python312Packages.jax[lib]: 0.5.0 -> 0.5.1 (#384879)
This commit is contained in:
@@ -42,6 +42,9 @@ buildPythonPackage rec {
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# Flaky: AssertionError: 1 not less than 0.7000000000000001
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"test_von_mises_sample_uniform_ks_test"
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# Flaky: AssertionError: Not equal to tolerance
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"test_composite_methods_are_consistent__with_jit"
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# NotImplementedError: Primitive 'square' does not have a registered inverse.
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"test_against_tfp_bijectors_square"
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"test_log_dets_square__with_device"
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@@ -32,6 +32,14 @@ buildPythonPackage rec {
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hash = "sha256-hor2qw+aTL7yhV53E/y5DUwyDEYJA8RPRS39xxa8xcw=";
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};
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# Relax speed constraints on tests that can fail on busy builders
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postPatch = ''
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substituteInPlace tests/test_while_loop.py \
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--replace-fail "speed < 0.1" "speed < 0.5" \
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--replace-fail "speed < 0.5" "speed < 1" \
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--replace-fail "speed < 1" "speed < 4" \
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'';
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build-system = [ hatchling ];
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dependencies = [
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@@ -84,6 +84,12 @@ buildPythonPackage rec {
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tensorflow
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];
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pytestFlagsArray = [
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# DeprecationWarning: linear_util.wrap_init is missing a DebugInfo object.
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"-W"
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"ignore::DeprecationWarning"
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];
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disabledTestPaths = [
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# Docs test, needs extra deps + we're not interested in it.
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"docs/_ext/codediff_test.py"
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@@ -39,7 +39,7 @@ let
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srcs = {
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"x86_64-linux" = fetchurl {
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url = "https://storage.googleapis.com/jax-releases/cuda12_plugin/jax_cuda12_pjrt-${version}-py3-none-manylinux2014_x86_64.whl";
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hash = "sha256-0jgzwbiF2WwnZAAOlQUvK1gnx31JLqaPZ+kDoTJlbbs=";
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hash = "sha256-05Xe87NP1oSOEVlu8pdaiV0fUG31EuQbH8XS3lIMjlE=";
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};
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# "aarch64-linux" = fetchurl {
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# url = "https://storage.googleapis.com/jax-releases/cuda12_plugin/jax_cuda12_pjrt-${version}-py3-none-manylinux2014_aarch64.whl";
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@@ -40,42 +40,42 @@ let
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"3.10-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp310";
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hash = "sha256-D0Q6azcpjt+weW/NvR+GzoWksIS2vT8fUKT7/Wfe2Gs=";
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hash = "sha256-ymCGSgWlzqRK51dthHtHeeTeYYUKmhgjg0H8Q6dY1Vs=";
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};
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"3.10-aarch64-linux" = getSrcFromPypi {
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platform = "manylinux2014_aarch64";
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dist = "cp310";
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hash = "sha256-AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=";
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hash = "sha256-488emSaNinBBPw+sM1krh2nBPckdch+RxYeEa+nYhAM=";
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};
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"3.11-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp311";
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hash = "sha256-qYE1oCIwZLj1xoU+It3BpOOGIVLTf7aF8Nve/+DIASI=";
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hash = "sha256-NGVbjq/H2b/sMbB3rBPULgjY7YZV0kFHxa38AVFSaU8=";
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};
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"3.11-aarch64-linux" = getSrcFromPypi {
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platform = "manylinux2014_aarch64";
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dist = "cp311";
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hash = "sha256-AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=";
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hash = "sha256-ik8Mje8QnXb1uqwbKuRpCURFzS1/vYxZf83WI+sC/1Q=";
