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ci/official/envs/linux_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_arm64_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
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ci/official/envs/versions_upload
TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-artifact-staging/staging/versions/${_LOUHI_EXECUTION_ID:-$(git rev-parse HEAD)}/"
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ci/official/envs/linux_arm64_cross_compile
# limitations under the License. # ============================================================================== source ci/official/envs/linux_arm64 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_linux_arm64"
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.github/workflows/osv-scanner-scheduled.yml
contents: read jobs: scan-scheduled: if: github.repository == 'tensorflow/tensorflow' uses: "google/osv-scanner-action/.github/workflows/osv-scanner-reusable.yml@v1.6.2-beta1" with: scan-args: |- --lockfile=requirements.txt:./requirements_lock_3_9.txt --lockfile=requirements.txt:./requirements_lock_3_10.txt --lockfile=requirements.txt:./requirements_lock_3_11.txt
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ci/official/envs/linux_arm64_onednn
# limitations under the License. # ============================================================================== source ci/official/envs/linux_arm64
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ci/official/requirements_updater/README.md
name = "requirements_3_11", extra_args = ["--allow-unsafe"], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly",
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ci/official/envs/macos_x86_cross_compile
# limitations under the License. # ============================================================================== source ci/official/envs/macos_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_macos_x86" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86 TFCI_MACOS_CROSS_COMPILE_ENABLE=1
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tensorflow/c/eager/dlpack.cc
if (!status->status.ok()) { return nullptr; } return tensor; } // Deleter for DLManagedTensor void DLManagedTensorDeleter(DLManagedTensor* arg) { TfDlManagedTensorCtx* owner = static_cast<TfDlManagedTensorCtx*>(arg->manager_ctx); owner->reference.Unref(); delete owner; } // Converts TF_DATAType to DLPack data type. DLDataType GetDlDataType(TF_DataType data_type, TF_Status* status) {
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tensorflow/c/c_api.cc
.NewSubScope(child_scope_name); if (dx != nullptr) { std::vector<tensorflow::Output> dx_arg = OutputsFromTFOutputs(dx, ny); status->status = AddSymbolicGradients(scope, y_arg, x_arg, dx_arg, &dy_arg); } else { status->status = AddSymbolicGradients(scope, y_arg, x_arg, &dy_arg); } // Update g->name_map with the name_map from the scope, which will contain
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tensorflow/c/eager/c_api_experimental.h
TFE_Context* ctx, const char* device_name, TF_DataType, const int64_t* dims, int num_dims, void* data, size_t len, void (*deallocator)(void* data, size_t len, void* arg), void* deallocator_arg, TF_Status* status); // Retrieves the address space (i.e. job, replia, task) of the local host and // saves it in the buffer. TF_CAPI_EXPORT extern void TFE_HostAddressSpace(TFE_Context* ctx,
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