unsafe void Run(KeyValuePair <Operation, Tensor>[] inputs, TF_Output[] outputs, int[] expected_results)
{
var csession = new CSession(host_graph_, s_);
ASSERT_EQ(TF_OK, s_.Code, s_.Message);
csession.SetInputs(inputs);
csession.SetOutputs(outputs);
csession.Run(s_);
ASSERT_EQ(TF_OK, s_.Code, s_.Message);
for (int i = 0; i < expected_results.Length; ++i)
{
var output = csession.output_tensor(i);
ASSERT_TRUE(!output.IsInvalid);
EXPECT_EQ(TF_DataType.TF_INT32, c_api.TF_TensorType(output));
EXPECT_EQ(0, c_api.TF_NumDims(output));
ASSERT_EQ(sizeof(int), (int)c_api.TF_TensorByteSize(output));
var output_contents = c_api.TF_TensorData(output);
EXPECT_EQ(expected_results[i], *(int *)output_contents.ToPointer());
}
}
private void RunGraphsAndCompareOutputs(TF_Output[] grad_outputs, TF_Output[] expected_grad_outputs)
{
var csession = new CSession(graph_, s_);
var expected_csession = new CSession(expected_graph_, s_);
var grad_outputs_vec = grad_outputs;
csession.SetOutputs(grad_outputs_vec);
csession.Run(s_);
ASSERT_EQ(TF_OK, TF_GetCode(s_));
var out0 = csession.output_tensor(0);
var out1 = csession.output_tensor(1);
var expected_grad_outputs_vec = expected_grad_outputs;
expected_csession.SetOutputs(expected_grad_outputs_vec);
expected_csession.Run(s_);
ASSERT_EQ(TF_OK, TF_GetCode(s_));
var expected_out0 = expected_csession.output_tensor(0);
var expected_out1 = expected_csession.output_tensor(1);
//CompareTensors(out0, expected_out0);
//CompareTensors(out1, expected_out1);
}
