631,22 +2631,11 @@ def _gather_shape_rule(operand, start_indices, dimension_numbers, slice_sizes,\nmsg = (\"slice_sizes must have rank equal to the gather operand; \"\n\"operand.shape={}, slice_sizes... | Python | Apache License 2.0 | google/jax | simplify gather shape rule
Co-authored-by: Roy Frostig <frostig@google.com> |
260,335 | 05.06.2019 16:56:43 | 25,200 | ab20f0292ca22ee68c7c7debe12467ff932d8ce3 | add docstring for defjvp_all | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.rst",
"new_path": "docs/jax.rst",
"diff": "@@ -19,6 +19,6 @@ Module contents\n---------------\n.. automodule:: jax\n- :members: jit, disable_jit, grad, value_and_grad, vmap, pmap, jacfwd, jacrev, hessian, jvp, linearize, vjp, make_jaxpr, eval_shape, c... | Python | Apache License 2.0 | google/jax | add docstring for defjvp_all |
260,335 | 05.06.2019 17:56:18 | 25,200 | 948ec8fbe8ef887935cbf53ec0d83265cafcaa8a | add docstrings for defjvp and defjvp2 | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1082,8 +1082,15 @@ def defjvp_all(fun, custom_jvp):\n``custom_jvp`` represents a function with signature ``a -> T a -> (b, Tb)``,\nwhere we use ``T x`` to represent a tangent type for the type ``x``.\n- Defin... | Python | Apache License 2.0 | google/jax | add docstrings for defjvp and defjvp2 |
260,335 | 05.06.2019 18:02:15 | 25,200 | cfaa49f8843f2c1bfa18dc4d42f291ad72be362f | improve custom_gradient docstring | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1326,6 +1326,14 @@ def custom_gradient(fun):\nIf the function to be differentiated has type signature ``a -> b``, then the\nPython callable ``fun`` should have signature ``a -> (b, CT b -> CT a)`` where\nwe u... | Python | Apache License 2.0 | google/jax | improve custom_gradient docstring |
260,335 | 05.06.2019 19:13:33 | 25,200 | a6c41a323c1c9a4bd737fae31de889d7828b401d | finish drafting defvjp/defjvp docstrings | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -1076,7 +1076,7 @@ def _check_custom_transforms_type(name, fun):\nraise TypeError(msg.format(name, type(fun)))\ndef defjvp_all(fun, custom_jvp):\n- \"\"\"Define a custom JVP rule for a custom_transforms functi... | Python | Apache License 2.0 | google/jax | finish drafting defvjp/defjvp docstrings |
260,288 | 05.06.2019 18:43:58 | 25,200 | 305127d814b5b282190f166cd8b911b3fc749a0e | Changes to jax optimizers.py to facilitate serialization of optimizer state. | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/optimizers.py",
"new_path": "jax/experimental/optimizers.py",
"diff": "@@ -423,3 +423,51 @@ def clip_grads(grad_tree, max_norm):\nnorm = l2_norm(grad_tree)\nnormalize = lambda g: np.where(norm < max_norm, g, g * (max_norm / norm))\nreturn tree... | Python | Apache License 2.0 | google/jax | Changes to jax optimizers.py to facilitate serialization of optimizer state.
