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.github/ISSUE_TEMPLATE/tflite-other.md
issue in TensorFlow Lite that is not about Converters, Play Services or Ops body: - type: dropdown id: issue-type attributes: label: Issue Type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type:
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ci/official/README.md
# and will also try using public build cache results to speed up # your builds. This usually saves a lot of time, especially when # re-running tests. However, note that: # # - New environments like new CUDA versions, changes to manylinux, # compilers, etc. can cause undefined behavior such as build failures # or tests passing incorrectly. # - Automatic LLVM updates are known to extend build time even with
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
to a banned CUDA dependency when '--define framework_shared_object=false' is set. This means that a CUDA target was probably included via an is_static condition, used when targeting platforms like Windows where we build statically instead of dynamically. Here's the output from bazel query: EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] }
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CONTRIBUTING.md
to fix this. - Once the internal tests pass, we go ahead and merge the code internally as well as externally on GitHub. In a graphical form, the entire lifetime of a PR looks like ![image](https://github.com/tensorflow/tensorflow/assets/52792999/3eea4ca5-daa0-4570-b0b5-2a2b03a724a3) ### Contributor License Agreements
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ci/official/utilities/code_check_full.bats
to a banned CUDA dependency when '--define framework_shared_object=false' is set. This means that a CUDA target was probably included via an is_static condition, used when targeting platforms like Windows where we build statically instead of dynamically. Here's the output from bazel query: EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] }
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RELEASE.md
* `tf.experimental.dtensor` * API changes for Relayout. Added a new API, `dtensor.relayout_like`, for relayouting a tensor according to the layout of another tensor.
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ci/devinfra/docker_windows/Dockerfile
# Workaround for networking (b/112379377) was closed as won't fix for MTU setting. # Remaining lines handle making the metadata server on the VM accessible inside docker. RUN Get-NetAdapter | Where-Object Name -like "*Ethernet*" | ForEach-Object { \ & netsh interface ipv4 set subinterface $_.InterfaceIndex mtu=1460 store=persistent }; \ $gateway = (Get-NetRoute | Where { $_.DestinationPrefix -eq \"0.0.0.0/0\" } | Sort-Object RouteMetric \
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.bazelrc
build:monolithic --define tsl_protobuf_header_only=false build:monolithic --experimental_link_static_libraries_once=false # b/229868128 # Please note that MKL on MacOS is still not supported. # If you would like to use a local MKL instead of downloading, please set the # environment variable "TF_MKL_ROOT" every time before build. build:mkl --define=build_with_mkl=true --define=enable_mkl=true
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CITATION.cff
given-names: Lukasz - family-names: Kudlur given-names: Manjunath - family-names: Levenberg given-names: Josh - family-names: Mané given-names: Dan - family-names: Schuster given-names: Mike - family-names: Monga given-names: Rajat - family-names: Moore given-names: Sherry - family-names: Murray given-names: Derek - family-names: Olah given-names: Chris
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