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ci/official/envs/rbe
# Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since
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tensorflow/c/experimental/grappler/grappler.h
// set, proper uses configuration set by user. typedef struct TP_OptimizerConfigs { size_t struct_size; void* ext; // reserved for future use TF_TriState disable_model_pruning; TF_TriState implementation_selector; TF_TriState function_optimization; TF_TriState common_subgraph_elimination; TF_TriState arithmetic_optimization; TF_TriState debug_stripper; TF_TriState constant_folding;
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tensorflow/c/experimental/grappler/grappler.cc
configs.disable_model_pruning = true; else configs.disable_model_pruning = false; // The other configs are turned on by default. CONFIG_TOGGLE(implementation_selector); CONFIG_TOGGLE(function_optimization); CONFIG_TOGGLE(common_subgraph_elimination); CONFIG_TOGGLE(arithmetic_optimization); CONFIG_TOGGLE(debug_stripper); CONFIG_TOGGLE(constant_folding);
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/build_cleaner_spec.textproto
# proto-file: devtools/build_cleaner/proto/actions.proto # proto-message: ActionSpecs # Python rules should not have more than one source file. action_spec { action: CHECK_FILE_COUNT file_count_params { rule_selector { rule_kind_regex: "^.*py(type)?(_strict)?_(binary|library|test).*$" generator_function_regex: "^(?!boq_header)$" } max_source_count: 1 }
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tensorflow/c/BUILD
# Description: # C API for TensorFlow, for use by client language bindings. load("@bazel_skylib//lib:selects.bzl", "selects") load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt") load("@local_tsl//tsl/platform:rules_cc.bzl", "cc_library") load( "//tensorflow:tensorflow.bzl", "check_deps", "if_google", "if_not_mobile", "tf_cc_test", "tf_copts", "tf_cuda_library", "tf_custom_op_library",
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ci/official/README.md
# click to "Invocation Details" and find BUILD_CONFIG, which will contain a # "build_file" item that indicates the script used. ci/official/wheel.sh # Advanced: Select specific build/test targets with "any.sh". # TF_ANY_TARGETS=":your/target" TF_ANY_MODE="test" ci/official/any.sh # Afterwards: Examine the results, which will include: The bazel cache,
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CONTRIBUTING.md
it may slow down the tests for not running in parallel and may cause the test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
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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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tensorflow/c/eager/BUILD
"c_api_experimental.h", "c_api_internal.h", "c_api_unified_experimental.h", ], hdrs = ["c_api.h"], copts = tf_copts(), visibility = ["//visibility:public"], deps = select({ "//tensorflow:android": [ "//tensorflow/core:portable_tensorflow_lib_lite", ], "//conditions:default": [ ":immediate_execution_context",
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RELEASE.md
`tf.train.experimental.enable_mixed_precision_graph_rewrite()`. * Add environment variable `TF_CUDNN_DETERMINISTIC`. Setting to "true" or "1" forces the selection of deterministic cuDNN convolution and max-pooling algorithms. When this is enabled, the algorithm selection procedure itself is also deterministic. ## Breaking Changes * Many backwards incompatible API changes have been made to clean up the APIs
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