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};
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"3.12-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp312";
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hash = "sha256-QwWN/FZdjJ2mn0fNTkuVxJXxaG8onvRYTCtygD5vFgc=";
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hash = "sha256-Fp22Rbr+whOO2YOvjxTk0RqElyivpXIC55qRBNmJLxY=";
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};
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"3.12-aarch64-linux" = getSrcFromPypi {
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platform = "manylinux2014_aarch64";
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dist = "cp312";
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hash = "sha256-AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=";
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hash = "sha256-wqhtVj3AR5rLTHmuz/vuwYn6vY6XAP4/cxvwOV4dbBE=";
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};
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"3.13-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp313";
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hash = "sha256-3zbEsXbi01qCqfOM13zDadJx5gBR43GgqO9FFD+PWLY=";
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hash = "sha256-J0kTjLGHMZBoa7FPMxBIskwXjwXkdIo9L/fSA2c1rT0=";
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};
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"3.13-aarch64-linux" = getSrcFromPypi {
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platform = "manylinux2014_aarch64";
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dist = "cp313";
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hash = "sha256-AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=";
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hash = "sha256-C7aXl3+NbGOS9WLDQF6D68xvXLfCCBQFCE9tXPoJ4yo=";
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};
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};
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in
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@@ -40,7 +40,7 @@ let
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in
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buildPythonPackage rec {
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pname = "jax";
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version = "0.5.0";
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version = "0.5.1";
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pyproject = true;
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src = fetchFromGitHub {
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@@ -48,7 +48,7 @@ buildPythonPackage rec {
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repo = "jax";
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# google/jax contains tags for jax and jaxlib. Only use jax tags!
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tag = "jax-v${version}";
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hash = "sha256-D6n9Z34nrCbBd9IS8YW6uio5Yi9GLCo9PViO3YYbkQ8=";
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hash = "sha256-WXtoLiRGcD8PqCMV+VYGeFr/qFEavuoVM5JSapO1QXc=";
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};
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build-system = [ setuptools ];
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@@ -113,15 +113,6 @@ buildPythonPackage rec {
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[
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# Exceeds tolerance when the machine is busy
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"test_custom_linear_solve_aux"
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# UserWarning: Explicitly requested dtype <class 'numpy.float64'>
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# requested in astype is not available, and will be truncated to
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# dtype float32. (With numpy 1.24)
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"testKde3"
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"testKde5"
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"testKde6"
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# Invokes python manually in a subprocess, which does not have the correct dependencies
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# ImportError: This version of jax requires jaxlib version >= 0.4.19.
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"test_no_log_spam"
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]
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++ lib.optionals usingMKL [
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# See
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@@ -133,19 +124,6 @@ buildPythonPackage rec {
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"testEigvalsGrad_shape"
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]
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++ lib.optionals stdenv.hostPlatform.isAarch64 [
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# See https://github.com/google/jax/issues/14793.
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"test_for_loop_fixpoint_correctly_identifies_loop_varying_residuals_unrolled_for_loop"
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"testQdwhWithRandomMatrix3"
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"testScanGrad_jit_scan"
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# See https://github.com/google/jax/issues/17867.
