// Only rank size four input will be only available by the tf.Conv2D
    // operator verification.
    if (!input_type || input_type.isDynamicDim(3)) {
      return failure();
    }
    // Check if the given op is based on grouped convolution.
    // Dim size zero will be verified by the tf.Conv2D operator verification.
    if (input_type.getDimSize(3) % filter_type.getDimSize(2) != 0) {
      return failure();

	// evictions into account, or re-queue the PDB for another sync (by returning
	// an error)
	if err := dc.sync(ctx, pdbKey); err != nil {
		t.Logf("sync() returned with error: %v", err)
	} else {
		t.Logf("sync() returned with no error")
	}

	// (C) Whether or not sync() returned an error, the PDB status should reflect
	// the evictions that took place.

// +enum
type FailurePolicyType string

const (
	// Ignore means that an error calling the webhook is ignored.
	Ignore FailurePolicyType = "Ignore"
	// Fail means that an error calling the webhook causes the admission to fail.
	Fail FailurePolicyType = "Fail"
)

// ParameterNotFoundActionType specifies a failure policy that defines how a binding

  struct HashSignatureForAndOr {
    size_t operator()(const SignatureForAndOr& signature) const {
      size_t hash = ::tensorflow::hash<Predicate::Kind>()(signature.first);
      for (Predicate* p : signature.second) {
        hash = Hash64Combine(hash, ::tensorflow::hash<Predicate*>()(p));
      }
      return hash;
    }
  };

  struct HashSignatureForSymbol {
    size_t operator()(const SignatureForSymbol& signature) const {

  explicit AssertionResult(bool success) : success_(success) {}

  // Returns true iff the assertion succeeded.
  operator bool() const { return success_; }  // NOLINT

  // Returns the assertion's negation. Used with EXPECT/ASSERT_FALSE.
  AssertionResult operator!() const;

  // Returns the text streamed into this AssertionResult. Test assertions

			if utyp.fields == nil {
				check.error(e, InvalidTypeCycle, "invalid recursive type")
				goto Error
			}
			if len(e.Elts) == 0 {
				break
			}
			// Convention for error messages on invalid struct literals:
			// we mention the struct type only if it clarifies the error
			// (e.g., a duplicate field error doesn't need the struct type).
			fields := utyp.fields

				HTTPStatusCode: http.StatusBadRequest,
			}
		case replication.Error:
			apiErr = APIError{
				Code:           "MalformedXML",
				Description:    e.Error(),
				HTTPStatusCode: http.StatusBadRequest,
			}
		case tags.Error:
			apiErr = APIError{
				Code:           e.Code(),
				Description:    e.Error(),
				HTTPStatusCode: http.StatusBadRequest,
			}
		case policy.Error:

			},
		},
	}

	for _, tc := range testCases {
		// If using t.Parallel() you must copy the iteration to a new local variable
		// https://github.com/golang/go/wiki/CommonMistakes#using-goroutines-on-loop-iterator-variables
		tc := tc
		t.Run(tc.name, func(t *testing.T) {
			t.Parallel()
			// Setup kube caches
			controller, fx := NewFakeControllerWithOptions(t, FakeControllerOptions{})

        } else {
            // The isEmpty check is not required, might look innocent, but Guava's performance bad for an empty immutable list
            // because it still creates an inner class for an iterator, which delegates to an Array iterator, which does... nothing.
            // so just adding this check has a significant impact because most components do not declare any capability
            if (!capabilities.isEmpty()) {

  ASSERT_THAT(op->outputs, SizeIs(1));

  const SubGraph* float_graph = readonly_model_->subgraphs()->Get(0);
  // Verify FC input tensor and weight are int16 and int8 quantized.
  const Operator* float_op = float_graph->operators()->Get(0);
  ASSERT_THAT(float_graph->tensors()->Get(float_op->inputs()->Get(0))->type(),
              Eq(TensorType_FLOAT32));
  EXPECT_THAT(subgraph->tensors[op->inputs[0]].get()->type,