#include "tensorflow/core/platform/stringpiece.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/util/saved_tensor_slice_util.h"
#include "tensorflow/core/util/tensor_bundle/naming.h"
#include "tensorflow/core/util/tensor_bundle/tensor_bundle.h"

namespace tensorflow {
namespace checkpoint {

class TensorSliceReader;

CheckpointReader::CheckpointReader(const string& filename, TF_Status* status)

			return errFileAccessDenied
		case isSysErrPathNotFound(err):
			// This is a special case should be handled only for
			// windows, because windows API does not return "not a
			// directory" error message. Handle this specifically
			// here.
			return errFileAccessDenied
		}
	}
	return err
}

// Reliably retries os.RemoveAll if for some reason os.RemoveAll returns
// syscall.ENOTEMPTY (children has files).

  // using a `spec.signerName=NAME` field selector.
  //
  // +optional
  optional string signerName = 1;

  // trustBundle contains the individual X.509 trust anchors for this
  // bundle, as PEM bundle of PEM-wrapped, DER-formatted X.509 certificates.
  //
  // The data must consist only of PEM certificate blocks that parse as valid
  // X.509 certificates.  Each certificate must include a basic constraints

        public int prefmaxlen;
        public int totalentries;
        public int resume_handle;

        public ShareEnumAll(String servername,
                    int level,
                    NdrObject info,
                    int prefmaxlen,
                    int totalentries,
                    int resume_handle) {
            this.servername = servername;
            this.level = level;

  ParallelTensor* t_released = t.release();
  TFE_CustomDeviceTensorHandleMethods handle_methods;
  handle_methods.num_dims = &ParallelTensorNumDims;
  handle_methods.dim = &ParallelTensorDim;
  handle_methods.deallocator = &ParallelTensorDeallocator;
  handle_methods.summarize = &ParallelTensorSummarize;
  return TensorHandlePtr(TFE_NewCustomDeviceTensorHandle(

# Workaround for networking (b/112379377) was closed as won't fix for MTU setting.
# Remaining lines handle making the metadata server on the VM accessible inside docker.
RUN Get-NetAdapter | Where-Object Name -like "*Ethernet*" | ForEach-Object { \
        & netsh interface ipv4 set subinterface $_.InterfaceIndex mtu=1460 store=persistent }; \

  TFE_TensorHandle* var_handle1 = TestVariable(ctx, 2.0, dev1_name);
  EXPECT_NE(var_handle1, nullptr);

  TFE_TensorHandle* value_handle = nullptr;
  ReadVariable(ctx, var_handle1, &value_handle);
  CheckTFE_TensorHandleHasFloats(value_handle, {2});
  TFE_DeleteTensorHandle(value_handle);

  // Start a new worker to replace task:1
  ReplaceTaskInServerDef(&server_def, 1);
  server_def.set_task_index(1);

    public static final int NT_STATUS_INVALID_INFO_CLASS = 0xC0000003;
    public static final int NT_STATUS_ACCESS_VIOLATION = 0xC0000005;
    public static final int NT_STATUS_INVALID_HANDLE = 0xC0000008;
    public static final int NT_STATUS_INVALID_PARAMETER = 0xC000000d;
    public static final int NT_STATUS_NO_SUCH_DEVICE = 0xC000000e;
    public static final int NT_STATUS_NO_SUCH_FILE = 0xC000000f;

#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/util/tensor_bundle/tensor_bundle.h"
#include "tensorflow/core/util/tensor_slice_reader.h"

namespace tensorflow {
namespace checkpoint {

class TensorSliceReader;

// A wrapper around BundleReader (for V2 checkpoints) and

  dltensor_in->strides = strides.data();
  TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx);
  ASSERT_NE(handle, nullptr)
      << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",")
      << "], strides=[" << absl::StrJoin(strides, ",") << "])";

  auto* dlm_out =
      static_cast<DLManagedTensor*>(TFE_HandleToDLPack(handle, status));
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);