Begin to support CTC models (#119)

Please see https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/index.html for a list of pre-trained CTC models from NeMo.

sherpa-onnx/csrc/transpose-test.cc

@@ -35,4 +35,28 @@ TEST(Tranpose, Tranpose01) {
   }
 }
 
+TEST(Tranpose, Tranpose12) {
+  Ort::AllocatorWithDefaultOptions allocator;
+  std::array<int64_t, 3> shape{3, 2, 5};
+  Ort::Value v =
+      Ort::Value::CreateTensor<float>(allocator, shape.data(), shape.size());
+  float *p = v.GetTensorMutableData<float>();
+
+  std::iota(p, p + shape[0] * shape[1] * shape[2], 0);
+
+  auto ans = Transpose12(allocator, &v);
+  auto v2 = Transpose12(allocator, &ans);
+
+  Print3D(&v);
+  Print3D(&ans);
+  Print3D(&v2);
+
+  const float *q = v2.GetTensorData<float>();
+
+  for (int32_t i = 0; i != static_cast<int32_t>(shape[0] * shape[1] * shape[2]);
+       ++i) {
+    EXPECT_EQ(p[i], q[i]);
+  }
+}
+
 }  // namespace sherpa_onnx