tensorflow v2.14.0 #347

regro-cf-autotick-bot · 2023-10-23T13:45:42Z

It is very likely that the current package version for this feedstock is out of date.

Checklist before merging this PR:

Dependencies have been updated if changed: see upstream
Tests have passed
Updated license if changed and license_file is packaged

Information about this PR:

Feel free to push to the bot's branch to update this PR if needed.
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Pending Dependency Version Updates

Here is a list of all the pending dependency version updates for this repo. Please double check all dependencies before merging.

Name	Upstream Version	Current Version
icu	2023-10-04
libjpeg-turbo	9e
tensorflow	2.14.0

Dependency Analysis

We couldn't run dependency analysis due to an internal error in the bot, depfinder, or grayskull. :/ Help is very welcome!

_{This PR was created by the regro-cf-autotick-bot. The regro-cf-autotick-bot is a service to automatically track the dependency graph, migrate packages, and propose package version updates for conda-forge. Feel free to drop us a line if there are any issues! This PR was generated by https://github.com/regro/cf-scripts/actions/runs/6613951688, please use this URL for debugging.}

…nda-forge-pinning 2023.10.23.08.51.53

conda-forge-webservices · 2023-10-23T13:45:49Z

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

xhochy · 2023-10-27T15:16:58Z

Needs conda-forge/keras-feedstock#68

jan-janssen · 2023-10-31T09:48:47Z

@xhochy As conda-forge/keras-feedstock#68 is merged now - is there anything missing for this PR to be merged?

jan-janssen · 2023-10-31T09:49:43Z

@conda-forge-admin, please restart ci

xhochy · 2023-10-31T17:46:50Z

@conda-forge-admin, please restart ci

Please don't do this on the repo. CI is disabled anyways.

xhochy · 2023-10-31T17:47:37Z

@xhochy As conda-forge/keras-feedstock#68 is merged now - is there anything missing for this PR to be merged?

Yes, a successful build. I have a set of five patches locally that I need to push but they are not exhaustive to get it even passing without CUDA.

…nda-forge-pinning 2023.11.08.21.35.56

xhochy · 2023-11-09T13:05:28Z

CPU builds are passing, CUDA still has issues which could also relate to my available RAM.

hmaarrfk · 2023-11-09T13:16:39Z

Ok i'll try one, i have a 128GB machine availble.

xhochy · 2023-11-09T13:23:22Z

@hmaarrfk I can also do it. My machine is a cloud instance and I can just switch it to a larger one.

xhochy · 2023-11-09T15:31:34Z

The CUDA 11.8 build passed. I will retry the 11.2 with more RAM. In general, this PR is ready for review. I will build out all variants over the weekend.

hmaarrfk · 2023-11-09T16:22:27Z

is Python 3.12 compatibility a thing?

ngam

Thanks!

ngam · 2023-11-09T17:08:04Z

recipe/cp_libtensorflow_cc.sh

@@ -1 +1,3 @@
 tar -C ${PREFIX} -xf $SRC_DIR/libtensorflow_cc_output.tar
+mkdir -p ${PREFIX}/include/tensorflow/tsl/platform/include
+cp float8.h ${PREFIX}/include/tensorflow/tsl/platform/include


Is there a way to avoid this workaround? Non-blocker, but kind of surprising...

Its somewhat strange because ml_dtypes is a python package. we could repackage ml_dtypes as a library.

This is in general a very strange interaction as Tensorflow also builds "a" ml_dtypes as a library internally again. I would rather move forward with this hack and hope that in 2.15 things are cleared up a bit more instead of trying to split the ml_dtypes package into pieces.

do they vendor the library? it seems scary to pin so hard on ml_dtypes 0.2.0

hmaarrfk · 2023-11-09T17:50:20Z

recipe/meta.yaml

        - six >=1.12
        - termcolor >=1.1.0
-        - typing_extensions >=3.6.6,<4.6.0
-        - wrapt >=1.11.0
+        - typing_extensions >=3.6.6


xhochy · 2023-11-09T18:55:33Z

is Python 3.12 compatibility a thing?

