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ci/official/envs/linux_arm64
TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-arm64" TFCI_OUTPUT_DIR=build_output TFCI_WHL_AUDIT_ENABLE=1 TFCI_WHL_AUDIT_PLAT=manylinux2014_aarch64 TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=240M
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ci/official/envs/linux_x86
TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-x86_64" TFCI_OUTPUT_DIR=build_output TFCI_WHL_AUDIT_ENABLE=1 TFCI_WHL_AUDIT_PLAT=manylinux2014_x86_64 TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=240M
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ci/official/envs/macos_x86
TFCI_MACOS_INSTALL_BAZELISK_URL="https://github.com/bazelbuild/bazelisk/releases/download/v1.11.0/bazelisk-darwin-amd64" TFCI_MACOS_TWINE_INSTALL_ENABLE=1 TFCI_OUTPUT_DIR=build_output TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=255M TFCI_WHL_SIZE_LIMIT_ENABLE=1 # 3.11 is the system python on our images case $TFCI_PYTHON_VERSION in 3.11) TFCI_MACOS_PYENV_INSTALL_ENABLE=0 TFCI_MACOS_UPGRADE_PYENV_ENABLE=0 ;; *)
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tensorflow/c/eager/c_api.h
TF_Buffer* buf, TF_Status* status); // Some TF ops need a step container to be set to limit the lifetime of some // resources (mostly TensorArray and Stack, used in while loop gradients in // graph mode). Calling this on a context tells it to start a step. TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx);
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ci/official/envs/ci_default
TFCI_PYCPP_SWAP_TO_BUILD_ENABLE= TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS= TFCI_PYTHON_VERSION= TFCI_WHL_AUDIT_ENABLE= TFCI_WHL_AUDIT_PLAT= TFCI_WHL_BAZEL_TEST_ENABLE= TFCI_WHL_IMPORT_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// parallel device. device_(device), executor_( TFE_NewExecutor(is_async, /*enable_streaming_enqueue=*/true, /*in_flight_nodes_limit=*/in_flight_nodes_limit)), op_(nullptr), thread_(tensorflow::Env::Default()->StartThread( tensorflow::ThreadOptions(), "parallel_device_execute", std::bind(&DeviceThread::Run, this))) {}
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tensorflow/c/c_api.cc
TF_DEVICELIST_METHOD(const char*, TF_DeviceListType, device_type().c_str(), nullptr); TF_DEVICELIST_METHOD(int64_t, TF_DeviceListMemoryBytes, memory_limit(), -1); TF_DEVICELIST_METHOD(uint64_t, TF_DeviceListIncarnation, incarnation(), 0); #undef TF_DEVICELIST_METHOD } // end extern "C"
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.cc
==============================================================================*/ #include "tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.h" #include <errno.h> #include <fcntl.h> #include <limits.h> #include <stdint.h> #include <stdlib.h> #include <string.h> #include <unistd.h> #include "tensorflow/c/experimental/filesystem/plugins/posix/copy_file.h" namespace tf_posix_filesystem {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jan 16 05:36:52 GMT 2020 - 2.1K bytes - Viewed (1) -
tensorflow/c/c_test.c
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include <limits.h> #include <memory.h> #include <stdio.h> #include <stdlib.h> #include <time.h> #include <unistd.h> #ifdef _WIN32 #include <process.h> #endif #include "tensorflow/c/c_api.h"
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// Eager async execution is only supported when remote eager is not in use // (b/157523095). explicit ParallelDevice(const std::vector<std::string>& devices, bool is_async = false, int in_flight_nodes_limit = 0); ~ParallelDevice(); // Helper to copy a tensor handle from another device once for each component // of the ParallelDevice. // // Sets a bad status and returns a nullptr if `tensor` is already on the
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