I got this error while trying to convert nn.module to torchscript.
Traceback (most recent call last):
File "/home/dai/scripts/mobileocr/detector/mobilenet_east_deploy.py", line 240, in <module>
script_module = torch.jit.script(net)
File "/home/dai/py36env/lib/python3.6/site-packages/torch/jit/__init__.py", line 1203, in script
return torch.jit.torch.jit._recursive.recursive_script(obj)
File "/home/dai/py36env/lib/python3.6/site-packages/torch/jit/_recursive.py", line 173, in recursive_script
return copy_to_script_module(mod, overload_stubs + stubs)
File "/home/dai/py36env/lib/python3.6/site-packages/torch/jit/_recursive.py", line 95, in copy_to_script_module
torch.jit._create_methods_from_stubs(script_module, stubs)
File "/home/dai/py36env/lib/python3.6/site-packages/torch/jit/__init__.py", line 1423, in _create_methods_from_stubs
self._c._create_methods(self, defs, rcbs, defaults)
File "/home/dai/py36env/lib/python3.6/site-packages/torch/jit/_recursive.py", line 222, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/dai/py36env/lib/python3.6/site-packages/torch/jit/__init__.py", line 1226, in script
fn = torch._C._jit_script_compile(qualified_name, ast, _rcb, get_default_args(obj))
File "/home/dai/py36env/lib/python3.6/site-packages/torch/jit/_recursive.py", line 222, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/dai/py36env/lib/python3.6/site-packages/torch/jit/__init__.py", line 1226, in script
fn = torch._C._jit_script_compile(qualified_name, ast, _rcb, get_default_args(obj))
RuntimeError:
Unknown builtin op: aten::Tensor.
Here are some suggestions:
aten::tensor
The original call is:
at /home/dai/scripts/mobileocr/detector/mobilenet_east_deploy.py:193:17
for i in range(valid_pos.shape[0]):
x = valid_pos[i,0]
y = valid_pos[i,1]
y_min = y - d[0,i]
y_max = y + d[1,i]
x_min = x - d[2,i]
x_max = x + d[3,i]
rotate_mat = get_rotate_mat_torch(-angle[i])
temp_x = torch.Tensor([[x_min,x_max,x_max,x_min]]) - x
~~~~~~~~~~~~ <--- HERE
temp_y = torch.Tensor([[y_min,y_min,y_max,y_max]]) - y
coordinates = torch.cat([temp_x,temp_y],dim = 0)
# res = torch.dot(rotate_mat,coordinates)
res = torch.matmul(rotate_mat,coordinates)
res[0,:] += x
res[1,:] += y
if is_valid_poly_torch(res,score_shape,scale):
index.append(i)
My pytorch version is 1.3.1 + cu92
How can I solve this problem or what function can be used to replace torch.Tensor()?
Please remind me if more information is needed.