rohitg00/ai-engineering-from-scratch · error · ValueError
Cannot reshape {len(self._data)} elements into shape {shape}
Error message
Cannot reshape {len(self._data)} elements into shape {shape} What it means
Error "Cannot reshape {len(self._data)} elements into shape {shape}" thrown in rohitg00/ai-engineering-from-scratch.
Source
Thrown at phases/01-math-foundations/12-tensor-operations/code/tensors.py:20
from functools import reduce
from itertools import product as iterproduct
class Tensor:
def __init__(self, data, shape=None):
if isinstance(data, (list, tuple)):
self._data, self._shape = self._flatten_nested(data)
elif isinstance(data, np.ndarray):
self._data = data.flatten().tolist()
self._shape = tuple(data.shape)
else:
self._data = [data]
self._shape = ()
if shape is not None:
total = reduce(lambda a, b: a * b, shape, 1)
if total != len(self._data):
raise ValueError(
f"Cannot reshape {len(self._data)} elements into shape {shape}"
)
self._shape = tuple(shape)
self._strides = self._compute_strides(self._shape)
def _flatten_nested(self, data):
if not isinstance(data, (list, tuple)):
return [data], ()
if len(data) == 0:
return [], (0,)
sub_results = [self._flatten_nested(item) for item in data]
sub_shape = sub_results[0][1]
for i, (_, s) in enumerate(sub_results):
if s != sub_shape:
raise ValueError(
f"Inconsistent shapes at index {i}: {s} vs {sub_shape}"View on GitHub (pinned to 39ea8a1c6d)
When it happens
Trigger: Thrown at phases/01-math-foundations/12-tensor-operations/code/tensors.py:20 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of rohitg00/ai-engineering-from-scratch@39ea8a1c6d (2026-08-26).
Data as JSON: /api/errors/42d1051a0e18699c.
Report an issue: GitHub.