[functorch] Fix missing spaces in some error messages. (pytorch/functorch#226)
diff --git a/functorch/functorch/_src/eager_transforms.py b/functorch/functorch/_src/eager_transforms.py
index 7fcc346..2a4f2a3 100644
--- a/functorch/functorch/_src/eager_transforms.py
+++ b/functorch/functorch/_src/eager_transforms.py
@@ -30,7 +30,7 @@
def create_differentiable(x):
if isinstance(x, torch.Tensor):
return x.requires_grad_()
- raise ValueError(f'Thing passed to transform API must be Tensor,'
+ raise ValueError(f'Thing passed to transform API must be Tensor, '
f'got {type(x)}')
return tree_map(create_differentiable, inps)
@@ -296,12 +296,12 @@
output, aux = output
if not isinstance(output, torch.Tensor):
- raise RuntimeError('grad_and_value(f)(*args): Expected f(*args)'
+ raise RuntimeError('grad_and_value(f)(*args): Expected f(*args) '
f'to return a Tensor, got {type(output)}')
if output.dim() != 0:
- raise RuntimeError('grad_and_value(f)(*args): Expected f(*args)'
+ raise RuntimeError('grad_and_value(f)(*args): Expected f(*args) '
'to return a scalar Tensor, got tensor with '
- f'{output.dim()} dims. Maybe you wanted to'
+ f'{output.dim()} dims. Maybe you wanted to '
'use the vjp or jacrev APIs instead?')
flat_diff_args, spec = tree_flatten(diff_args)
