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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# the dependencies of that target which include a license notice file are then # included when generating that license. Necessary because the license targets # in TensorFlow are manually enumerated rather than generated automatically. do_external_licenses_check(){ BUILD_TARGET="$1" LICENSES_TARGET="$2" # grep patterns for targets which are allowed to be missing from the licenses
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tensorflow/c/eager/c_api_experimental.h
#include "tensorflow/c/eager/c_api.h" #ifdef __cplusplus extern "C" { #endif // Resets `op_to_reset` with `op_or_function_name` and `raw_device_name`. This // is for performance optimization by reusing an exiting unused op rather than // creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# directly under the root to the "maven-style" src/main/java layout # # Source files generated by annotation processors appear directly # under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. # # Bazel manages annotation generated source as follows: First, it # calls javac with options that create generated files under a
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 2.6K bytes - Viewed (0) -
RELEASE.md
* Add a `tf.distribute.cluster_resolver.TPUClusterResolver.connect` API to simplify TPU initialization. * Add `tf.distribute.Strategy.gather` and `tf.distribute.ReplicaContext.all_gather` methods to gather and concatenate `tf.distribute.DistributedValues` across workers and devices. ### `tf.keras`: * Introduces experimental preprocessing layers API
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tensorflow/BUILD
# 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. # # The current aim of the 'v2' implementation is to allow 'unused' ops and # kernels to be discarded by the linker (to the benefit of binary size). bool_flag(
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ci/official/utilities/repack_libtensorflow.sh
# directly under the root to the "maven-style" src/main/java layout # # Source files generated by annotation processors appear directly # under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. # # Bazel manages annotation generated source as follows: First, it # calls javac with options that create generated files under a
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tensorflow/c/c_api_experimental.h
TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size); // Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant // folding. This is for testing to ensure that XLA is being tested rather than // Tensorflow's CPU implementation through constant folding. TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled(); TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled( unsigned char should_enable);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
ci/official/utilities/code_check_full.bats
# the dependencies of that target which include a license notice file are then # included when generating that license. Necessary because the license targets # in TensorFlow are manually enumerated rather than generated automatically. do_external_licenses_check(){ BUILD_TARGET="$1" LICENSES_TARGET="$2" # grep patterns for targets which are allowed to be missing from the licenses
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tensorflow/c/eager/tape.h
// Ownership of `aid` transferred to CallBackwardFunction below. Gradient* aid; if (output_tensor.GetDType() == tensorflow::DT_VARIANT) { // Note: Needs to be zeros rather than ones since there's currently no // ones_like for variants. aid = output_tensor.ZerosLike(); } else { // TODO(allenl): Figure out why using zeros_like everywhere causes issues
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
// blocking collective operations at a time), and avoids some dynamic // allocation/scheduling. // // TODO(allenl): Keep a map from outer thread to list of inner threads rather // than a single list of threads so aliased nested parallel devices don't // re-use a thread. std::vector<std::unique_ptr<DeviceThread>> device_threads_;
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