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CONTRIBUTING.md
to the core. * As every PR requires several CPU/GPU hours of CI testing, we discourage submitting PRs to fix one typo, one warning,etc. We recommend fixing the same issue at the file level at least (e.g.: fix all typos in a file, fix all compiler warnings in a file, etc.) * Tests should follow the [testing best practices](https://www.tensorflow.org/community/contribute/tests) guide. #### License
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tensorflow/c/eager/c_api_experimental.h
// TODO(b/166642410): It would be nice, for custom devices and for other users, // to have a non-string representation of devices (TF_Device) extracted from // tensors/ops/etc. and usable in APIs like OpSetDevice/ResetOp/etc. #define TFE_CUSTOM_DEVICE_VERSION 4 // Struct to be filled in. Functions are required except where indicated. typedef struct TFE_CustomDevice { int version = TFE_CUSTOM_DEVICE_VERSION;
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tensorflow/c/experimental/filesystem/plugins/posix/BUILD
default_visibility = ["//visibility:private"], licenses = ["notice"], ) # Filesystem implementation for POSIX environments: Linux, MacOS, Android, etc. tf_cc_shared_object( name = "libposix_filesystem.so", framework_so = [], linkstatic = False, visibility = ["//visibility:public"], deps = [":posix_filesystem_impl"], )
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ci/official/utilities/code_check_full.bats
} # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then # gathers the list of all packages (i.e. directories) which contain those # targets. license_query() { bazel cquery --experimental_cc_shared_library "$1" --keep_going \ | grep -e "^//" -e "^@" \
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tensorflow/BUILD
# visibility = ["//visibility:public"], # ) # copybara:uncomment_end # 'enable_registration_v2' opts-in to a different implementation of op and # kernel registration - REGISTER_OP, REGISTER_KERNEL_BUILDER, etc. # # This setting is currently experimental. The 'v2' implementation does _not_ # correspond to a particular, finalized design; rather, it relates to # developing one. #
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RELEASE.md
constructor arguments. In the future, the symbols `tf.keras.optimizers.Optimizer`/`Adam`/etc will point to the new optimizers, and the previous generation of optimizers will be moved to `tf.keras.optimizers.legacy.Optimizer`/`Adam`/etc. * Added L2 unit normalization layer `tf.keras.layers.UnitNormalization`.
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tensorflow/c/eager/tape.h
// Operations the tape needs to perform on tensors to do backpropagation. Named // "vspace" because a subset of these are related to a vector space, such as // adding gradients, getting zeroes, etc. Currently cannot be implemented // without using tensorflow python code, hence left unspecified here. // // Gradient is the type returned by gradient functions. In Python TF it's either
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.bazelrc
build:rbe_cross_compile_base_xla --strategy=Genrule=standalone # Due to the above strategy, all Genrule commands are executed locally, but the # following actions invoke tools (E.g `flatc`, `llvm-tblgen`, etc.) that are # only executabe on the RBE (x86) machine, so the strategy_regexp options are # added to override and run the actions using remote strategy.
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