},
          "custom": {
            "axisBorderShow": false,
            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "drawStyle": "line",
            "fillOpacity": 10,
            "gradientMode": "none",
            "hideFrom": {
              "legend": false,

  if (TF_GetCode(s) != TF_OK) return;
  std::vector<TFE_TensorHandle*> unwrapped_outputs;
  unwrapped_outputs.reserve(op_outputs.size());
  for (auto* handle : op_outputs) {
    unwrapped_outputs.push_back(handle);
  }
  for (int i = 0; i < *num_outputs; ++i) {
    auto logged_tensor = std::make_unique<LoggedTensor>(unwrapped_outputs[i]);
    outputs[i] = MakeLoggedTensorHandle(context, dev->device_name,

using tensorflow::gtl::ArraySlice;

namespace tensorflow {
namespace tracing {
namespace graph {

class GraphContext;
class GraphOperation;
class GraphTensor;

auto& kUnknownDim = shape_inference::InferenceContext::kUnknownDim;
auto& kUnknownRank = shape_inference::InferenceContext::kUnknownRank;

// GraphTensor wraps a `TF_Output`, i.e. a pointer to TF_Operation and the index
// into the list of outputs for the operation.

    padding: 2px;
    font-family: Verdana, sans-serif;
    font-size: 10pt;
    color: #000000;
    text-decoration: none
}
a.plain {
    display: inline;
    float: none;
    width: auto;
    height: auto
}
a.sort {
    display: block;
    float: left;
    width: 100px;
    height: 15px;
    font-family: Verdana, sans-serif;
    font-size: 8pt;
    font-weight: bold;
    text-decoration: none;

    /**
     * Create RDMA provider based on preference string
     *
     * @param preference provider preference ("auto", "disni", "tcp", etc.)
     * @return best available RDMA provider, or null if none available
     */
    public static RdmaProvider createProvider(String preference) {
        if ("auto".equalsIgnoreCase(preference)) {
            return selectBestProvider();
        }

        switch (preference.toLowerCase()) {

  if (dlMTensor->deleter != nullptr) {
    dlMTensor->deleter(dlMTensor);
  }
}

void* TFE_HandleToDLPack(TFE_TensorHandle* h, TF_Status* status) {
  auto tf_dlm_context = GetDlContext(h, status);
  if (!status->status.ok()) {
    return nullptr;
  }

  auto* tf_dlm_data = TFE_TensorHandleDevicePointer(h, status);
  if (!status->status.ok()) {
    return nullptr;
  }

 */
public class RdmaProviderFactoryTest {

    @Test
    public void testCreateProviderAuto() {
        RdmaProvider provider = RdmaProviderFactory.createProvider("auto");
        assertNotNull(provider, "Auto provider selection should return a provider");
        assertTrue(provider.isAvailable(), "Returned provider should be available");
    }

    @Test
    public void testCreateProviderTcp() {

                                    " into function '", fn_name, "'");

    input_tensors->emplace_back(node, idx);

    const auto& iter = input_nodes->find(node);
    if (iter == input_nodes->end()) {
      input_nodes->insert({node, {idx}});
    } else {
      auto& indices = iter->second;
      if (std::find(indices.begin(), indices.end(), idx) != indices.end()) {

          if git diff --staged --quiet; then
            echo "No changes to commit"
          else
            git commit -m "🎨 Auto format"
            git push
          fi
      - uses: pre-commit-ci/lite-action@v1.1.0
        if: env.HAS_SECRETS == 'false'
        with:
          msg: 🎨 Auto format
      - name: Error out on pre-commit errors
        if: steps.precommit.outcome == 'failure'
        run: exit 1

./mc version info myminio/versioned | grep -q "versioning is enabled"
ret=$?
if [ $ret -ne 0 ]; then
	echo "expected versioning enabled after expansion"
	exit 1
fi

./mc encrypt info myminio/versioned | grep -q "Auto encryption 'sse-s3' is enabled"
ret=$?
if [ $ret -ne 0 ]; then
	echo "expected encryption enabled after expansion"
	exit 1
fi

./mc version info myminio/versioned-1 | grep -q "versioning is enabled"
ret=$?