diff --git a/inference.py b/inference.py
index 16d19944..e6c9d247 100755
--- a/inference.py
+++ b/inference.py
@@ -33,6 +33,8 @@ parser.add_argument('-b', '--batch-size', default=256, type=int,
                     metavar='N', help='mini-batch size (default: 256)')
 parser.add_argument('--img-size', default=None, type=int,
                     metavar='N', help='Input image dimension')
+parser.add_argument('--input-size', default=None, nargs=3, type=int,
+                    metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
 parser.add_argument('--mean', type=float, nargs='+', default=None, metavar='MEAN',
                     help='Override mean pixel value of dataset')
 parser.add_argument('--std', type=float, nargs='+', default=None, metavar='STD',
diff --git a/train.py b/train.py
index 7a93a1b6..eaa28c88 100755
--- a/train.py
+++ b/train.py
@@ -82,6 +82,8 @@ parser.add_argument('--gp', default=None, type=str, metavar='POOL',
                     help='Global pool type, one of (fast, avg, max, avgmax, avgmaxc). Model default if None.')
 parser.add_argument('--img-size', type=int, default=None, metavar='N',
                     help='Image patch size (default: None => model default)')
+parser.add_argument('--input-size', default=None, nargs=3, type=int,
+                    metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
 parser.add_argument('--crop-pct', default=None, type=float,
                     metavar='N', help='Input image center crop percent (for validation only)')
 parser.add_argument('--mean', type=float, nargs='+', default=None, metavar='MEAN',
diff --git a/validate.py b/validate.py
index 5a0d388c..a9deb5f9 100755
--- a/validate.py
+++ b/validate.py
@@ -52,6 +52,8 @@ parser.add_argument('-b', '--batch-size', default=256, type=int,
                     metavar='N', help='mini-batch size (default: 256)')
 parser.add_argument('--img-size', default=None, type=int,
                     metavar='N', help='Input image dimension, uses model default if empty')
+parser.add_argument('--input-size', default=None, nargs=3, type=int,
+                    metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
 parser.add_argument('--crop-pct', default=None, type=float,
                     metavar='N', help='Input image center crop pct')
 parser.add_argument('--mean', type=float, nargs='+', default=None, metavar='MEAN',