Not yet.

…nda-forge-pinning 2023.11.09.13.45.39

xhochy · 2023-11-09T19:04:40Z

is Python 3.12 compatibility a thing?

Not yet.

It seems like we need to wait for 2.16. 3.12 support is not included in the 2.15 release candidate.

njzjz · 2023-11-09T22:06:10Z

is Python 3.12 compatibility a thing?

In addition, https://conda-forge.org/status/ reports a conflict with protobuf, which might need to be resolved.

linux_64_c_compiler_version10cuda_compilernvcccuda_compiler_version11.2cxx_compiler_version10numpy1.26python3.12.____cpython: Could not solve for environment specs
The following packages are incompatible
├─ libprotobuf-python-headers is installable with the potential options
│  ├─ libprotobuf-python-headers 3.21.12 would require
│  │  └─ libprotobuf 21.12 , which can be installed;
│  ├─ libprotobuf-python-headers 3.21.12 would require
│  │  └─ libprotobuf 3.21.12 , which can be installed;
│  ├─ libprotobuf-python-headers 4.23.3 would require
│  │  └─ libprotobuf 4.23.3 , which can be installed;
│  ├─ libprotobuf-python-headers 4.23.4 would require
│  │  └─ libprotobuf 23.4 , which can be installed;
│  ├─ libprotobuf-python-headers 4.23.4 would require
│  │  └─ libprotobuf 4.23.4 , which can be installed;
│  ├─ libprotobuf-python-headers 4.24.3 would require
│  │  └─ libprotobuf 4.24.3 , which can be installed;
│  └─ libprotobuf-python-headers 4.24.4 would require
│     └─ libprotobuf 4.24.4 , which can be installed;
├─ libprotobuf 3.21.*  is not installable because it conflicts with any installable versions previously reported;
├─ python 3.12.* *_cpython is installable with the potential options
│  ├─ python 3.12.0 would require
│  │  └─ python_abi 3.12.* *_cp312, which can be installed;
│  └─ python 3.12.0rc3 would require
│     └─ _python_rc, which does not exist (perhaps a missing channel);
└─ tensorboard >=2.13,<2.14  is not installable because it requires
   └─ protobuf >=3.19.6  but there are no viable options
      ├─ protobuf [3.19.6|3.20.0|...|4.24.4] would require
      │  └─ python_abi 3.10.* *_cp310, which conflicts with any installable versions previously reported;
      ├─ protobuf 3.20.0 would require
      │  └─ python_abi 3.7 *_pypy37_pp73, which conflicts with any installable versions previously reported;
      ├─ protobuf [3.20.0|3.20.1|...|4.21.8] would require
      │  └─ python_abi 3.7.* *_cp37m, which conflicts with any installable versions previously reported;
      ├─ protobuf [3.20.0|3.20.1|...|4.21.9] would require
      │  └─ python_abi 3.8 *_pypy38_pp73, which conflicts with any installable versions previously reported;
      ├─ protobuf [3.19.6|3.20.0|...|4.24.4] would require
      │  └─ python_abi 3.8.* *_cp38, which conflicts with any installable versions previously reported;
      ├─ protobuf [3.20.0|3.20.1|...|4.21.9] would require
      │  └─ python_abi 3.9 *_pypy39_pp73, which conflicts with any installable versions previously reported;
      ├─ protobuf [3.19.6|3.20.0|...|4.24.4] would require
      │  └─ python_abi 3.9.* *_cp39, which conflicts with any installable versions previously reported;
      ├─ protobuf [3.20.2|3.20.3|...|4.24.4] would require
      │  └─ python_abi 3.11.* *_cp311, which conflicts with any installable versions previously reported;
      ├─ protobuf [3.20.3|4.22.5|...|4.23.4] would require
      │  └─ pypy3.8 >=7.3.11 , which conflicts with any installable versions previously reported;
      ├─ protobuf [3.20.3|4.22.5|...|4.23.4] would require
      │  └─ pypy3.9 >=7.3.11 , which conflicts with any installable versions previously reported;
      ├─ protobuf 4.23.4 would require
      │  └─ libprotobuf >=4.23.4,<4.23.5.0a0 , which conflicts with any installable versions previously reported;
      ├─ protobuf [4.23.4|4.24.3|4.24.4] would require
      │  └─ pypy3.9 >=7.3.13 , which conflicts with any installable versions previously reported;
      ├─ protobuf 4.24.3 would require
      │  └─ libprotobuf >=4.24.3,<4.24.4.0a0 , which conflicts with any installable versions previously reported;
      └─ protobuf 4.24.4 would require
         └─ libprotobuf >=4.24.4,<4.24.5.0a0 , which conflicts with any installable versions previously reported.

