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@ngam ngam commented May 13, 2022

fixes #234

fixes #223
fixes #230

Checklist

  • Used a personal fork of the feedstock to propose changes
  • Bumped the build number (if the version is unchanged)
  • Reset the build number to 0 (if the version changed)
  • Re-rendered with the latest conda-smithy (Use the phrase @conda-forge-admin, please rerender in a comment in this PR for automated rerendering)
  • Ensured the license file is being packaged.

ngam and others added 30 commits February 6, 2022 14:15
@ngam ngam changed the title [placeholder for 2.8.1] add tf-io, cpu_count, and xla [do not merge, experimental conda-smithy] [placeholder for 2.8.1] add tf-io, cpu_count, and xla May 13, 2022
@ngam ngam changed the title [placeholder for 2.8.1] add tf-io, cpu_count, and xla [placeholder for 2.8.1] v2.8.1 + add tf-io, cpu_count, and xla May 13, 2022
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ngam commented May 13, 2022

XLA deets: it does add a nontrivial compilation time, but not significant

INFO: Analyzed 3 targets (444 packages loaded, 31990 targets configured).
INFO: Found 3 targets...
[0 / 81] [Prepa] Creating source manifest for //tensorflow/lite/toco/python:toco_from_protos ... (8 actions, 0 running)
[5,701 / 23,079] Compiling absl/strings/internal/str_format/arg.cc; 1s local ... (128 actions, 65 running)
[6,123 / 23,079] Compiling third_party/icu/data/conversion_data.c; 4s local ... (128 actions, 65 running)
[6,453 / 23,079] Compiling third_party/icu/data/conversion_data.c; 10s local ... (128 actions, 65 running)
[6,584 / 23,079] Compiling third_party/icu/data/conversion_data.c; 16s local ... (128 actions, 65 running)
[6,709 / 23,079] Compiling src/cpu/simple_resampling.cpp; 7s local ... (128 actions, 65 running)
[6,929 / 23,079] Compiling src/cpu/rnn/ref_rnn.cpp; 15s local ... (128 actions, 65 running)
[7,495 / 23,079] Compiling src/cpu/rnn/ref_rnn.cpp; 25s local ... (128 actions, 65 running)
[8,451 / 23,079] Compiling src/cpu/rnn/ref_rnn.cpp; 36s local ... (128 actions, 65 running)
[9,279 / 23,079] Compiling tensorflow/lite/kernels/fully_connected.cc; 17s local ... (128 actions, 65 running)
[10,259 / 23,802] Compiling tensorflow/compiler/xla/service/cpu/runtime_single_threaded_matmul.cc; 11s local ... (128 actions, 65 running)
[10,604 / 23,802] Compiling tensorflow/compiler/xla/service/cpu/runtime_matmul.cc; 27s local ... (128 actions, 65 running)
[10,866 / 23,802] Compiling tensorflow/compiler/xla/service/cpu/runtime_matmul.cc; 46s local ... (128 actions, 65 running)
[11,202 / 23,802] Compiling tensorflow/compiler/xla/service/cpu/runtime_matmul.cc; 68s local ... (128 actions, 65 running)
[12,000 / 23,802] Compiling tensorflow/compiler/xla/service/cpu/runtime_matmul.cc; 94s local ... (127 actions, 64 running)
[12,484 / 23,802] Compiling llvm/lib/Transforms/Scalar/LowerMatrixIntrinsics.cpp; 6s local ... (128 actions, 65 running)
[12,974 / 23,802] Compiling llvm/lib/Passes/PassBuilder.cpp; 33s local ... (128 actions, 65 running)
[13,991 / 23,802] Compiling llvm/lib/Target/X86/X86ISelLowering.cpp; 45s local ... (128 actions, 65 running)
[15,694 / 23,802] Compiling mlir/lib/Dialect/LLVMIR/IR/LLVMDialect.cpp; 25s local ... (128 actions, 65 running)
[16,536 / 23,802] Compiling tensorflow/compiler/mlir/hlo/lib/Dialect/mhlo/IR/hlo_ops.cc; 34s local ... (128 actions, 65 running)
[17,406 / 23,802] Compiling tensorflow/lite/toco/tflite/operator.cc; 12s local ... (128 actions, 65 running)
[18,257 / 23,802] Compiling tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc; 74s local ... (128 actions, 65 running)
[19,031 / 23,802] Compiling tensorflow/core/kernels/sparse_concat_op_gpu.cu.cc; 131s local ... (128 actions, 65 running)
[20,300 / 23,802] Compiling tensorflow/core/kernels/sparse_fill_empty_rows_op_gpu.cu.cc; 219s local ... (128 actions, 65 running)
[20,376 / 23,802] Compiling tensorflow/core/kernels/training_ops_gpu.cu.cc; 313s local ... (128 actions, 64 running)
[20,688 / 23,802] Compiling tensorflow/core/kernels/segment_reduction_ops_gpu_2.cu.cc; 251s local ... (128 actions, 64 running)
[20,912 / 23,802] Compiling tensorflow/core/kernels/segment_reduction_ops_gpu_2.cu.cc; 388s local ... (128 actions, 64 running)
[21,415 / 23,802] Compiling tensorflow/core/kernels/segment_reduction_ops_gpu_2.cu.cc; 545s local ... (128 actions, 64 running)
[23,727 / 23,802] Compiling tensorflow/core/kernels/segment_reduction_ops_gpu_1.cu.cc; 726s local ... (9 actions running)
[23,739 / 23,802] Compiling tensorflow/core/kernels/pad_op_gpu.cu.cc; 613s local ... (2 actions running)
[23,801 / 23,802] PackageTar tensorflow/tools/lib_package/libtensorflow.tar.gz; 48s local
INFO: Elapsed time: 1854.352s, Critical Path: 913.04s
INFO: 23802 processes: 5925 internal, 17877 local.
INFO: Build completed successfully, 23802 total actions

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

I wanted to let you know that I linted all conda-recipes in your PR (recipe) and found some lint.

Here's what I've got...

For recipe:

  • The outputs section contained an unexpected subsection name. run_constrained is not a valid subsection name.

For recipe:

  • It looks like the 'tensorflow-base' output doesn't have any tests.

@conda-forge-linter
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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.

I do have some suggestions for making it better though...

For recipe:

  • It looks like the 'tensorflow-base' output doesn't have any tests.

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ngam commented May 14, 2022

@conda-forge-admin, please rerender

@ngam ngam changed the title [placeholder for 2.8.1] v2.8.1 + add tf-io, cpu_count, and xla [placeholder for 2.8.1] v2.8.1 + add cpu_count, xla May 14, 2022
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ngam commented May 14, 2022

@conda-forge-admin, please rerender

@ngam ngam mentioned this pull request May 16, 2022
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@ngam ngam changed the title [placeholder for 2.8.1] v2.8.1 + add cpu_count, xla v2.8.1 + add cpu_count, xla May 17, 2022
@conda-forge-linter
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Hi! This is the friendly automated conda-forge-linting service.

I wanted to let you know that I linted all conda-recipes in your PR (recipe) and found some lint.

Here's what I've got...

For recipe:

  • Failed to even lint the recipe, probably because of a conda-smithy bug 😢. This likely indicates a problem in your meta.yaml, though. To get a traceback to help figure out what's going on, install conda-smithy and run conda smithy recipe-lint . from the recipe directory.

@conda-forge-linter
Copy link

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.

I do have some suggestions for making it better though...

For recipe:

  • It looks like the 'tensorflow-base' output doesn't have any tests.

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