Co-authored-by: Matthew Johnson <mattjj@google.com> |
260,335 | 06.06.2019 10:12:07 | 25,200 | 121d78129b8705d7b0bdd55d5bff87ab79b06b40 | docstring improvements from comments | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -979,26 +979,10 @@ def custom_transforms(fun):\ntransformations like ``jax.jit`` and ``jax.vmap``. Custom differentiation\nrules can be supplied using the ``jax.defjvp`` and ``jax.defvjp`` functions.\n- JAX tr... | Python | Apache License 2.0 | google/jax | docstring improvements from @skye comments |
260,335 | 07.06.2019 16:00:11 | 25,200 | d622e78e82a408a98334ea2548c0bf9b0e4787ff | fix broken travis path from previous commit | [
{
"change_type": "MODIFY",
"old_path": ".travis.yml",
"new_path": ".travis.yml",
"diff": "@@ -11,9 +11,9 @@ env:\n- JAX_ENABLE_X64=1 JAX_NUM_GENERATED_CASES=100\nbefore_install:\n- if [[ \"$TRAVIS_PYTHON_VERSION\" == \"2.7\" ]]; then\n- wget https://repo.continuum.io/miniconda/Miniconda2-0.1.18-Linu... | Python | Apache License 2.0 | google/jax | fix broken travis path from previous commit |
260,335 | 08.06.2019 08:57:34 | 25,200 | 35de70472933a10030111dad75dadff9a63fc4b1 | add pswapaxes lowering (fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_parallel.py",
"new_path": "jax/lax/lax_parallel.py",
"diff": "@@ -106,6 +106,9 @@ def ppermute(x, axis_name, perm):\ndef pswapaxes(x, axis_name, axis):\n\"\"\"Swap the pmapped axis ``axis_name`` with the unmapped axis ``axis``.\n+ The mapped axis s... | Python | Apache License 2.0 | google/jax | add pswapaxes lowering (fixes #827) |
260,335 | 08.06.2019 09:03:55 | 25,200 | d7c7df1bfd3f520dd55e18bcc70e905333b289b8 | temporarily disable a check in pswapaxes | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_parallel.py",
"new_path": "jax/lax/lax_parallel.py",
"diff": "@@ -124,11 +124,12 @@ def pswapaxes(x, axis_name, axis):\nwhere ``axis_size`` is the size of the mapped axis named ``axis_name`` in\nthe input ``x``.\n\"\"\"\n- axis_size = psum(1, axis_... | Python | Apache License 2.0 | google/jax | temporarily disable a check in pswapaxes |
260,335 | 08.06.2019 09:11:25 | 25,200 | c061fd7b058759133aa56d48130fad1a0a0a311b | improve error for unimplemented parallel primitive | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -229,6 +229,8 @@ def xla_unshard(c, replica_groups, x):\n### the main pmap machinery lowers SPMD jaxprs to multi-replica XLA computations\n+class PmapPrimitive(core.Primitive): pass... | Python | Apache License 2.0 | google/jax | improve error for unimplemented parallel primitive |
260,335 | 09.06.2019 09:49:16 | 25,200 | 4ab89084f1e1764e65e60ff2f3dce1f2c8f328f0 | fix DeviceTuple constant handler (fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/xla.py",
"new_path": "jax/interpreters/xla.py",
"diff": "@@ -470,9 +470,8 @@ pytype_aval_mappings[DeviceTuple] = op.attrgetter('aval')\ncanonicalize_dtype_handlers[DeviceTuple] = identity\ndef _device_tuple_constant_handler(c, val, canonicaliz... | Python | Apache License 2.0 | google/jax | fix DeviceTuple constant handler (fixes #831) |
260,335 | 09.06.2019 20:18:18 | 25,200 | 1829508b28b4386ac5511f4d668cbbef308b48b0 | np.arange shouldn't pop its kwargs (fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -1379,7 +1379,7 @@ def identity(n, dtype=None):\n@_wraps(onp.arange)\ndef arange(*args, **kwargs):\n- dtype = kwargs.pop(\"dtype\", None)\n+ dtype = kwargs.get(\"dtype\", None)\nif not ... | Python | Apache License 2.0 | google/jax | np.arange shouldn't pop its kwargs (fixes #830) |