xhochy · 2023-11-10T06:53:17Z

Compilation breaks for CUDA 11.2 with

`_ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIfE3RunERKN5Eigen16ThreadPoolDeviceERKNS1_6TensorESB_bbbbPS9_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplISF_EEEEvSE
_llllEUlvE_E9_M_invokeERKSt9_Any_data' referenced in section `.data.rel.ro.local' of bazel-out/k8-opt/bin/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o): defined in discarded section `.
text._ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIfE3RunERKN5Eigen16ThreadPoolDeviceERKNS1_6TensorESB_bbbbPS9_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplISF_EEE
EvSE_llllEUlvE_E9_M_invokeERKSt9_Any_data[_ZN10tensorflow17LaunchBatchMatMulIN5Eigen16ThreadPoolDeviceEfE6LaunchEPNS_15OpKernelContextERKNS_6TensorES8_bbbbRKNS_11MatMulBCastEPS6_]' of bazel-out/k8-opt/bin
/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o)
`_ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIN5Eigen8bfloat16EE3RunERKNS4_16ThreadPoolDeviceERKNS1_6TensorESC_bbbbPSA_ENKUlRT_llllE1_clIKNS2_15YCombinatorIm
plISG_EEEEvSF_llllEUlvE_E9_M_invokeERKSt9_Any_data' referenced in section `.data.rel.ro.local' of bazel-out/k8-opt/bin/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o): defined in discard
ed section `.text._ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIN5Eigen8bfloat16EE3RunERKNS4_16ThreadPoolDeviceERKNS1_6TensorESC_bbbbPSA_ENKUlRT_llllE1_clIKNS
2_15YCombinatorImplISG_EEEEvSF_llllEUlvE_E9_M_invokeERKSt9_Any_data[_ZN10tensorflow17LaunchBatchMatMulIN5Eigen16ThreadPoolDeviceENS1_8bfloat16EE6LaunchEPNS_15OpKernelContextERKNS_6TensorES9_bbbbRKNS_11Mat
MulBCastEPS7_]' of bazel-out/k8-opt/bin/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o)
`_ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIiE3RunERKN5Eigen16ThreadPoolDeviceERKNS1_6TensorESB_bbbbPS9_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplISF_EEEEvSE
_llllEUlvE_E9_M_invokeERKSt9_Any_data' referenced in section `.data.rel.ro.local' of bazel-out/k8-opt/bin/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o): defined in discarded section `.
text._ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIiE3RunERKN5Eigen16ThreadPoolDeviceERKNS1_6TensorESB_bbbbPS9_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplISF_EEE
EvSE_llllEUlvE_E9_M_invokeERKSt9_Any_data[_ZN10tensorflow17LaunchBatchMatMulIN5Eigen16ThreadPoolDeviceEiE6LaunchEPNS_15OpKernelContextERKNS_6TensorES8_bbbbRKNS_11MatMulBCastEPS6_]' of bazel-out/k8-opt/bin
/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o)
