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-rw-r--r--var/spack/repos/builtin/packages/py-tensorflow/package.py50
1 files changed, 25 insertions, 25 deletions
diff --git a/var/spack/repos/builtin/packages/py-tensorflow/package.py b/var/spack/repos/builtin/packages/py-tensorflow/package.py
index 8fd5390ed2..916108e7be 100644
--- a/var/spack/repos/builtin/packages/py-tensorflow/package.py
+++ b/var/spack/repos/builtin/packages/py-tensorflow/package.py
@@ -111,9 +111,9 @@ class PyTensorflow(Package, CudaPackage):
# Need to investigate further.
# See _TF_MIN_BAZEL_VERSION and _TF_MAX_BAZEL_VERSION in configure.py
- depends_on('bazel@3.1.0:3.99.0', type='build', when='@2.3:')
- depends_on('bazel@2.0.0', type='build', when='@2.2.0:2.2.999')
- depends_on('bazel@0.27.1:0.29.1', type='build', when='@2.1.0:2.1.999')
+ depends_on('bazel@3.1.0:3', type='build', when='@2.3:')
+ depends_on('bazel@2.0.0', type='build', when='@2.2.0:2.2')
+ depends_on('bazel@0.27.1:0.29.1', type='build', when='@2.1.0:2.1')
depends_on('bazel@0.24.1:0.26.1', type='build', when='@1.15:2.0')
# See call to check_bazel_version in configure.py
depends_on('bazel@0.24.1:0.25.2', type='build', when='@1.14.0')
@@ -138,10 +138,10 @@ class PyTensorflow(Package, CudaPackage):
depends_on('py-future', type='build', when='^python@:2')
# Listed under REQUIRED_PACKAGES in tensorflow/tools/pip_package/setup.py
- depends_on('py-absl-py@0.10:0.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-absl-py@0.10:0', type=('build', 'run'), when='@2.4.0:')
depends_on('py-absl-py@0.7.0:', type=('build', 'run'), when='@1.12.1,1.14:2.3')
depends_on('py-absl-py@0.1.6:', type=('build', 'run'), when='@1.5:1.11')
- depends_on('py-astunparse@1.6.3:1.6.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-astunparse@1.6.3:1.6', type=('build', 'run'), when='@2.4.0:')
depends_on('py-astunparse@1.6.3', type=('build', 'run'), when='@2.2:2.3')
depends_on('py-astor@0.6.0:', type=('build', 'run'), when='@1.6:2.1')
depends_on('py-backports-weakref@1.0:', type=('build', 'run'), when='@1.3: ^python@:3.3')
@@ -151,35 +151,35 @@ class PyTensorflow(Package, CudaPackage):
depends_on('py-gast@0.3.3', type=('build', 'run'), when='@2.2:')
depends_on('py-gast@0.2.2', type=('build', 'run'), when='@1.15:2.1')
depends_on('py-gast@0.2.0:', type=('build', 'run'), when='@1.6:1.14')
- depends_on('py-google-pasta@0.2:0.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-google-pasta@0.2:0', type=('build', 'run'), when='@2.4.0:')
depends_on('py-google-pasta@0.1.8:', type=('build', 'run'), when='@2.1:2.3')
depends_on('py-google-pasta@0.1.6:', type=('build', 'run'), when='@1.14:2.0')
depends_on('py-google-pasta@0.1.2:', type=('build', 'run'), when='@1.12.1')
# propagate the mpi variant setting for h5py/hdf5 to avoid unexpected crashes
- depends_on('py-h5py@2.10.0:2.10.999+mpi', type=('build', 'run'), when='@2.2:+mpi')
- depends_on('py-h5py@2.10.0:2.10.999~mpi', type=('build', 'run'), when='@2.2:~mpi')
+ depends_on('py-h5py@2.10.0:2.10+mpi', type=('build', 'run'), when='@2.2:+mpi')
