TF_Status* s);
void TF_DeleteExecutionContext(TF_ExecutionContext*);

// Represents a (partially-defined) shape.
typedef struct TF_Shape {
  int num_dims;  // Must be >= -1; -1 represents unknown rank.
  int64_t* dim_sizes;
} TF_Shape;

// Add a new parameter to a TensorFlow Function.
TF_AbstractTensor* TF_AddFunctionParameter(TF_ExecutionContext* func,

}

TF_Tensor* TFE_AllocateHostTensor(TFE_Context* ctx, TF_DataType dtype,
                                  const int64_t* dims, int num_dims,
                                  TF_Status* status) {
  std::vector<int64_t> dimvec(num_dims);
  for (int i = 0; i < num_dims; ++i) {
    dimvec[i] = static_cast<int64_t>(dims[i]);
  }

  if (ctx == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid Context");

  // `memory_releaser` will be called on destruction, and it's responsible for
  // cleaning up the underlying buffer.
  virtual AbstractTensorInterface* CreateTensor(
      DataType dtype, const int64_t* dims, int num_dims, void* data, size_t len,
      MemoryReleaser memory_releaser, void* memory_releaser_arg) = 0;

  // Create a handle to wrap and manage a Tensor
  virtual ImmediateExecutionTensorHandle* CreateLocalHandle(

* Fix issue where on re-registration of device plugin, `allocatable` was not getting updated. This issue makes devices invisible to the Kubelet if device plugin restarts. Only work-around, if this fix is not there, is to restart...

    std::unique_ptr<LoggedTensor> t, TF_Status* status) {
  auto dtype = TFE_TensorHandleDataType(t->tensor);
  TFE_CustomDeviceTensorHandleMethods handle_methods;
  handle_methods.num_dims = &LoggedTensorNumDims;
  handle_methods.dim = &LoggedTensorDim;
  handle_methods.deallocator = &LoggedTensorDeallocator;
  return TFE_NewCustomDeviceTensorHandle(context, logging_device_name.c_str(),

- The deprecated Kubelet flag `--allow-privileged` has been removed. Remove any use of the flag from your kubelet scripts or manifests. ([#77820](https://github.com/kubernetes/kubernetes/pull/77820), [@dims](https://github.com/dims))

  TFE_DeleteContextOptions(opts);

  std::vector<int64_t> dims(4, 1);
  TFE_Op* op = TFE_NewOp(ctx, "AvgPool", status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TF_Tensor* tensor =
      TF_AllocateTensor(TF_FLOAT, dims.data(), dims.size(), sizeof(float));
  float tensor_data[] = {1};

* kubeadm: Fix pause image to not use architecture, as it is a manifest list ([#65920](https://github.com/kubernetes/kubernetes/pull/65920), [@dims](https://github.com/dims))
* bazel deb package bugfix: The kubeadm deb package now reloads the kubelet after installation ([#65554](https://github.com/kubernetes/kubernetes/pull/65554), [@rdodev](https://github.com/rdodev))

* Use the mounted "/var/run/secrets/kubernetes.io/serviceaccount/token" as the token file for running in-cluster based e2e testing. ([#69273](https://github.com/kubernetes/kubernetes/pull/69273), [@dims](https://github.com/dims))
* Fix panic in kubectl rollout commands ([#69151](https://github.com/kubernetes/kubernetes/pull/69151), [@soltysh](https://github.com/soltysh))

- The feature gate `LegacyServiceAccountTokenTracking` (GA since 1.28) is now removed because the feature is unconditionally enabled. ([#122409](https://github.com/kubernetes/kubernetes/pull/122409), [@Rei1010](https://github.com/Rei1010))...