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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
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CODEOWNERS
# Where component owners are known, add them here. /tensorflow/c/eager @qqfish /tensorflow/core/common_runtime/eager @qqfish /tenosrflow/core/debug @caisq /tensorflow/core/kernels/mkl/ @penpornk /tensorflow/core/kernels/sparse/ @penpornk /tensorflow/core/nccl/ @azaks2 @chsigg /tensorflow/python/autograph/ @mdanatg /tensorflow/python/debug @caisq /tensorflow/python/eager @rohan100jain /tensorflow/tools/docs/ @markdaoust
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RELEASE.md
* `LinearOperator.matmul` now returns a new `LinearOperator`. * New ops and improved op functionality * Add a Nearest Neighbor Resize op. * Add an `ignore_unknown` argument to `parse_values` which suppresses ValueError for unknown hyperparameter types. Such * Add `tf.linalg.matvec` convenience function. * `tf.einsum()`raises `ValueError` for unsupported equations like `"ii->"`.
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ci/official/README.md
# # - 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 # the cache; this is unavoidable. export TFCI=py311,linux_x86,public_cache,disk_cache # Recommended: Configure Docker. (Linux only) #
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SECURITY.md
violates the use cases and security assumptions defined in the threat model. This will help us evaluate your report quickly, especially if the issue is complex. - Whether this vulnerability is public or known to third parties. If it is, please provide details. We will try to fix the problems as soon as possible. Vulnerabilities will, in general, be batched to be fixed at the same time as a quarterly release. We
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for # TensorFlow python tests.
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CITATION.cff
and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment...
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ci/official/utilities/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for # TensorFlow python tests.
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