From fb49c2c2f138157cee426974991ede2b7e03cec3 Mon Sep 17 00:00:00 2001
From: "renovate[bot]" <29139614+renovate[bot]@users.noreply.github.com>
Date: Fri, 23 Jun 2023 01:24:57 +0000
Subject: [PATCH] Update dependency jax to v0.4.13

---
 cloud/batch_cdk/image/poetry.lock    | 28 ++++++++++++++++------------
 cloud/batch_cdk/image/pyproject.toml |  2 +-
 2 files changed, 17 insertions(+), 13 deletions(-)

diff --git a/cloud/batch_cdk/image/poetry.lock b/cloud/batch_cdk/image/poetry.lock
index b104689a..c360e8c3 100644
--- a/cloud/batch_cdk/image/poetry.lock
+++ b/cloud/batch_cdk/image/poetry.lock
@@ -1697,29 +1697,33 @@ testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-chec
 
 [[package]]
 name = "jax"
-version = "0.4.6"
+version = "0.4.13"
 description = "Differentiate, compile, and transform Numpy code."
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jax-0.4.6.tar.gz", hash = "sha256:d06ea8fba4ed315ec55110396058cb48c8edb2ab0b412f28c8a123beee9e58ab"},
+    {file = "jax-0.4.13.tar.gz", hash = "sha256:03bfe6749dfe647f16f15f6616638adae6c4a7ca7167c75c21961ecfd3a3baaa"},
 ]
 
 [package.dependencies]
-numpy = ">=1.20"
+ml_dtypes = ">=0.1.0"
+numpy = ">=1.21"
 opt_einsum = "*"
-scipy = ">=1.5"
+scipy = ">=1.7"
 
 [package.extras]
 australis = ["protobuf (>=3.13,<4)"]
-ci = ["jaxlib (==0.4.4)"]
-cpu = ["jaxlib (==0.4.6)"]
-cuda = ["jaxlib (==0.4.6+cuda11.cudnn86)"]
-cuda11-cudnn82 = ["jaxlib (==0.4.6+cuda11.cudnn82)"]
-cuda11-cudnn86 = ["jaxlib (==0.4.6+cuda11.cudnn86)"]
-minimum-jaxlib = ["jaxlib (==0.4.4)"]
-tpu = ["jaxlib (==0.4.6)", "libtpu-nightly (==0.1.dev20230309)", "requests"]
+ci = ["jaxlib (==0.4.12)"]
+cpu = ["jaxlib (==0.4.13)"]
+cuda = ["jaxlib (==0.4.13+cuda11.cudnn86)"]
+cuda11-cudnn86 = ["jaxlib (==0.4.13+cuda11.cudnn86)"]
+cuda11-local = ["jaxlib (==0.4.13+cuda11.cudnn86)"]
+cuda11-pip = ["jaxlib (==0.4.13+cuda11.cudnn86)", "nvidia-cublas-cu11 (>=11.11)", "nvidia-cuda-cupti-cu11 (>=11.8)", "nvidia-cuda-nvcc-cu11 (>=11.8)", "nvidia-cuda-runtime-cu11 (>=11.8)", "nvidia-cudnn-cu11 (>=8.8)", "nvidia-cufft-cu11 (>=10.9)", "nvidia-cusolver-cu11 (>=11.4)", "nvidia-cusparse-cu11 (>=11.7)"]
+cuda12-local = ["jaxlib (==0.4.13+cuda12.cudnn89)"]
+cuda12-pip = ["jaxlib (==0.4.13+cuda12.cudnn89)", "nvidia-cublas-cu12", "nvidia-cuda-cupti-cu12", "nvidia-cuda-nvcc-cu12", "nvidia-cuda-runtime-cu12", "nvidia-cudnn-cu12 (>=8.9)", "nvidia-cufft-cu12", "nvidia-cusolver-cu12", "nvidia-cusparse-cu12"]
+minimum-jaxlib = ["jaxlib (==0.4.11)"]
+tpu = ["jaxlib (==0.4.13)", "libtpu-nightly (==0.1.dev20230622)"]
 
 [[package]]
 name = "jaxlib"
@@ -4783,4 +4787,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.10"
-content-hash = "7f388bc931242642f55b1a7eda098ef741565b9b7df83b39c916ef9f04edc897"
+content-hash = "fb6fe57abfba58c692429bb29c54f366e7ac8411c21e1f37371ecc4f3dd53dce"
diff --git a/cloud/batch_cdk/image/pyproject.toml b/cloud/batch_cdk/image/pyproject.toml
index ba859125..f1e51542 100644
--- a/cloud/batch_cdk/image/pyproject.toml
+++ b/cloud/batch_cdk/image/pyproject.toml
@@ -14,7 +14,7 @@ scipy = "^1.9.3"
 sympy = "^1.11.1"
 matplotlib = "^3.6.2"
 pandas = "^1.5.1"
-jax = "0.4.6"
+jax = "0.4.13"
 numpyro = "^0.10.1"
 jaxlib = [
     {version = "0.3.22", platform = "darwin", source="pypi"},