260,335 | 10.06.2019 12:17:20 | 25,200 | aebf7eb0884c695b0d4950667c03c1e251d5ab0f | fix jax.numpy.transpose arg name 'axes' | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -512,9 +512,9 @@ def sinc(x):\n@_wraps(onp.transpose)\n-def transpose(x, axis=None):\n- axis = onp.arange(ndim(x))[::-1] if axis is None else axis\n- return lax.transpose(x, axis)\n+def... | Python | Apache License 2.0 | google/jax | fix jax.numpy.transpose arg name 'axes' |
260,335 | 11.06.2019 06:52:55 | 25,200 | bbf625e0df781a8420f35621e1c99a46cf37130a | fix jax.rst docs (remove defvjp2 / defjvp2) | [
{
"change_type": "MODIFY",
"old_path": "docs/jax.rst",
"new_path": "docs/jax.rst",
"diff": "@@ -19,6 +19,6 @@ Module contents\n---------------\n.. automodule:: jax\n- :members: jit, disable_jit, grad, value_and_grad, vmap, pmap, jacfwd, jacrev, hessian, jvp, linearize, vjp, make_jaxpr, eval_shape, c... | Python | Apache License 2.0 | google/jax | fix jax.rst docs (remove defvjp2 / defjvp2) |
260,335 | 11.06.2019 14:56:21 | 25,200 | a56a7d02ffba288f1b5f6dbfb54fa89a3bcb9ec2 | make threefry_2x32 not do any op-by-op stuff | [
{
"change_type": "MODIFY",
"old_path": "jax/numpy/lax_numpy.py",
"new_path": "jax/numpy/lax_numpy.py",
"diff": "@@ -146,7 +146,7 @@ def _promote_shapes(*args):\nshapes = [shape(arg) for arg in args]\nnd = len(lax.broadcast_shapes(*shapes))\nreturn [lax.reshape(arg, (1,) * (nd - len(shp)) + shp)\n- i... | Python | Apache License 2.0 | google/jax | make threefry_2x32 not do any op-by-op stuff |
260,335 | 14.06.2019 11:49:07 | 25,200 | 191206db90088a3c4f6628b6ce0a8fa35860886a | fix the david sussillo bug | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/partial_eval.py",
"new_path": "jax/interpreters/partial_eval.py",
"diff": "@@ -405,9 +405,8 @@ def trace_to_subjaxpr(master, instantiate, pvals):\nin_tracers = map(trace.new_arg, pvals)\nout_tracer = yield in_tracers, {}\nout_tracer = trace.fu... | Python | Apache License 2.0 | google/jax | fix the david sussillo bug
Co-authored-by: Dougal Maclaurin <dougalm@google.com> |
260,335 | 15.06.2019 12:01:20 | 25,200 | 1262ca9b309580eed69c8d7179a58db2c76b71a1 | improve conv rhs batching, add systematic test | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -1843,15 +1843,13 @@ def _conv_general_dilated_batch_rule(\nreturn outputs, 0\nelif rhs_bdim is not None:\n- #TODO(#212): use a map construct instead of unrolling.\n- rhs = batching.move_dim_to_front(r... | Python | Apache License 2.0 | google/jax | improve conv rhs batching, add systematic test |
260,335 | 15.06.2019 13:38:55 | 25,200 | ff29d582e8f287954ba446fb08924bae5eba2857 | t # This is a combination of 2 commits.
make all conv vmap rules generate a single call
also plumb feature_group_count and batch_group_count everywhere | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -371,7 +371,8 @@ def concatenate(operands, dimension):\noperand_shapes=tuple(o.shape for o in operands))\ndef conv_general_dilated(lhs, rhs, window_strides, padding, lhs_dilation=None,\n- rhs_dilation=... | Python | Apache License 2.0 | google/jax | t # This is a combination of 2 commits.
make all conv vmap rules generate a single call
also plumb feature_group_count and batch_group_count everywhere |
260,273 | 17.06.2019 12:18:58 | -7,200 | 077d56529fcfd98f773a0cfeb6315e22273427ed | grouped convolution support | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -438,6 +438,18 @@ def conv_general_dilated(lhs, rhs, window_strides, padding, lhs_dilation=None,\nlhs_dilation = (1,) * (lhs.ndim - 2)\nif rhs_dilation is None:\nrhs_dilation = (1,) * (rhs.ndim - 2)\n+... | Python | Apache License 2.0 | google/jax | grouped convolution support |
260,335 | 17.06.2019 11:49:54 | 25,200 | fef68deef62157baaed3d5e4672dfca4ae593611 | fix reshape transpose bug (and add tests)
This version of reshape (taking a `dimensions` argument, which
effectively fuses in a transpose) seems only to be used in the JVP rule
