diff --git a/.travis.yml b/.travis.yml
index e148849bbb98..d9a8b82f74b5 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -38,9 +38,11 @@ before_install: &before_install
   - pip install -r requirements-dev.txt
 
 install:
+  - pip install "mypy==0.782"
   - python setup.py install
 
 script:
+  - mypy --config-file mypy.ini
   - CI_PYTHON_VERSION="$TRAVIS_PYTHON_VERSION" sh tests/run_cpu_tests.sh
 
 after_success:
@@ -51,12 +53,11 @@ jobs:
     - stage: Lint check
       python: "3.7"
       before_install: # Nothing to do
-      install: pip install flake8 "black==19.10b0" "isort==4.3.21" "mypy==0.782"
+      install: pip install flake8 "black==19.10b0" "isort==4.3.21"
       script:
         - flake8 .
         - black --check .
         - isort -rc -c .
-        - mypy --config-file mypy.ini
       after_success: # Nothing to do
 
     # GitHub Pages Deployment: https://docs.travis-ci.com/user/deployment/pages/
diff --git a/ignite/utils.py b/ignite/utils.py
index 75c41e7ed0ea..b28b0b2544b6 100644
--- a/ignite/utils.py
+++ b/ignite/utils.py
@@ -1,7 +1,7 @@
 import collections.abc as collections
 import logging
 import random
-from typing import Any, Callable, Optional, Tuple, Type, Union
+from typing import Any, Callable, Optional, Tuple, Type, Union, cast
 
 import torch
 
@@ -41,11 +41,13 @@ def apply_to_type(
     if isinstance(input_, (str, bytes)):
         return input_
     if isinstance(input_, collections.Mapping):
-        return type(input_)({k: apply_to_type(sample, input_type, func) for k, sample in input_.items()})
+        return cast(Callable, type(input_))(
+            {k: apply_to_type(sample, input_type, func) for k, sample in input_.items()}
+        )
     if isinstance(input_, tuple) and hasattr(input_, "_fields"):  # namedtuple
-        return type(input_)(*(apply_to_type(sample, input_type, func) for sample in input_))
+        return cast(Callable, type(input_))(*(apply_to_type(sample, input_type, func) for sample in input_))
     if isinstance(input_, collections.Sequence):
-        return type(input_)([apply_to_type(sample, input_type, func) for sample in input_])
+        return cast(Callable, type(input_))([apply_to_type(sample, input_type, func) for sample in input_])
     raise TypeError(("input must contain {}, dicts or lists; found {}".format(input_type, type(input_))))
 
 
diff --git a/mypy.ini b/mypy.ini
index 5ef86a5e30fe..586ae4633cf3 100644
--- a/mypy.ini
+++ b/mypy.ini
@@ -27,6 +27,5 @@ ignore_errors = True
 
 ignore_errors = True
 
-[mypy-ignite.utils.*]
-
-ignore_errors = True
+[mypy-numpy.*]
+ignore_missing_imports = True