diff --git a/src/qonnx/.DS_Store b/src/qonnx/.DS_Store
new file mode 100644
index 00000000..605cb96a
Binary files /dev/null and b/src/qonnx/.DS_Store differ
diff --git a/src/qonnx/core/data_layout.py b/src/qonnx/core/data_layout.py
index 4a5d87a4..3e90a144 100644
--- a/src/qonnx/core/data_layout.py
+++ b/src/qonnx/core/data_layout.py
@@ -34,16 +34,20 @@
 NCW = ["N", "C", "W"]
 NWC = ["N", "W", "C"]
 NC = ["N", "C"]
+# 5-dimension video input, D for sequence depth
+NCDHW = ["N", "C", "D", "H", "W"]
+NDHWC = ["N", "D", "H", "W", "C"]
+
 UNKNOWN = []
 
 
 def is_channels_last(layout):
     return layout[-1] == "C"
 
-
 def get_channels_last_layout_for_ndims(ndims):
-    return {4: NHWC, 3: NWC, 2: NC}[ndims]
+    return {5: NDHWC, 4: NHWC, 3: NWC, 2: NC}[ndims]
 
 
 def get_channels_first_layout_for_ndims(ndims):
-    return {4: NCHW, 3: NCW, 2: NC}[ndims]
+    return {5: NCDHW, 4: NCHW, 3: NCW, 2: NC}[ndims]
+
diff --git a/src/qonnx/transformation/.DS_Store b/src/qonnx/transformation/.DS_Store
new file mode 100644
index 00000000..5008ddfc
Binary files /dev/null and b/src/qonnx/transformation/.DS_Store differ
diff --git a/src/qonnx/transformation/infer_data_layouts.py b/src/qonnx/transformation/infer_data_layouts.py
index 81143e45..8b9c2f77 100644
--- a/src/qonnx/transformation/infer_data_layouts.py
+++ b/src/qonnx/transformation/infer_data_layouts.py
@@ -50,6 +50,11 @@ def _dims_to_layout(model, node, ndims):
                     return DataLayout.NWC
                 elif layout == "NC" and ndims == 2:
                     return DataLayout.NC
+                # 5D
+                elif layout == "NCDHW" and ndims == 5:
+                    return DataLayout.NCDHW
+                elif layout == "NDHWC" and ndims == 5:
+                    return DataLayout.NDHWC
                 else:
                     return DataLayout.UNKNOWN
             else:
@@ -59,6 +64,9 @@ def _dims_to_layout(model, node, ndims):
                     return DataLayout.NWC
                 elif ndims == 2:
                     return DataLayout.NC
+                # 5D
+                elif ndims == 5:
+                    return DataLayout.NCDHW
                 else:
                     return DataLayout.UNKNOWN
         else:
@@ -135,6 +143,11 @@ def apply(self, model):
                 graph_modified = True
                 warnings.warn("Assuming 2D input is NC")
                 model.set_tensor_layout(inp_name, DataLayout.NC)
+            # 5D
+            elif len(inp_shape) == 5:
+                graph_modified = True
+                warnings.warn("Assuming 5D input is NCDHW")
+                model.set_tensor_layout(inp_name, DataLayout.NCDHW)
             else:
                 raise Exception(
                     """Unknown number of dims for input, don't know