// Create a session for this graph.
  CSession csession(graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Run the graph.
  csession.SetInputs({{feed, Int32Tensor(3)}});
  csession.SetOutputs({add});
  csession.Run(s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_Tensor* out = csession.output_tensor(0);
  ASSERT_TRUE(out != nullptr);

        assertEquals("b2", itemList.get(1).getInputs()[1]);
        assertEquals("B1", itemList.get(1).getOutputs()[0]);
        assertFalse(itemList.get(1).isUpdated());

        assertEquals(1, itemList.get(2).getInputs().length);
        assertEquals(2, itemList.get(2).getOutputs().length);
        assertEquals("c1", itemList.get(2).getInputs()[0]);

        assertEquals(1, synonymItem.getId());
        assertEquals(2, synonymItem.getInputs().length);
        assertEquals("a", synonymItem.getInputs()[0]);
        assertEquals("A", synonymItem.getInputs()[1]);
        assertEquals(2, synonymItem.getOutputs().length);
        assertEquals("b", synonymItem.getOutputs()[0]);

        tasks.named("test", Test.class).configure(task -> {
            task.getInputs().file(extension.getReleaseNotes().getRenderedDocumentation()).withPropertyName("releaseNotes").withPathSensitivity(PathSensitivity.NONE);

            task.getInputs().property("systemProperties", Collections.emptyMap());
            // TODO: This breaks the provider

        return newOutput;
    }

    public void setNewOutput(final String newOutput) {
        this.newOutput = newOutput == null ? null : newOutput.replace("\n", " ");
    }

    public String[] getInputs() {
        return inputs;
    }

    public String getInputsValue() {
        if (inputs == null) {
            return StringUtil.EMPTY;
        }
        return String.join("\n", inputs);
    }

    }

    public String[] getNewOutputs() {
        return newOutputs;
    }

    public void setNewOutputs(final String[] newOutputs) {
        this.newOutputs = newOutputs;
    }

    public String[] getInputs() {
        return inputs;
    }

    public String getInputsValue() {
        if (inputs == null) {
            return StringUtil.EMPTY;
        }
        return String.join("\n", inputs);
    }

                options.setSeparateOutputDirs(false);
                options.setBackends(singletonList("html5"));
            });

            // TODO: Break the paths assumed here
            TaskInputs inputs = task.getInputs();
            inputs.files(extension.getCssFiles())
                .withPropertyName("manual")
                .withPathSensitivity(PathSensitivity.RELATIVE);
            inputs.dir("src/main/resources")

}

extern int TFE_OpGetFlatInputCount(const TFE_Op* op, TF_Status* status) {
  return tensorflow::unwrap(op)->GetInputs().size();
}

extern TFE_TensorHandle* TFE_OpGetFlatInput(const TFE_Op* op, int index,
                                            TF_Status* status) {
  return tensorflow::wrap(tensorflow::unwrap(op)->GetInputs()[index]);
}

TF_AttrType TFE_OpGetAttrType(TFE_Op* op, const char* attr_name,