+ depends_on('py-h5py@2.10.0:2.10~mpi', type=('build', 'run'), when='@2.2:~mpi')
depends_on('hdf5+mpi', type='build', when='@2.2:+mpi')
depends_on('hdf5~mpi', type='build', when='@2.2:~mpi')
depends_on('py-keras-applications@1.0.8:', type=('build', 'run'), when='@1.15:2.1')
depends_on('py-keras-applications@1.0.6:', type=('build', 'run'), when='@1.12:1.14')
- depends_on('py-keras-applications@1.0.5:', type=('build', 'run'), when='@1.11.0:1.11.999')
- depends_on('py-keras-preprocessing@1.1.2:1.1.999', type=('build', 'run'), when='@2.4:')
- depends_on('py-keras-preprocessing@1.1.1:1.999', type=('build', 'run'), when='@2.3:2.3.999')
+ depends_on('py-keras-applications@1.0.5:', type=('build', 'run'), when='@1.11.0:1.11')
+ depends_on('py-keras-preprocessing@1.1.2:1.1', type=('build', 'run'), when='@2.4:')
+ depends_on('py-keras-preprocessing@1.1.1:1', type=('build', 'run'), when='@2.3.0:2.3')
depends_on('py-keras-preprocessing@1.1.0:', type=('build', 'run'), when='@2.1:2.2')
depends_on('py-keras-preprocessing@1.0.5:', type=('build', 'run'), when='@1.12:2.0')
- depends_on('py-keras-preprocessing@1.0.3:', type=('build', 'run'), when='@1.11:1.11.999')
+ depends_on('py-keras-preprocessing@1.0.3:', type=('build', 'run'), when='@1.11.0:1.11')
# https://github.com/tensorflow/tensorflow/issues/40688
- depends_on('py-numpy@1.19.2:1.19.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-numpy@1.19.2:1.19', type=('build', 'run'), when='@2.4.0:')
depends_on('py-numpy@1.16.0:1.18', type=('build', 'run'), when='@1.13.2,1.15:2.3')
depends_on('py-numpy@1.14.5:1.18', type=('build', 'run'), when='@1.12.1,1.14.0')
depends_on('py-numpy@1.13.3:1.14.5', type=('build', 'run'), when='@1.10.0:1.10.1')
depends_on('py-numpy@1.13.3:', type=('build', 'run'), when='@1.6:1.9')
depends_on('py-numpy@1.12.1:', type=('build', 'run'), when='@1.4:1.5')
depends_on('py-numpy@1.11.0:', type=('build', 'run'), when='@0.11:1.3')
- depends_on('py-numpy@1.10.1:', type=('build', 'run'), when='@0.7.1:0.7.999 platform=darwin')
+ depends_on('py-numpy@1.10.1:', type=('build', 'run'), when='@0.7.1:0.7 platform=darwin')
depends_on('py-numpy@1.8.2:', type=('build', 'run'), when='@0.6:0.10')
depends_on('py-numpy@1.9.2:', type=('build', 'run'), when='@0.5.0')
- depends_on('py-opt-einsum@3.3.0:3.3.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-opt-einsum@3.3.0:3.3', type=('build', 'run'), when='@2.4.0:')
depends_on('py-opt-einsum@2.3.2:', type=('build', 'run'), when='@1.15:2.3')
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')
@@ -194,29 +194,29 @@ class PyTensorflow(Package, CudaPackage):
depends_on('py-protobuf@3.0.0b2', type=('build', 'run'), when='@0.7.1:0.10')
depends_on('py-protobuf@3.0.0a3', type=('build', 'run'), when='@0.6:0.7.0')
depends_on('protobuf')
- depends_on('flatbuffers+python@1.12.0:1.12.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('flatbuffers+python@1.12.0:1.12', type=('build', 'run'), when='@2.4.0:')