`_ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIlE3RunERKN5Eigen16ThreadPoolDeviceERKNS1_6TensorESB_bbbbPS9_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplISF_EEEEvSE
_llllEUlvE_E9_M_invokeERKSt9_Any_data' referenced in section `.data.rel.ro.local' of bazel-out/k8-opt/bin/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o): defined in discarded section `.
text._ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIlE3RunERKN5Eigen16ThreadPoolDeviceERKNS1_6TensorESB_bbbbPS9_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplISF_EEE
EvSE_llllEUlvE_E9_M_invokeERKSt9_Any_data[_ZN10tensorflow17LaunchBatchMatMulIN5Eigen16ThreadPoolDeviceElE6LaunchEPNS_15OpKernelContextERKNS_6TensorES8_bbbbRKNS_11MatMulBCastEPS6_]' of bazel-out/k8-opt/bin
/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o)
`_ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIdE3RunERKN5Eigen16ThreadPoolDeviceERKNS1_6TensorESB_bbbbPS9_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplISF_EEEEvSE
_llllEUlvE_E9_M_invokeERKSt9_Any_data' referenced in section `.data.rel.ro.local' of bazel-out/k8-opt/bin/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o): defined in discarded section `.
text._ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIdE3RunERKN5Eigen16ThreadPoolDeviceERKNS1_6TensorESB_bbbbPS9_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplISF_EEE
EvSE_llllEUlvE_E9_M_invokeERKSt9_Any_data[_ZN10tensorflow17LaunchBatchMatMulIN5Eigen16ThreadPoolDeviceEdE6LaunchEPNS_15OpKernelContextERKNS_6TensorES8_bbbbRKNS_11MatMulBCastEPS6_]' of bazel-out/k8-opt/bin
/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o)
`_ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIN5Eigen4halfEE3RunERKNS4_16ThreadPoolDeviceERKNS1_6TensorESC_bbbbPSA_ENKUlRT_llllE1_clIKNS2_15YCombinatorImplIS
G_EEEEvSF_llllEUlvE_E9_M_invokeERKSt9_Any_data' referenced in section `.data.rel.ro.local' of bazel-out/k8-opt/bin/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o): defined in discarded s
ection `.text._ZNSt17_Function_handlerIFvvEZZN10tensorflow12_GLOBAL__N_131SingleBatchParallelMatMulKernelIN5Eigen4halfEE3RunERKNS4_16ThreadPoolDeviceERKNS1_6TensorESC_bbbbPSA_ENKUlRT_llllE1_clIKNS2_15YCom
binatorImplISG_EEEEvSF_llllEUlvE_E9_M_invokeERKSt9_Any_data[_ZN10tensorflow17LaunchBatchMatMulIN5Eigen16ThreadPoolDeviceENS1_4halfEE6LaunchEPNS_15OpKernelContextERKNS_6TensorES9_bbbbRKNS_11MatMulBCastEPS7
_]' of bazel-out/k8-opt/bin/tensorflow/core/kernels/libmatmul_op.pic.lo(matmul_op_real.pic.o)
collect2: error: ld returned 1 exit status

