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ci/official/utilities/setup_docker.sh
fi fi # Keep the existing "tf" container if it's already present. # The container is not cleaned up automatically! Remove it with: # docker rm tf if ! docker container inspect tf >/dev/null 2>&1 ; then # Pass all existing TFCI_ variables into the Docker container env_file=$(mktemp) env | grep ^TFCI_ > "$env_file" docker run $TFCI_DOCKER_ARGS --name tf -w "$TFCI_GIT_DIR" -itd --rm \
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 26 15:27:59 GMT 2024 - 1.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
} class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); status_ = StatusFromTF_Status(status.get()); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); { AbstractContext* ctx_raw = nullptr; status_ =
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_test.cc
namespace { class UnifiedAPI : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); Status s = StatusFromTF_Status(status.get()); CHECK_EQ(errors::OK, s.code()) << s.message(); } public:
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
ci/official/envs/linux_arm64
# despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1 TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-arm64" TFCI_OUTPUT_DIR=build_output TFCI_WHL_AUDIT_ENABLE=1
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tensorflow/BUILD
"check_deps", "if_google", "if_oss", "if_xla_available", "tf_cc_shared_object", "tf_custom_op_library_additional_deps_impl", "tf_monitoring_python_deps", "tf_native_cc_binary", "tsl_async_value_deps", ) load( "//tensorflow:tensorflow.default.bzl", "ADDITIONAL_API_INDEXABLE_SETTINGS", "tf_cc_shared_library", ) load( "@local_xla//xla/tsl/mkl:build_defs.bzl",
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ci/official/utilities/rename_and_verify_wheels.sh
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)' "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)' fi # VERY basic check to ensure the [and-cuda] package variant is installable.
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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/core:test_main", ], ) tf_cc_test( name = "parallel_device_test", srcs = ["parallel_device_test.cc"], deps = [ ":parallel_device", ":parallel_device_testlib", "//tensorflow/c:c_api", "//tensorflow/c:c_api_experimental", "//tensorflow/c:tf_status_internal", "//tensorflow/c/eager:c_api",
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ci/official/wheel_test/WORKSPACE
python_repository(name = "python_version_repo") load("@python_version_repo//:py_version.bzl", "TF_PYTHON_VERSION") # Register multi toolchains load("@rules_python//python:repositories.bzl", "python_register_toolchains") # buildifier: disable=same-origin-load python_register_toolchains( name = "python", ignore_root_user_error = True, python_version = TF_PYTHON_VERSION, ) load("@python//:defs.bzl", "interpreter")
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false
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tensorflow/c/experimental/filesystem/plugins/windows/BUILD
# Experimental windows filesystem plugin. load("//tensorflow:tensorflow.bzl", "get_win_copts", "tf_cc_shared_object") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # Filesystem implementation for Windows environment tf_cc_shared_object( name = "windows_filesystem.dll", framework_so = [],
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