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"test_array"
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"test_async"
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"test_copy0"
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"test_device_put"
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"test_make_array_from_callback"
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"test_make_array_from_single_device_arrays"
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# Fails on some hardware due to some numerical error
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# See https://github.com/google/jax/issues/18535
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"testQdwhWithOnRankDeficientInput5"
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@@ -163,16 +141,6 @@ buildPythonPackage rec {
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"test_vmap_mismatched_axis_sizes_error_message_issue_705"
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];
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disabledTestPaths =
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[
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# Segmentation fault. See https://gist.github.com/zimbatm/e9b61891f3bcf5e4aaefd13f94344fba
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"tests/linalg_test.py"
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]
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++ lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64) [
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# RuntimeWarning: invalid value encountered in cast
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"tests/lax_test.py"
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];
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pythonImportsCheck = [ "jax" ];
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# Test CUDA-enabled jax and jaxlib. Running CUDA-enabled tests is not
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@@ -18,7 +18,7 @@
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}:
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let
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version = "0.5.0";
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version = "0.5.1";
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inherit (python) pythonVersion;
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# As of 2023-06-06, google/jax upstream is no longer publishing CPU-only wheels to their GCS bucket. Instead the
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@@ -49,65 +49,65 @@ let
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"3.10-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp310";
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hash = "sha256-dEQLYyEHM2QA1Pl6Fkgddn8T6pFMU7oU5UTG/aVIGbM=";
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hash = "sha256-ZbxJAKBJHfxvubamLoEA0SFCnVjHQplF7CtCTBqCvyc=";
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};
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"3.10-aarch64-linux" = getSrcFromPypi {
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platform = "manylinux2014_aarch64";
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dist = "cp310";
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hash = "sha256-Wy7+Pf6/GKhMRR04A6yITuJCAhwRE7J5wT9LvDeMPcA=";
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hash = "sha256-CQ/n1LyOGXaHcdvIMZ3pAkdGu1Z/XZujebUQLxdljEE=";
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};
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"3.10-aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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dist = "cp310";
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hash = "sha256-G4psQ0XxN/OHZQ3i28SIwgJRt0ErVd1kjhpPE7z1B/s=";
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hash = "sha256-LavMsIZHaBj3N80OYi/YjcT1u08N9Melxow0s2bohH8=";
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};
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"3.11-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp311";
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hash = "sha256-CRE+8Vgro018vEQP7bMY9IVbWbd2cRqKuiRzyXJ9MCU=";
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hash = "sha256-gMDtVEZkSzg8qj5hdUCAO7DvNuVgnNd1bU0pE6jeUS4=";
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};
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"3.11-aarch64-linux" = getSrcFromPypi {
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platform = "manylinux2014_aarch64";
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dist = "cp311";
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hash = "sha256-YwiNv6qFu1bNUhqSWjRy/XMosY7JPC2P+oWvMxCVyZU=";
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hash = "sha256-afS54HrQdNRBuZIbeoOu5PT/09VCAz/exQvhRW0GEcY=";
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};
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"3.11-aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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dist = "cp311";
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hash = "sha256-bNdi7RYjEySZ+nAcQgNEYQLgqcgsojGUuHKI90bRKik=";
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hash = "sha256-M0xJrUEfOaUFXCPxOVUq4yvZr+aWq7scrfnETr72B/c=";
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};
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"3.12-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp312";
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hash = "sha256-+YDHM+mMmYqNqHyajMYbZybQvmZ6WL1mTB1xe0tOrnU=";
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hash = "sha256-Uee1n8QLsnBEDFBJs8gvn3/a2uMZnxaBhiDP24C5Z68=";
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};
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"3.12-aarch64-linux" = getSrcFromPypi {
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platform = "manylinux2014_aarch64";
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dist = "cp312";
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hash = "sha256-S0sBr7Dd7JbAg1a/8rtoXdvpf9/+Ttbi2DSzCrqXLyI=";
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hash = "sha256-W0ulqj9ZtfLjfVJc7dav4P7suIQW5fQ+uacJz97YslA=";
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};
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"3.12-aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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dist = "cp312";
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hash = "sha256-c+M1cVdgxW5jUQnWFCZDWl1/RvM2OhFdrqCUJ9XNDv0=";
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hash = "sha256-rj3ii/m4Z4HDCjLIi3y9HTIiqMIpqpbL4hBV3NCeuIk=";
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};
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"3.13-x86_64-linux" = getSrcFromPypi {
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platform = "manylinux2014_x86_64";
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dist = "cp313";
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hash = "sha256-Ee7wHTfA8cUwYmW3byB/EALRNIDe0uMf1j7HaRLJPKI=";
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hash = "sha256-3BCf+mhzZAImw2DaeTqKe+r4xIdRrD/bKfprM3kB4YY=";
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};
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"3.13-aarch64-linux" = getSrcFromPypi {
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platform = "manylinux2014_aarch64";
