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ci/official/containers/linux_arm64/Dockerfile
COPY apt.conf /etc/apt/ RUN /build_patchelf.sh ################################################################################ FROM nvidia/cuda:12.3.1-devel-ubuntu20.04 as devel ################################################################################ COPY --from=builder /dt10 /dt10 COPY --from=builder /patchelf/patchelf_0.14.3-1_arm64.deb /patchelf/patchelf_0.14.3-1_arm64.deb # Install devtoolset devel dependencies
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CODE_OF_CONDUCT.md
## Conflict Resolution Conflicts in an open source project can take many forms, from someone having a bad day and using harsh and hurtful language in the issue queue, to more serious instances such as sexist/racist statements or threats of violence, and everything in between.
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tensorflow/c/eager/c_api.h
// different from the number returned by TFE_TensorHandleNumDims. // The return value was current at the time of TFE_TensorDebugInfo creation. TF_CAPI_EXPORT extern int TFE_TensorDebugInfoOnDeviceNumDims( TFE_TensorDebugInfo* debug_info); // Returns the number of elements in dimension `dim_index`. // Tensor representation on device can be transposed from its representation
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for
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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
Cleanup(Cleanup&& src) // NOLINT : released_(src.is_released()), f_(src.release()) {} // Implicitly move-constructible from any compatible Cleanup<G>. // The source will be released as if src.release() were called. // A moved-from Cleanup can be safely destroyed or reassigned. template <typename G> Cleanup(Cleanup<G>&& src) // NOLINT : released_(src.is_released()), f_(src.release()) {}
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tensorflow/c/eager/abstract_operation.h
AbstractOperationKind getKind() const { return kind_; } // Release any underlying resources, including the interface object. // // WARNING: The destructor of this class is marked as protected to disallow // clients from directly destroying this object since it may manage it's own // lifetime through ref counting. Thus this must be allocated on the heap and // clients MUST call Release() in order to destroy an instance of this class.
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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== set -euxo pipefail # Run this from inside the tensorflow github directory. # Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file" # Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl" #
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tensorflow/c/c_api.cc
->set_disable_optimize_for_static_graph(true); } void TF_TensorFromProto(const TF_Buffer* from, TF_Tensor* to, TF_Status* status) { TF_SetStatus(status, TF_OK, ""); tensorflow::TensorProto from_tensor_proto; status->status = BufferToMessage(from, &from_tensor_proto); if (!status->status.ok()) { return; } status->status =
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tensorflow/c/eager/dlpack_test.cc
==============================================================================*/ #include "tensorflow/c/eager/dlpack.h" #include <vector> #include "absl/strings/str_join.h" #include "include/dlpack/dlpack.h" // from @dlpack #include "tensorflow/c/eager/c_api.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace { void TestHandleFromDLPack(TF_Status* status, TFE_Context* ctx,
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tensorflow/c/experimental/gradients/nn_grad.cc
* * dA = U * dbias = reduceSum(U, dims = channel_dim) */ AbstractTensorHandle* upstream_grad = grad_outputs[0]; DCHECK(upstream_grad); // Recover data format from forward pass for gradient. std::string data_format; TF_RETURN_IF_ERROR(forward_attrs_.Get("data_format", &data_format)); // Grad for A grad_inputs[0] = upstream_grad; grad_inputs[0]->Ref();
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