Minor fix in readme

Author: sovrasov

README.md

@@ -33,7 +33,7 @@ not contributing to the final complexity estimation. See `ptflops/pytorch_ops.py
 - `ptflops` launches a given model on a random tensor and estimates amount of computations during inference. Complicated models can have several inputs, some of them could be optional. To construct non-trivial input one can use the `input_constructor` argument of the `get_model_complexity_info`. `input_constructor` is a function that takes the input spatial resolution as a tuple and returns a dict with named input arguments of the model. Next this dict would be passed to the model as a keyword arguments.
 - `verbose` parameter allows to get information about modules that don't contribute to the final numbers.
 - `ignore_modules` option forces `ptflops` to ignore the listed modules. This can be useful
-for research purposes. For an instance, one can drop all convolutuions from the counting process
+for research purposes. For instance, one can drop all convolutions from the counting process
 specifying `ignore_modules=[torch.nn.Conv2d]`.
 
 ## Install the latest version