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dist = "cp313";
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hash = "sha256-fZsXp+oZNV1F7Nsv8NtdcHqG8MWoYtlLibRWjWxFMRo=";
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hash = "sha256-3zcE8TXP+H/Z1BkwJIkl8vFjvu1u/qqrzNl0AVgNz9g=";
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};
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"3.13-aarch64-darwin" = getSrcFromPypi {
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platform = "macosx_11_0_arm64";
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dist = "cp313";
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hash = "sha256-7RjqcWHQOqj9TRtVSUiC8hQg79/qaOXymMSuvPKsPzQ=";
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hash = "sha256-jFf7vnmqPOOsLsZXp/F4Z7mzwsrYhbLIOQVnzJc47ug=";
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};
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};
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in
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@@ -1,7 +1,7 @@
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#! /usr/bin/env nix-shell
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#! nix-shell -i sh -p jq
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prefetch () {
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prefetch() {
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expr="(import <nixpkgs> { system = \"$2\"; config.cudaSupport = true; }).python$1.pkgs.$3.src.url"
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url=$(NIX_PATH=.. nix-instantiate --eval -E "$expr" | jq -r)
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echo "$url"
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@@ -14,7 +14,6 @@ for py in "310" "311" "312" "313"; do
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prefetch "$py" "x86_64-linux" "jaxlib-bin"
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prefetch "$py" "aarch64-linux" "jaxlib-bin"
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prefetch "$py" "aarch64-darwin" "jaxlib-bin"
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prefetch "$py" "x86_64-darwin" "jaxlib-bin"
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prefetch "$py" "x86_64-linux" "jax-cuda12-plugin"
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prefetch "$py" "aarch64-linux" "jax-cuda12-plugin"
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done
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@@ -1,5 +1,6 @@
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{
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lib,
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stdenv,
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buildPythonPackage,
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fetchFromGitHub,
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@@ -75,28 +76,33 @@ buildPythonPackage rec {
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"ignore::UserWarning"
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];
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disabledTests = [
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# AssertionError due to tolerance issues
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"test_bijective_transforms"
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"test_cpu"
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"test_entropy_categorical"
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"test_gaussian_model"
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disabledTests =
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[
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# AssertionError due to tolerance issues
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"test_bijective_transforms"
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"test_cpu"
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"test_entropy_categorical"
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"test_gaussian_model"
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# > with pytest.warns(UserWarning, match="Hessian of log posterior"):
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# E Failed: DID NOT WARN. No warnings of type (<class 'UserWarning'>,) were emitted.
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# E Emitted warnings: [].
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"test_laplace_approximation_warning"
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# > with pytest.warns(UserWarning, match="Hessian of log posterior"):
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# E Failed: DID NOT WARN. No warnings of type (<class 'UserWarning'>,) were emitted.
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# E Emitted warnings: [].
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"test_laplace_approximation_warning"
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# Tests want to download data
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"data_load"
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"test_jsb_chorales"
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# Tests want to download data
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"data_load"
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"test_jsb_chorales"
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# ValueError: compiling computation that requires 2 logical devices, but only 1 XLA devices are available (num_replicas=2)
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"test_chain"
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# ValueError: compiling computation that requires 2 logical devices, but only 1 XLA devices are available (num_replicas=2)
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"test_chain"
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# test_biject_to[CorrMatrix()-(15,)] - assert Array(False, dtype=bool)
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"test_biject_to"
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];
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# test_biject_to[CorrMatrix()-(15,)] - assert Array(False, dtype=bool)
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"test_biject_to"
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]
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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# AssertionError: Not equal to tolerance rtol=0.06, atol=0
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"test_functional_map"
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];
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meta = {
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description = "Library for probabilistic programming with NumPy";
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@@ -114,5 +114,8 @@ buildPythonPackage rec {
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changelog = "https://github.com/jax-ml/oryx/releases/tag/v${version}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ GaetanLepage ];
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# oryx seems to be incompatible with jax 0.5.1
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# 237 additional test failures are resulting from the jax bump.
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broken = true;
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};
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}
|
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Reference in New Issue
Block a user