# tensorboard
# tensorflow-estimator
- depends_on('py-termcolor@1.1.0:1.1.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-termcolor@1.1.0:1.1', type=('build', 'run'), when='@2.4.0:')
depends_on('py-termcolor@1.1.0:', type=('build', 'run'), when='@1.6:2.3')
- depends_on('py-wrapt@1.12.1:1.12.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-wrapt@1.12.1:1.12', type=('build', 'run'), when='@2.4.0:')
depends_on('py-wrapt@1.11.1:', type=('build', 'run'), when='@1.12.1,1.14:2.3')
depends_on('py-wheel', type=('build', 'run'), when='@0.6:2.3')
depends_on('py-wheel@0.26:', type=('build', 'run'), when='@0.6:2.3 ^python@3:')
- depends_on('py-wheel@0.35:0.999', type=('build', 'run'), when='@2.4.0: ^python@3:')
+ depends_on('py-wheel@0.35:0', type=('build', 'run'), when='@2.4.0: ^python@3:')
depends_on('py-mock@2.0.0:', type=('build', 'run'), when='@0.10: ^python@:2')
depends_on('py-functools32@3.2.3:', type=('build', 'run'), when='@1.15: ^python@:2')
- depends_on('py-six@1.15.0:1.15.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-six@1.15.0:1.15', type=('build', 'run'), when='@2.4.0:')
depends_on('py-six@1.12.0:', type=('build', 'run'), when='@2.1:2.3')
depends_on('py-six@1.10.0:', type=('build', 'run'), when='@:2.0')
depends_on('py-scipy@1.2.2', type=('build', 'run'), when='@2.1.0:2.1.1,2.2.0,2.3.0 ^python@:2')
depends_on('py-scipy@1.4.1', type=('build', 'run'), when='@2.1.0:2.1.1,2.2.0,2.3.0 ^python@3:')
depends_on('py-grpcio@1.8.6:', type=('build', 'run'), when='@1.6:1.7')
- depends_on('py-typing-extensions@3.7.4:3.7.999', type=('build', 'run'), when='@2.4.0:')
+ depends_on('py-typing-extensions@3.7.4:3.7', type=('build', 'run'), when='@2.4.0:')
if sys.byteorder == 'little':
# Only builds correctly on little-endian machines
depends_on('py-grpcio@1.8.6:', type=('build', 'run'), when='@1.8:2.3')
- depends_on('py-grpcio@1.32.0:1.32.999', type=('build', 'run'), when='@2.4:')
+ depends_on('py-grpcio@1.32.0:1.32', type=('build', 'run'), when='@2.4:')
# TODO: add packages for some of these dependencies
depends_on('mkl', when='+mkl')
@@ -287,10 +287,10 @@ class PyTensorflow(Package, CudaPackage):
# "Remove contrib cloud bigtable and storage ops/kernels."
# Allows 2.0.* releases to build with '--config=nogcp'
patch('0001-Remove-contrib-cloud-bigtable-and-storage-ops-kernel.patch',
- when='@2.0.0:2.0.999')
+ when='@2.0.0:2.0')
# for fcc
- patch('1-1_fcc_tf_patch.patch', when='@2.1.0:2.1.99%fj')
+ patch('1-1_fcc_tf_patch.patch', when='@2.1.0:2.1%fj')
# do not import contrib.cloud if not available
patch('https://github.com/tensorflow/tensorflow/commit/ed62ac8203999513dfae03498e871ea35eb60cc4.patch',
@@ -672,7 +672,7 @@ def protobuf_deps():
'.tf_configure.bazelrc')
# see tensorflow issue #31187 on github
- if spec.satisfies('@2.0.0:2.0.999'):
+ if spec.satisfies('@2.0.0:2.0'):
filter_file(r'\#define RUY_DONOTUSEDIRECTLY_AVX512 1',
'#define RUY_DONOTUSEDIRECTLY_AVX512 0',
'tensorflow/lite/experimental/ruy/platform.h')
generated by cgit v1.2.3-60-g2f50 (git 2.42.0) at 2024-07-07 13:12:15 +0000