for lax._reduce_prod (basically np.product), but its transpose rule was
totally busted and untested. | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -1600,7 +1600,7 @@ ad.defjvp(sub_p,\nad.primitive_transposes[sub_p] = _sub_transpose\nmul_p = standard_binop([_num, _num], 'mul')\n-ad.defbilinear_broadcasting(_brcast, mul_p, mul, mul) # TODO\n+ad.def... | Python | Apache License 2.0 | google/jax | fix reshape transpose bug (and add tests)
This version of reshape (taking a `dimensions` argument, which
effectively fuses in a transpose) seems only to be used in the JVP rule
for lax._reduce_prod (basically np.product), but its transpose rule was
totally busted and untested. |
260,273 | 17.06.2019 20:40:31 | -7,200 | e3462fd8b177bca761aface385e76867830e0a41 | write out batch_feature_groups to simplify and correct implementation | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -372,7 +372,7 @@ def concatenate(operands, dimension):\ndef conv_general_dilated(lhs, rhs, window_strides, padding, lhs_dilation=None,\nrhs_dilation=None, dimension_numbers=None,\n- feature_group_count... | Python | Apache License 2.0 | google/jax | write out batch_feature_groups to simplify and correct implementation |
260,335 | 17.06.2019 14:23:26 | 25,200 | 96775a4d40cf2e06c68fe69a8cd0f6f0b7cc2242 | add tuple simplification logic | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/partial_eval.py",
"new_path": "jax/interpreters/partial_eval.py",
"diff": "@@ -260,6 +260,9 @@ class JaxprTracer(Tracer):\nreturn self\ndef unpack(self):\n+ if type(self.recipe) is JaxprEqn and self.recipe.primitive is core.pack_p:\n+ return t... | Python | Apache License 2.0 | google/jax | add tuple simplification logic
Co-authored-by: Dougal Maclaurin <dougalm@google.com> |
260,335 | 17.06.2019 19:39:14 | 25,200 | 6dd54236665ed1ade1574e453f22a320bc5e9e94 | manually fuse a transpose into a reshape | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -1903,7 +1903,7 @@ def _reshape_axis_into(src, dst, x):\nperm.insert(dst, src)\nnew_shape = list(onp.delete(x.shape, src))\nnew_shape[dst] *= x.shape[src]\n- return reshape(transpose(x, perm), new_shap... | Python | Apache License 2.0 | google/jax | manually fuse a transpose into a reshape |
260,335 | 18.06.2019 08:09:37 | 25,200 | 221426fadcfd99cc4e95f562b51ff33a18621630 | de-duplicate constants staged into jaxprs | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -119,6 +119,9 @@ class Literal(object):\nreturn self.val == other.val if self.hashable else self.val is other.val\ndef __repr__(self):\n+ if self.hashable:\n+ return '{}'.format(self.val)\n+ else:\nreturn 'L... | Python | Apache License 2.0 | google/jax | de-duplicate constants staged into jaxprs
Co-authored-by: Peter Hawkins <phawkins@google.com>
Co-authored-by: Dougal Maclaurin <dougalm@google.com> |
260,335 | 18.06.2019 09:18:44 | 25,200 | eb01b8bfef577ea94125ee77137d02eb539be5f9 | improve linearize error message
fixes | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -762,13 +762,23 @@ def linearize(fun, *primals):\nout_primal, out_pval, jaxpr, consts = ad.linearize(jaxtree_fun, *primals_flat)\nout_tree = out_tree()\nout_primal_py = build_tree(out_tree, out_primal)\n- lift... | Python | Apache License 2.0 | google/jax | improve linearize error message
fixes #871 |
260,335 | 18.06.2019 21:23:52 | 25,200 | e939e7291a6c07ad41fddc7f0325e62540f46457 | lower args in JaxprTrace.process_eval | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/partial_eval.py",
"new_path": "jax/interpreters/partial_eval.py",
"diff": "@@ -94,6 +94,9 @@ class JaxprTrace(Trace):\npartial_eval = custom_partial_eval_rules[primitive]\nreturn partial_eval(self, *tracers, **params)\nelse:\n+ pvs, consts = u... | Python | Apache License 2.0 | google/jax | lower args in JaxprTrace.process_eval |
