rohitg00/ai-engineering-from-scratch · error · ValueError

Inconsistent shapes at index {i}: {s} vs {sub_shape}

Error message

Inconsistent shapes at index {i}: {s} vs {sub_shape}

What it means

Error "Inconsistent shapes at index {i}: {s} vs {sub_shape}" thrown in rohitg00/ai-engineering-from-scratch.

Source

Thrown at phases/01-math-foundations/12-tensor-operations/code/tensors.py:37

            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}"
                )

        flat = []
        for sub_data, _ in sub_results:
            flat.extend(sub_data)

        return flat, (len(data),) + sub_shape

    @staticmethod
    def _compute_strides(shape):
        if len(shape) == 0:
            return ()
        strides = [1] * len(shape)
        for i in range(len(shape) - 2, -1, -1):
            strides[i] = strides[i + 1] * shape[i + 1]
        return tuple(strides)

View on GitHub (pinned to 39ea8a1c6d)

When it happens

Trigger: Thrown at phases/01-math-foundations/12-tensor-operations/code/tensors.py:37 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/9c71f69931ec6b28. Report an issue: GitHub.