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

Unsupported type {type(other)}

Error message

Unsupported type {type(other)}

What it means

Error "Unsupported type {type(other)}" thrown in rohitg00/ai-engineering-from-scratch.

Source

Thrown at phases/01-math-foundations/12-tensor-operations/code/tensors.py:185

        return result

    def flatten(self, start_dim=0, end_dim=-1):
        if end_dim < 0:
            end_dim = self.rank + end_dim
        new_shape = (
            list(self._shape[:start_dim])
            + [reduce(lambda a, b: a * b, self._shape[start_dim:end_dim + 1], 1)]
            + list(self._shape[end_dim + 1:])
        )
        return self.reshape(tuple(new_shape))

    def _elementwise_op(self, other, op):
        if isinstance(other, (int, float)):
            result_data = [op(x, other) for x in self._data]
            return Tensor(result_data, shape=self._shape)
        if not isinstance(other, Tensor):
            raise TypeError(f"Unsupported type {type(other)}")
        if self._shape != other._shape:
            raise ValueError(
                f"Shape mismatch: {self._shape} vs {other._shape}. "
                "Use broadcast() first."
            )
        result_data = [op(a, b) for a, b in zip(self._data, other._data)]
        return Tensor(result_data, shape=self._shape)

    def __add__(self, other):
        return self._elementwise_op(other, lambda a, b: a + b)

    def __mul__(self, other):
        return self._elementwise_op(other, lambda a, b: a * b)

    def __sub__(self, other):
        return self._elementwise_op(other, lambda a, b: a - b)

    def sum(self, axis=None):

View on GitHub (pinned to 39ea8a1c6d)

When it happens

Trigger: Thrown at phases/01-math-foundations/12-tensor-operations/code/tensors.py:185 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/d98fffc895491c62. Report an issue: GitHub.