size_t length) = 0;
  virtual absl::Status SetAttrTensor(const char* attr_name,
                                     AbstractTensorInterface* tensor) = 0;
  virtual absl::Status SetAttrStringList(const char* attr_name,
                                         const void* const* values,
                                         const size_t* lengths,

operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel...

#include "tensorflow/core/framework/graph_to_functiondef.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/tensor.pb.h"  // NOLINT
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/platform/base64.h"
#include "tensorflow/core/platform/strcat.h"

    "@local_config_cuda//cuda:cuda_driver + "\
    "@local_config_cuda//cuda:cudnn + "\
    "@local_config_cuda//cuda:curand + "\
    "@local_config_cuda//cuda:cusolver + "\
    "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out

  cat <<EOF
There was a path found connecting //tensorflow/tools/pip_package:wheel
to a banned CUDA dependency. Here's the output from bazel query:
EOF

satisfied only across the erasure set for an object. Healing is also done per object within the erasure set which contains the object.

- MinIO does erasure coding at the object level not at the volume level, unlike other object storage vendors. This allows applications to choose different storage class by setting `x-amz-storage-class=STANDARD/REDUCED_REDUNDANCY` for each object uploads so effectively utilizing the capacity of the cluster. Additionally these can also be enforced using IAM...

	uint16max = (1 << 16) - 1
	uint32max = (1 << 32) - 1

	// Extra header IDs.
	//
	// IDs 0..31 are reserved for official use by PKWARE.
	// IDs above that range are defined by third-party vendors.
	// Since ZIP lacked high precision timestamps (nor an official specification
	// of the timezone used for the date fields), many competing extra fields
	// have been invented. Pervasive use effectively makes them "official".

    EXPECT_EQ(TF_FLOAT, TFE_TensorHandleDataType(handle_1));
    EXPECT_EQ(0, TFE_TensorHandleNumDims(handle_1, status));
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

    // Read the value of tensor handle `handle_1`.
    float value = 0.0f;
    TF_Tensor* t = TFE_TensorHandleResolve(handle_1, status);
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    ASSERT_EQ(sizeof(float), TF_TensorByteSize(t));

TFE_TensorHandle* TFE_NewTensorHandleFromTensor(TFE_Context* ctx, TF_Tensor* t,
                                                TF_Status* status) {
  return tensorflow::wrap(
      tensorflow::unwrap(ctx)->CreateLocalHandle(t->tensor));
}

TFE_TensorHandle* TFE_CreatePackedTensorHandle(TFE_Context* ctx,
                                               TFE_TensorHandle** handles,
                                               int* num_handles,

alternative to `EmptyDir` volumes: as with `EmptyDir`, volumes are created and deleted for each pod automatically by Kubernetes. But because the normal provisioning process is used (`PersistentVolumeClaim`), storage can be provided by third-party storage vendors and all of the usual volume features work. Volumes don't need to be empt; for example, restoring from snapshot is supported. ([#92784](https://github.com/kubernetes/kubernetes/pull/92784), [@pohly](https://github.com/pohly)) [SIG API Machinery, Apps,...

large amounts of memory.  Use of Huge Pages is a common tuning recommendation for databases and JVMs.  Finally, the [Device Plugin](https://kubernetes.io/docs/concepts/cluster-administration/device-plugins/) feature, which provides a framework for vendors to advertise their resources to the Kubelet without changing Kubernetes core code.  Targeted devices include GPUs, High-performance NICs, FPGAs, InfiniBand, and other similar computing resources that may require vendor specific initialization and...