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tensorflow/BUILD
# Description: # TensorFlow is a computational framework, primarily for use in machine # learning applications. load("@bazel_skylib//lib:selects.bzl", "selects") load("@bazel_skylib//rules:common_settings.bzl", "bool_flag", "bool_setting") load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda") load( "//tensorflow:tensorflow.bzl", "VERSION", "VERSION_MAJOR", "check_deps", "if_google", "if_oss",
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RELEASE.md
* `tf.keras.optimizers.Optimizer` now points to the new Keras optimizer, and old optimizers have moved to the `tf.keras.optimizers.legacy` namespace. If you find your workflow failing due to this change, you may be facing one of the following issues: * **Checkpoint loading failure.** The new optimizer handles optimizer state differently from the old optimizer, which simplies the logic of
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.bazelrc
build:rbe_cross_compile_base --remote_instance_name=projects/tensorflow-testing/instances/default_instance # XLA depends on some local Python headers that are configured as Genrule. They # are present on the local host machine but not on the remote execution machine, # leading to build failures. To resolve the issue, the following line is added # to make sure all Genrule targets are excuted locally. build:rbe_cross_compile_base_xla --config=rbe_cross_compile_base
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configure.py
def is_linux(): return platform.system() == 'Linux' def is_macos(): return platform.system() == 'Darwin' def is_ppc64le(): return platform.machine() == 'ppc64le' def is_s390x(): return platform.machine() == 's390x' def is_cygwin(): return platform.system().startswith('CYGWIN_NT') def get_input(question): try: try: answer = raw_input(question)
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1)