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SECURITY.md
variables from your model are also going to be untrusted. That means that if your code interacts with the filesystem, network, etc. and uses checkpointed variables as part of those interactions (ex: using a string variable to build a filesystem path), a maliciously created checkpoint might be able to change the targets of those operations, which could result in arbitrary read/write/executions. ### Running a TensorFlow server
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tensorflow/c/eager/c_api_experimental.cc
#include "tensorflow/c/eager/c_api_experimental.h" #include <cstdint> #include <memory> #include <utility> #include <vector> #include "absl/container/flat_hash_map.h" #include "absl/strings/match.h" #include "absl/time/time.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/c_api_internal.h" #include "tensorflow/c/eager/tfe_context_internal.h" #include "tensorflow/c/eager/tfe_op_internal.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/tape.h
bool use_batch) : vspace_(vspace), use_batch_(use_batch) { call_state_.emplace(nullptr, false); } virtual ~ForwardAccumulator() { for (auto accumulated : accumulated_gradients_) { vspace_.DeleteGradient(accumulated.second); } } // Tell the forward accumulator to watch tensor_id, with a Tensor tangent
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configure.py
environ_cp['PYTHON_BIN_PATH'] = '' # Convert python path to Windows style before checking lib and version if is_windows() or is_cygwin(): python_bin_path = cygpath(python_bin_path) # Get PYTHON_LIB_PATH python_lib_path = environ_cp.get('PYTHON_LIB_PATH') if not python_lib_path: python_lib_paths = get_python_path(environ_cp, python_bin_path) if environ_cp.get('USE_DEFAULT_PYTHON_LIB_PATH') == '1':
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.bazelrc
build:cuda_clang_official --action_env=TF_CUDNN_VERSION="8" build:cuda_clang_official --action_env=CUDA_TOOLKIT_PATH="/usr/local/cuda-12.3" build:cuda_clang_official --action_env=GCC_HOST_COMPILER_PATH="/dt9/usr/bin/gcc" build:cuda_clang_official --action_env=CLANG_CUDA_COMPILER_PATH="/usr/lib/llvm-17/bin/clang" build:cuda_clang_official --action_env=LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
TF_SetStatus(status, TF_OK, ""); } static void NewAppendableFile(const TF_Filesystem* filesystem, const char* path, TF_WritableFile* file, TF_Status* status) { FILE* f = fopen(path, "a"); if (f == nullptr) { TF_SetStatusFromIOError(status, errno, path); return; } file->plugin_file = new tf_writable_file::PosixFile({strdup(path), f});
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { Tape tape(/*persistent=*/false); tape.Watch(inputs[0]); // Watch x. AbstractTensorHandle* exp_output; TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp")); std::unique_ptr<GradientFunction> gradient_function( new PassThroughGradientFunction);
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
ci/official/wheel_test/test_import_api_packages.py
def setUp(self): def _get_api_packages_v2(): api_packages_path = pkg_resources.resource_filename( "tensorflow", "_api/v2/api_packages.txt" ) logging.info("Load api packages file: %s", api_packages_path) with open(api_packages_path) as file: return set(file.read().splitlines()) super().setUp()
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ci/official/utilities/repack_libtensorflow.sh
# into a srcjar directly under the root. There doesn't appear to be a # simple way to parameterize this from bazel, hence this helper to # "normalize" the srcjar layout. # # Arguments: # src_jar - path to the original srcjar # dest_jar - path to the destination # Returns: # None function cp_normalized_srcjar() { src_jar="$1" dest_jar="$2" tmp_dir=$(mktemp -d) cp "${src_jar}" "${tmp_dir}/orig.jar" pushd "${tmp_dir}"
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ci/official/envs/macos_arm64
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=macos_arm64 TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-darwin-arm64" TFCI_MACOS_BAZEL_TEST_DIR_ENABLE=1 TFCI_MACOS_BAZEL_TEST_DIR_PATH="/Volumes/BuildData/bazel_output" TFCI_OUTPUT_DIR=build_output TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=240M TFCI_WHL_SIZE_LIMIT_ENABLE=1 # 3.11 is the system python on our images case $TFCI_PYTHON_VERSION in
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