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py-tensorflow: add v2.10.0 (#32544)

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Adam J. Stewart 2022-09-12 04:17:47 -05:00 committed by GitHub
parent 9c1e916c1c
commit 3d904d8e65
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3 changed files with 30 additions and 16 deletions
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15
var/spack/repos/builtin/packages/py-keras/package.py
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@ -21,6 +21,7 @@ class PyKeras(PythonPackage):
git = "https://github.com/keras-team/keras.git"
url = "https://github.com/keras-team/keras/archive/refs/tags/v2.7.0.tar.gz"
version("2.10.0", sha256="b1d8d9358700f4a585455854a142d88cc987419c1638ef935b440842d593ad04")
version("2.9.0", sha256="90226eaa0337573304f3e5ab44d4d9e3a65fe002776c5cbd0f65b738152c1084")
version("2.8.0", sha256="5e777b0101d8385d3a90fc9056f1b2f6313f2c830d2e8181828b300c9229ec0c")
version("2.7.0", sha256="7502746467ab15184e2e267f13fbb2c3f33ba24f8e02a097d229ba376dabaa04")
@ -89,9 +90,17 @@ class PyKeras(PythonPackage):
depends_on("py-scipy@0.14:", type=("build", "run"), when="@2.0.8:")
depends_on("py-scipy", type=("build", "run"))
depends_on("py-six", type=("build", "run"))
for ver in ["2.9", "2.8", "2.7", "2.6", "2.5"]:
depends_on("py-tensorflow@" + ver, type=("build", "run"), when="@" + ver)
depends_on("py-tensorboard@" + ver, type=("build", "run"), when="@" + ver)
for minor_ver in range(5, 11):
depends_on(
"py-tensorflow@2.{}".format(minor_ver),
type=("build", "run"),
when="@2.{}".format(minor_ver),
)
depends_on(
"py-tensorboard@2.{}".format(minor_ver),
type=("build", "run"),
when="@2.{}".format(minor_ver),
)
depends_on("py-theano", type=("build", "run"), when="@:2.0.7")
# Required dependencies not listed anywhere?

5
var/spack/repos/builtin/packages/py-tensorboard/package.py
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@ -17,6 +17,11 @@ class PyTensorboard(PythonPackage):
maintainers = ["aweits"]
version(
"2.10.0",
sha256="76c91a5e8959cd2208cc32cb17a0cb002badabb66a06ac2af02a7810f49a59e3",
expand=False,
)
version(
"2.9.1",
sha256="baa727f791776f9e5841d347127720ceed4bbd59c36b40604b95fb2ae6029276",

26
var/spack/repos/builtin/packages/py-tensorflow/package.py
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@ -30,6 +30,7 @@ class PyTensorflow(Package, CudaPackage, ROCmPackage):
maintainers = ["adamjstewart", "aweits"]
import_modules = ["tensorflow"]
version("2.10.0", sha256="b5a1bb04c84b6fe1538377e5a1f649bb5d5f0b2e3625a3c526ff3a8af88633e8")
version("2.9.2", sha256="8cd7ed82b096dc349764c3369331751e870d39c86e73bbb5374e1664a59dcdf7")
version("2.9.1", sha256="6eaf86ead73e23988fe192da1db68f4d3828bcdd0f3a9dc195935e339c95dbdc")
version("2.9.0", sha256="8087cb0c529f04a4bfe480e49925cd64a904ad16d8ec66b98e2aacdfd53c80ff")
@ -155,13 +156,10 @@ class PyTensorflow(Package, CudaPackage, ROCmPackage):
# https://github.com/tensorflow/tensorflow/issues/33374
depends_on("python@:3.7", type=("build", "run"), when="@:2.1")
# TODO: Older versions of TensorFlow don't list the viable version range,
# just the minimum version of bazel that will work. The latest version of
# bazel doesn't seem to work, so for now we force them to use min version.
# Need to investigate further.
# See .bazelversion
depends_on("bazel@5.1.1", type="build", when="@2.10:")
# See _TF_MIN_BAZEL_VERSION and _TF_MAX_BAZEL_VERSION in configure.py
depends_on("bazel@4.2.2:5.99.0", type="build", when="@2.9:")
depends_on("bazel@4.2.2:5.99.0", type="build", when="@2.9")
depends_on("bazel@4.2.1:4.99.0", type="build", when="@2.8")
depends_on("bazel@3.7.2:4.99.0", type="build", when="@2.7")
depends_on("bazel@3.7.2:3.99.0", type="build", when="@2.5:2.6")
@ -201,7 +199,8 @@ class PyTensorflow(Package, CudaPackage, ROCmPackage):
depends_on("py-astunparse@1.6:", type=("build", "run"), when="@2.7:")
depends_on("py-astunparse@1.6.3:1.6", type=("build", "run"), when="@2.4:2.6")
depends_on("py-astunparse@1.6.3", type=("build", "run"), when="@2.2:2.3")
depends_on("py-flatbuffers@1.12:1", type=("build", "run"), when="@2.9:")
depends_on("py-flatbuffers@2:", type=("build", "run"), when="@2.10:")
depends_on("py-flatbuffers@1.12:1", type=("build", "run"), when="@2.9")
depends_on("py-flatbuffers@1.12:", type=("build", "run"), when="@2.8")
depends_on("py-flatbuffers@1.12:2", type=("build", "run"), when="@2.7")
depends_on("py-flatbuffers@1.12", type=("build", "run"), when="@2.4:2.6")
@ -249,8 +248,8 @@ class PyTensorflow(Package, CudaPackage, ROCmPackage):
depends_on("py-numpy@1.11.0:1.14.5", type=("build", "run"), when="@0.11:1.3")
depends_on("py-numpy@1.10.1:1.14.5", type=("build", "run"), when="@0.7.1:0.10 platform=darwin")
depends_on("py-numpy@1.8.2:1.14.5", type=("build", "run"), when="@0.5:0.10")
depends_on("py-opt-einsum@3.3", type=("build", "run"), when="@2.4:2.6")
depends_on("py-opt-einsum@2.3.2:", type=("build", "run"), when="@1.15:2.3,2.7:")
depends_on("py-opt-einsum@3.3", type=("build", "run"), when="@2.4:2.6")
depends_on("py-packaging", type=("build", "run"), when="@2.9:")
depends_on("py-protobuf@3.9.2:", type=("build", "run"), when="@2.3:")
depends_on("py-protobuf@3.8.0:", type=("build", "run"), when="@2.1:2.2")
@ -310,11 +309,12 @@ class PyTensorflow(Package, CudaPackage, ROCmPackage):
depends_on("py-grpcio@1.32", type=("build", "run"), when="@2.4")
depends_on("py-grpcio@1.8.6:", type=("build", "run"), when="@1.6:2.3")
depends_on("py-tensorboard@2.9", type=("build", "run"), when="@2.9")
depends_on("py-tensorboard@2.8", type=("build", "run"), when="@2.8")
depends_on("py-tensorboard@2.7", type=("build", "run"), when="@2.7")
depends_on("py-tensorboard@2.6", type=("build", "run"), when="@2.6")
depends_on("py-tensorboard@2.5", type=("build", "run"), when="@2.5")
for minor_ver in range(5, 11):
depends_on(
"py-tensorboard@2.{}".format(minor_ver),
type=("build", "run"),
when="@2.{}".format(minor_ver),
)
# TODO: is this still true? We now install tensorboard from wheel for all versions
# depends_on('py-tensorboard', when='@:2.4') # circular dep
# depends_on('py-tensorflow-estimator') # circular dep