TF_DeleteStatus(status);
    ASSERT_EQ(TF_OK, code) << status_msg;

    // Test op list.
    TF_Buffer op_list_buf = TF_GetOpList(lib);
    tensorflow::OpList op_list;
    EXPECT_TRUE(op_list.ParseFromArray(op_list_buf.data, op_list_buf.length));
    ASSERT_EQ(op_list.op_size(), 1);
    EXPECT_EQ("TestCApi1", op_list.op(0).name());
    TF_DeleteLibraryHandle(lib);
  }
#endif  // !defined(TENSORFLOW_NO_SHARED_OBJECTS)

    int num_retvals = 1;
    TF_Status* status = TF_NewStatus();
    TFE_Op* op = TFE_NewOp(ctx_1, "ReadVariableOp", status);
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    TFE_OpSetAttrType(op, "dtype", TF_FLOAT);
    TFE_OpAddInput(op, var_handle, status);
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    TFE_Execute(op, &handle_1, &num_retvals, status);

  }

  mutex_lock l(graph->mu);
  op->node.AddAttr(attr_name, attr_val);
  RecordMutation(graph, *op, "setting attribute");
}

void TF_ClearAttr(TF_Graph* graph, TF_Operation* op, const char* attr_name,
                  TF_Status* status) {
  using tensorflow::RecordMutation;
  mutex_lock l(graph->mu);
  op->node.ClearAttr(attr_name);
  RecordMutation(graph, *op, "clearing attribute");
}

                throwValidationError(messages -> messages.addErrorsInvalidHeaderForRequestFile(GLOBAL, "no header"),
                        () -> asListHtml(this::saveToken));
                return redirect(getClass()); // no-op
            }
            String line;
            while ((line = ReaderUtil.readLine(reader)) != null) {
                buf.append(line);
            }
        } catch (final Exception e) {

  void Release() override { delete this; }
  absl::Status Reset(const char* op, const char* raw_device_name) override {
    if (op_) {
      return errors::FailedPrecondition("Reset called on already built op.");
    }
    if (raw_device_name) {
      device_name_ = raw_device_name;
    }
    op_type_ = op;
    return absl::OkStatus();
  }
  absl::Status SetOpName(const char* const op_name) override {

    @Execute
    public HtmlResponse index() {
        if (isLoginRequired()) {
            return redirectToLogin();
        }

        return asHtml(virtualHost(path_IndexJsp)).useForm(SearchForm.class, op -> {
            op.setup(form -> {
                buildFormParams(form);
            });
        }).renderWith(data -> {
            buildInitParams();

    TF_Operation* op;
    UseHelper(inputs, &op);
    return op;
  }

  // All the *Helper methods are used as a workaround for the restrictions that
  // one cannot call ASSERT_* methods in non-void-returning functions (when
  // exceptions are disabled during compilation)
  void UseHelper(const std::vector<TF_Output>& inputs, TF_Operation** op) {
    TF_OperationDescription* desc =

        assertNotSame(supplied, got, "Zero-sized cache must not return the released instance");
    }

    // Edge: releasing null must be a no-op without exceptions
    @Test
    @DisplayName("releaseBuffer(null) is a no-op and does not throw")
    void releaseNullIsNoop() {
        BufferCacheImpl impl = new BufferCacheImpl(1, 4);
        assertDoesNotThrow(() -> impl.releaseBuffer(null));

class AbstractOpAttrs;

// Abstract interface to an operation.
class ImmediateExecutionOperation : public AbstractOperation {
 public:
  virtual void Clear() = 0;

  // Returns the inputs of this op.
  virtual absl::Span<ImmediateExecutionTensorHandle* const> GetInputs()
      const = 0;
  virtual absl::Status SetInput(size_t index,
                                ImmediateExecutionTensorHandle* input) = 0;

                   "        type: DT_FLOAT"
                   "      }"
                   "    }"
                   "    node_def {"
                   "      name: 'matmul'"
                   "      op: 'MatMul'"
                   "      input: 'a'"
                   "      input: 'b'"
                   "      device: '",
                   matmul_device, "'",
                   "      attr {"