260,335 | 18.06.2019 21:51:51 | 25,200 | b53bccc5d07436e3aedc28a220e43675fb60b607 | make more literals nontrivially hashable | [
{
"change_type": "MODIFY",
"old_path": "jax/core.py",
"new_path": "jax/core.py",
"diff": "@@ -20,9 +20,11 @@ from operator import attrgetter\nfrom contextlib import contextmanager\nfrom collections import namedtuple, Counter, defaultdict\nfrom weakref import ref\n-import six\nimport types\n+import n... | Python | Apache License 2.0 | google/jax | make more literals nontrivially hashable |
260,335 | 19.06.2019 07:44:46 | 25,200 | 0a040fcba0659908dca5f3e6ac10dc392e475fb6 | fix parallel axis_index w/ custom partial_eval | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -399,11 +399,17 @@ def axis_index(axis_name):\nreturn axis_index_p.bind(trace.pure(core.unit),\naxis_size=axis_size, axis_name=axis_name)\n+def _axis_index_partial_eval(trace, _, **... | Python | Apache License 2.0 | google/jax | fix parallel axis_index w/ custom partial_eval |
260,335 | 19.06.2019 10:32:55 | 25,200 | 5aef18f897dfff50b9c9604b1181c0ff55e2f97d | improve literal hashing logic
This fixes a bug where scalar ndarray literals with different dtypes
could hash to the same value. It also makes scalar DeviceArray literals
hashable after | [
{
"change_type": "MODIFY",
"old_path": "jax/abstract_arrays.py",
"new_path": "jax/abstract_arrays.py",
"diff": "@@ -200,6 +200,4 @@ def raise_to_shaped(aval):\nelse:\nraise TypeError(type(aval))\n-def is_scalar(x):\n- return isinstance(x, tuple(scalar_types)) and onp.shape(x) == ()\n-scalar_types = ... | Python | Apache License 2.0 | google/jax | improve literal hashing logic
This fixes a bug where scalar ndarray literals with different dtypes
could hash to the same value. It also makes scalar DeviceArray literals
hashable after #884. |
260,335 | 19.06.2019 12:43:35 | 25,200 | 7c7031384b55f60ecc943251b1a34e2f7350021d | skip some conv vmap tests on cpu and tpu | [
{
"change_type": "MODIFY",
"old_path": "tests/lax_test.py",
"new_path": "tests/lax_test.py",
"diff": "@@ -2219,6 +2219,10 @@ class LaxVmapTest(jtu.JaxTestCase):\nif (lhs_bdim, rhs_bdim) != (None, None)\nfor rng in [jtu.rand_default()]\n))\n+ # TODO(mattjj): some cases fail on CPU with the latest XLA... | Python | Apache License 2.0 | google/jax | skip some conv vmap tests on cpu and tpu |
260,512 | 19.06.2019 19:20:14 | 25,200 | d420517d7ba0a68848226cb80feb201a257faf52 | Add link to XLA header in jax_to_hlo | [
{
"change_type": "MODIFY",
"old_path": "jax/tools/jax_to_hlo.py",
"new_path": "jax/tools/jax_to_hlo.py",
"diff": "@@ -61,7 +61,7 @@ This generates two BUILD targets:\n//your/thing:prog_hlo.txt\nYou can then depend on one of these as a data dependency and invoke it using\n-XLA's public C++ APIs.\n+XL... | Python | Apache License 2.0 | google/jax | Add link to XLA header in jax_to_hlo |
260,335 | 20.06.2019 07:23:14 | 25,200 | 37fd8efa42ed3c0598ab9e75bf39cafc4076b18e | fix a case of const instantiation for scan | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/partial_eval.py",
"new_path": "jax/interpreters/partial_eval.py",
"diff": "@@ -424,7 +424,7 @@ def instantiate_const_at(trace, instantiate, tracer):\nreturn pack(map(partial(instantiate_const_at, trace), instantiate, tracer))\nelif t is bool:\... | Python | Apache License 2.0 | google/jax | fix a case of const instantiation for scan |
260,535 | 20.06.2019 16:23:13 | 25,200 | 8b163628fdb504ee51975383d35c2d43bdc3085f | map stop_gradient over data structure. otherwise it is silently a no-op | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax.py",
"new_path": "jax/lax/lax.py",
