eazygrad.ones¶ eazygrad.ones(*shape: int, requires_grad: bool = False, dtype: Any = numpy.float32) → _Tensor[source]¶ Return a tensor filled with ones. Parameters: *shape (int) – Output shape. requires_grad (bool, default=False) – Whether to track gradients for the returned tensor. dtype (numpy.dtype or type, default=numpy.float32) – Output dtype. Returns: _Tensor – Tensor filled with ones. See also torch.ones