As we are dropping CUDA 11.2 with a lot of other packages, I will do the same here.

…nda-forge-pinning 2023.11.09.20.47.34

jakirkham · 2023-11-10T08:47:32Z

Makes sense 11.8 supports the same hardware

hmaarrfk · 2023-11-10T15:13:14Z

In addition, https://conda-forge.org/status/ reports a conflict with protobuf, which might need to be resolved.

I feel like updating tensorflow, and updating protobuf with tensorflow can be considered two different steps. I don't think we should necessarily hold up this progress.

It isn't ideal, but we need to continue to ask upstream to make it easier to plug in "system" dependencies.

xhochy · 2023-11-13T16:06:56Z

Logs:

Builds are on my uwe.korn-tf-gpu and uwe.korn-tf-experimental channels.

hmaarrfk · 2023-11-14T01:21:57Z

export PACKAGE_VERSION=2.14.0
export DELEGATES_CHANNEL=uwe.korn-tf-gpu
export DELEGATES_LABEL=main
for package in tensorflow-base tensorflow tensorflow-estimator libtensorflow libtensorflow_cc tensorflow-cpu tensorflow-gpu; do
  anaconda copy --from-label ${DELEGATES_LABEL} --to-label main --to-owner conda-forge ${DELEGATES_CHANNEL}/${package}/${PACKAGE_VERSION}
done

export PACKAGE_VERSION=2.14.0
export DELEGATES_CHANNEL=uwe.korn-tf-experimental
export DELEGATES_LABEL=main
for package in tensorflow-base tensorflow tensorflow-estimator libtensorflow libtensorflow_cc tensorflow-cpu tensorflow-gpu; do
  anaconda copy --from-label ${DELEGATES_LABEL} --to-label main --to-owner conda-forge ${DELEGATES_CHANNEL}/${package}/${PACKAGE_VERSION} || true
done

hmaarrfk · 2023-11-14T01:22:06Z

amazing work!

regro-cf-autotick-bot added 2 commits October 23, 2023 13:44

updated v2.14.0

d3dbaa2

MNT: Re-rendered with conda-build 3.27.0, conda-smithy 3.27.1, and co…

bb848ca

…nda-forge-pinning 2023.10.23.08.51.53

regro-cf-autotick-bot requested review from FarhanTejani, ghego, h-vetinari, hajapy, hmaarrfk, jschueller, ngam, njzjz, waitingkuo, wolfv and xhochy as code owners October 23, 2023 13:45

h-vetinari marked this pull request as draft October 24, 2023 00:24

xhochy added 2 commits October 25, 2023 17:37

tensorflow 2.14.0

429c9ee

more patching

53c8374

jan-janssen mentioned this pull request Oct 31, 2023

add environment for cmti@mpie pyiron/docker-stacks#137

Merged

conda-forge-webservices bot closed this Oct 31, 2023

conda-forge-webservices bot reopened this Oct 31, 2023

conda-forge-webservices bot closed this Oct 31, 2023

conda-forge-webservices bot reopened this Oct 31, 2023

Apply a lot of patching

e25c344

xhochy force-pushed the 2.14.0_hfb8c13 branch from 4437b6d to e25c344 Compare November 8, 2023 20:54

Update dependencies

89200c8

xhochy marked this pull request as ready for review November 9, 2023 09:42

MNT: Re-rendered with conda-build 3.27.0, conda-smithy 3.28.0, and co…

f30c89c

…nda-forge-pinning 2023.11.08.21.35.56

ngam approved these changes Nov 9, 2023

View reviewed changes

hmaarrfk reviewed Nov 9, 2023

View reviewed changes

xhochy added 2 commits November 9, 2023 19:01

Require Python 3.9+

3bdc15f

MNT: Re-rendered with conda-build 3.27.0, conda-smithy 3.28.0, and co…

70ef9e3

…nda-forge-pinning 2023.11.09.13.45.39

xhochy added 2 commits November 10, 2023 06:54

Skip CUDA 11.2

819672b

MNT: Re-rendered with conda-build 3.27.0, conda-smithy 3.28.0, and co…

612faa2

…nda-forge-pinning 2023.11.09.20.47.34

This was referenced Nov 11, 2023

Build for new archs conda-forge/libmagma-feedstock#8

Merged

Rebuild for CUDA 11.8 w/arch support conda-forge/hdk-feedstock#50

Draft

weiji14 mentioned this pull request Nov 13, 2023

Flax needs to be upgraded in the tensorflow/jax image pangeo-data/pangeo-docker-images#489

Closed

hmaarrfk merged commit f0f57d5 into conda-forge:main Nov 14, 2023

regro-cf-autotick-bot deleted the 2.14.0_hfb8c13 branch November 14, 2023 01:28

h-vetinari mentioned this pull request Nov 28, 2023

tensorflow 2.15.0 #353

Merged

h-vetinari mentioned this pull request Dec 21, 2023

2.15.0 for libgrpc159_libprotobuf4244 #361

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5 tasks

hmaarrfk mentioned this pull request Dec 22, 2023

A few notes from the latest tensorflow builds 2.15 #363

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tensorflow v2.14.0 #347

tensorflow v2.14.0 #347

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tensorflow v2.14.0 #347

tensorflow v2.14.0 #347

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regro-cf-autotick-bot commented Oct 23, 2023

Pending Dependency Version Updates

Dependency Analysis

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