"diff": "@@ -45,7 +45,7 @@ from ..interpreters import ad\nfrom ..interpreters import batching\nfrom ..interpreters import parallel\nfrom ..util import curry, memoize, safe_zip, unzip2, prod\n-from ..tree_util impo... | Python | Apache License 2.0 | google/jax | map stop_gradient over data structure. otherwise it is silently a no-op |
260,547 | 23.06.2019 16:26:51 | -3,600 | 2bde78a808eb6b2ca14c6abd6e8de010fe892a15 | Add sigmoid into stax | [
{
"change_type": "MODIFY",
"old_path": "jax/experimental/stax.py",
"new_path": "jax/experimental/stax.py",
"diff": "@@ -41,6 +41,7 @@ import jax.numpy as np\ndef relu(x): return np.maximum(x, 0.)\ndef softplus(x): return np.logaddexp(x, 0.)\n+def sigmoid(x): return 1. / (1. + np.exp(-x))\ndef logsof... | Python | Apache License 2.0 | google/jax | Add sigmoid into stax |
260,335 | 23.06.2019 15:31:13 | 25,200 | fe7329e8087c23e87d741ed112f410837358bcf8 | iniital soft_pmap implementation | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -597,6 +597,10 @@ def pmap(fun, axis_name=None):\nf_pmapped.__name__ = namestr(f_pmapped.__name__, axis_name)\nreturn f_pmapped\n+class _TempAxisName(object):\n+ def __repr__(self):\n+ return '<temp axis {}>'.... | Python | Apache License 2.0 | google/jax | iniital soft_pmap implementation |
260,335 | 23.06.2019 16:41:59 | 25,200 | e36613da908cca4b5689c4f089d4fd21ed4ffdae | add basic soft_pmap tests | [
{
"change_type": "MODIFY",
"old_path": "tests/pmap_test.py",
"new_path": "tests/pmap_test.py",
"diff": "@@ -27,7 +27,8 @@ import jax.numpy as np\nfrom jax import test_util as jtu\nfrom jax import core\nfrom jax import lax\n-from jax.api import pmap, jit, vmap, jvp, grad, make_jaxpr, linearize, devic... | Python | Apache License 2.0 | google/jax | add basic soft_pmap tests |
260,335 | 24.06.2019 08:17:15 | 25,200 | 80f6eee865ce190422cfd2ae683e87eeda269799 | added broken test for broadcasting papply | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/parallel.py",
"new_path": "jax/interpreters/parallel.py",
"diff": "@@ -170,6 +170,7 @@ def broadcasting_papply(prim, name, size, vals, axes, **params):\nx, y = vals\nxdim, ydim = axes\n+ # TODO vectors! these asserts are wrong\nif xdim is None... | Python | Apache License 2.0 | google/jax | added broken test for broadcasting papply |
260,335 | 24.06.2019 11:10:45 | 25,200 | 40bbf068d8c1e0e5d8360ba191a81187aaf3b1a6 | fix broadcasting papply rule, move to lax_parallel | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/parallel.py",
"new_path": "jax/interpreters/parallel.py",
"diff": "@@ -138,72 +138,3 @@ class PapplyTrace(Trace):\nname = tuple(t.name for t in tracers)\nsize = tuple(t.axis_size for t in tracers)\nreturn PapplyTracer(self, name, size, vals, a... | Python | Apache License 2.0 | google/jax | fix broadcasting papply rule, move to lax_parallel |
260,335 | 24.06.2019 11:18:56 | 25,200 | c118b5cf136736a17de3114242266097ec3f7afc | associate papply rules with more primitives | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_parallel.py",
"new_path": "jax/lax/lax_parallel.py",
"diff": "@@ -338,14 +338,47 @@ def _defidentity(prim, argnum=0):\nparallel.papply_primitive_rules[prim] = partial(_identity_papply, prim, argnum)\n+_defvectorized(lax.neg_p)\n+_defvectorized(lax.... | Python | Apache License 2.0 | google/jax | associate papply rules with more primitives |
260,335 | 24.06.2019 11:48:33 | 25,200 | 9783fad6aa676cd32e037fc29bb986a045cdb5d1 | more fixes to broadcasting papply rule, tests | [
{
"change_type": "MODIFY",
"old_path": "jax/lax/lax_parallel.py",
"new_path": "jax/lax/lax_parallel.py",
