},
				"subprojects":[
					"launcher",
					"build-state",
					"time",
					"logging-api",
					"public-api-tests",
					"kotlin-dsl-plugins",
					"serialization",
					"toolchains-jvm-shared",
					"build-process-services",
					"docs-asciidoctor-extensions-base",
					"internal-instrumentation-processor"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},

}

// Create an empty tensor of type 'dtype'. 'shape' can be arbitrary, but has to
// result in a zero-sized tensor.
static TF_Tensor* EmptyTensor(TF_DataType dtype,
                              const tensorflow::TensorShape& shape) {
  static char empty;
  int64_t nelems = 1;
  std::vector<int64_t> dims;
  dims.reserve(shape.dims());
  for (int i = 0; i < shape.dims(); ++i) {
    dims.push_back(shape.dim_size(i));

   * <<<.mvn/extensions.xml>>> containing {{{./core-extensions.html}a list of extensions}},

 * since 3.5.0, output is colorized by default, with color disabled in batch mode: see
   {{{/shared/maven-shared-utils/apidocs/org/apache/maven/shared/utils/logging/package-summary.html}styled message API}}

        `max_batch_size` for building TensorRT engines. Add parameters
        `use_dynamic_shape` to enable dynamic shape support. The default is to
        disable dynamic shape support. Add `dynamic_shape_profile_strategy` for
        selecting a dynamic shape profile strategy. The default is profile
        strategy is `Range`.
    *   Issue a warning when function get_tensorrt_rewriter_config is used.

    return nullptr;
  }
  tensorflow::PartialTensorShape partial_shape;
  if (shape.num_dims != -1) {
    DCHECK(shape.dim_sizes != nullptr);
    Status status = tensorflow::PartialTensorShape::MakePartialShape(
        reinterpret_cast<int64_t*>(shape.dim_sizes), shape.num_dims,
        &partial_shape);
    if (!status.ok()) {
      tsl::Set_TF_Status_from_Status(s, status);

// TODO(b/193656009): Defining these in a cc file causes linker errors with
// fastbuild.
inline absl::Status AbstractOperation::SetAttrShape(
    const char* attr_name, const PartialTensorShape shape) {
  return SetAttrShape(attr_name, shape.dim_sizes().data(), shape.dims());
}

inline absl::Status AbstractOperation::SetAttrStringList(
    const char* attr_name, absl::Span<string const> values) {
  std::vector<const char*> raw_strs;

  if (reader_ != nullptr) {
    status = reader_->GetTensor(name, out_tensor);
  } else {
    tensorflow::DataType dtype;
    tensorflow::TensorShape shape;
    status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape);
    if (status.ok()) {
      out_tensor->reset(new Tensor(dtype, shape));
      status = v2_reader_->Lookup(name, out_tensor->get());
      if (!status.ok()) out_tensor->reset();
    }
  }
  if (!status.ok()) {

## Changelog since v1.18.14

## Changes by Kind

### Bug or Regression

- Fix Azure file share not deleted issue when the namespace is deleted ([#97417](https://github.com/kubernetes/kubernetes/pull/97417), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider and Storage]

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