keras-team/keras · error · ValueError
`patches` has unexpected rank for 2D reconstruction. Expecte
Error message
`patches` has unexpected rank for 2D reconstruction. Expected 3 (unbatched) or 4 (batched). Received shape: {patches.shape} What it means
Error "`patches` has unexpected rank for 2D reconstruction. Expected 3 (unbatched) or 4 (batched). Received shape: {patches.shape}" thrown in keras-team/keras.
Source
Thrown at keras/src/ops/image.py:1252
patches = backend.numpy.transpose(patches, axes=(0, 2, 3, 1))
else:
raise ValueError(
"`patches` has unexpected rank for 2D channels_first "
"reconstruction. Expected 3 (unbatched) or 4 (batched). "
f"Received shape: {patches.shape}"
)
result = _reconstruct_patches_2d(
patches, size, output_size, strides, padding, "channels_last"
)
if len(result.shape) == 3:
return backend.numpy.transpose(result, axes=(2, 0, 1))
return backend.numpy.transpose(result, axes=(0, 3, 1, 2))
pH, pW = size
H, W = output_size
if len(patches.shape) not in (3, 4):
raise ValueError(
"`patches` has unexpected rank for 2D reconstruction. "
"Expected 3 (unbatched) or 4 (batched). "
f"Received shape: {patches.shape}"
)
_unbatched = False
if len(patches.shape) == 3:
_unbatched = True
patches = backend.numpy.expand_dims(patches, axis=0)
shp = ops.shape(patches)
B, gH, gW = shp[0], shp[1], shp[2]
static_flat = patches.shape[-1]
if static_flat is None:
C = shp[3] // (pH * pW)
else:
if static_flat % (pH * pW) != 0:
raise ValueError(View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/ops/image.py:1252 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25).
Data as JSON: /api/errors/50cd4e7ca1207bef.
Report an issue: GitHub.