"diff": "@@ -269,6 +269,13 @@ pxla.split_axis_rules[all_to_all_p] = _all_to_all_split_axis_rule\ndef _drop(x, dim, axis_name):\nreturn lax.dynamic_index_in_dim(x, axis_index(axis_name), dim, Fals... | Python | Apache License 2.0 | google/jax | more fixes to broadcasting papply rule, tests |
260,335 | 24.06.2019 14:53:24 | 25,200 | cf29492335d48f068dca313af61e06d6a2bcaea3 | soft_pmap device persistence via lazy reshape | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -64,7 +64,7 @@ def shard_arg(device_ordinals, axis_size, arg):\nnrep = len(device_ordinals)\nassignments = assign_shards_to_replicas(nrep, axis_size)\nif (type(arg) in (ShardedDevic... | Python | Apache License 2.0 | google/jax | soft_pmap device persistence via lazy reshape |
260,335 | 24.06.2019 17:24:09 | 25,200 | 73c0458ddaf8b1162a07cbee93414a8f92407026 | remove unneeded code, fix bug | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/ad.py",
"new_path": "jax/interpreters/ad.py",
"diff": "@@ -256,8 +256,8 @@ class JVPTrace(Trace):\nprimals = [t.primal for t in tracers]\ntangents = [t.tangent for t in tracers]\nnonzero_tangents, in_tree_def = tree_to_jaxtuples(tangents)\n- f... | Python | Apache License 2.0 | google/jax | remove unneeded code, fix bug |
260,335 | 24.06.2019 19:45:18 | 25,200 | a663486148e24f8152e98dce740df98248063fdc | fixes from rebase onto master | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/parallel.py",
"new_path": "jax/interpreters/parallel.py",
"diff": "@@ -138,3 +138,6 @@ class PapplyTrace(Trace):\nname = tuple(t.name for t in tracers)\nsize = tuple(t.axis_size for t in tracers)\nreturn PapplyTracer(self, name, size, vals, ax... | Python | Apache License 2.0 | google/jax | fixes from rebase onto master |
260,335 | 25.06.2019 06:37:40 | 25,200 | ae550c102bf915992941989c4237dd9aae08f29c | roll back soft_pmap device persistence (bc broken) | [
{
"change_type": "MODIFY",
"old_path": "jax/interpreters/pxla.py",
"new_path": "jax/interpreters/pxla.py",
"diff": "@@ -515,40 +515,17 @@ class ShardedDeviceArray(xla.DeviceArray):\nrepresent distinct logical shards. The correspondence can be computed with\nthe assign_shards_to_replicas function.\n\... | Python | Apache License 2.0 | google/jax | roll back soft_pmap device persistence (bc broken) |
260,299 | 26.06.2019 14:21:03 | -3,600 | 9ad18a8a54f05a46a110ea025947e2dbb9a2fad2 | Add failing custom_transforms closure test | [
{
"change_type": "MODIFY",
"old_path": "tests/api_test.py",
"new_path": "tests/api_test.py",
"diff": "@@ -614,6 +614,17 @@ class APITest(jtu.JaxTestCase):\nexpected = {'hi': 2 * onp.arange(3), 'bye': 2 * onp.ones((3, 2))}\nself.assertAllClose(ans, expected, check_dtypes=False)\n+ def test_custom_tra... | Python | Apache License 2.0 | google/jax | Add failing custom_transforms closure test |
260,299 | 26.06.2019 16:22:21 | -3,600 | 3cdcd9ce930e7f6ead20125820a8fb9db7ce800b | Draft fix for custom_transform of closure | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -983,12 +983,20 @@ class CustomTransformsFunction(object):\nreturn '<jax.custom_transforms function {fun}>'.format(fun=self.__name__)\ndef __call__(self, *args, **kwargs):\n+ def pv_like(x):\n+ aval = x.aval i... | Python | Apache License 2.0 | google/jax | Draft fix for custom_transform of closure |
260,299 | 26.06.2019 16:49:04 | -3,600 | 3d1ba30f2e8b2d444fcbae83c7f5bf57456bd7cb | A few custom_transforms fix-ups | [
{
"change_type": "MODIFY",
"old_path": "jax/api.py",
"new_path": "jax/api.py",
"diff": "@@ -986,16 +986,14 @@ class CustomTransformsFunction(object):\ndef pv_like(x):\naval = x.aval if hasattr(x, 'aval') else xla.abstractify(x)\nreturn pe.PartialVal((aval, core.unit))\n- wrapped = lu.wrap_init(self.... | Python | Apache License 2.0 | google/jax | A few custom_transforms fix-ups |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.