Add non-streaming ASR (#92)

sherpa-onnx/csrc/slice.cc

@@ -24,7 +24,7 @@ Ort::Value Slice(OrtAllocator *allocator, const Ort::Value *v,
 
   assert(0 <= dim1_start);
   assert(dim1_start < dim1_end);
-  assert(dim1_end < shape[1]);
+  assert(dim1_end <= shape[1]);
 
   const T *src = v->GetTensorData<T>();
 
@@ -46,8 +46,35 @@ Ort::Value Slice(OrtAllocator *allocator, const Ort::Value *v,
   return ans;
 }
 
+template <typename T /*= float*/>
+Ort::Value Slice(OrtAllocator *allocator, const Ort::Value *v,
+                 int32_t dim0_start, int32_t dim0_end) {
+  std::vector<int64_t> shape = v->GetTensorTypeAndShapeInfo().GetShape();
+  assert(shape.size() == 2);
+
+  assert(0 <= dim0_start);
+  assert(dim0_start < dim0_end);
+  assert(dim0_end <= shape[0]);
+
+  const T *src = v->GetTensorData<T>();
+
+  std::array<int64_t, 2> ans_shape{dim0_end - dim0_start, shape[1]};
+
+  Ort::Value ans = Ort::Value::CreateTensor<T>(allocator, ans_shape.data(),
+                                               ans_shape.size());
+  const T *start = v->GetTensorData<T>() + dim0_start * shape[1];
+  const T *end = v->GetTensorData<T>() + dim0_end * shape[1];
+  T *dst = ans.GetTensorMutableData<T>();
+  std::copy(start, end, dst);
+
+  return ans;
+}
+
 template Ort::Value Slice<float>(OrtAllocator *allocator, const Ort::Value *v,
                                  int32_t dim0_start, int32_t dim0_end,
                                  int32_t dim1_start, int32_t dim1_end);
 
+template Ort::Value Slice<float>(OrtAllocator *allocator, const Ort::Value *v,
+                                 int32_t dim0_start, int32_t dim0_end);
+
 }  // namespace sherpa_onnx