github-actions[bot]
f9fcc7adab
date: 2026-06-28T09:48:35 master commit: da6313dbe95b3f24bb5d8018b0e5f950f5823ca7
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
from typing import Self
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from tinygrad.dtype import ConstType, DType
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class CreationMixin:
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def const_like(self, b: ConstType) -> Self: raise NotImplementedError
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def cast(self, dtype: DType) -> Self: raise NotImplementedError
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def full_like(self, fill_value: ConstType, dtype: DType|None=None) -> Self:
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"""Creates a tensor with the same shape as `self`, filled with the given value."""
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return self.const_like(fill_value) if dtype is None else self.const_like(fill_value).cast(dtype)
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def zeros_like(self, **kwargs) -> Self:
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"""
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Creates a tensor with the same shape as `self`, filled with zeros.
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You can pass in `dtype` and `device` keyword arguments to control the data type and device of the tensor.
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```python exec="true" source="above" session="tensor" result="python"
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t = Tensor.ones(2, 3)
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print(Tensor.zeros_like(t).numpy())
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```
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"""
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return self.full_like(0, **kwargs)
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def ones_like(self, **kwargs) -> Self:
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"""
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Creates a tensor with the same shape as `self`, filled with ones.
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You can pass in `dtype` and `device` keyword arguments to control the data type and device of the tensor.
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```python exec="true" source="above" session="tensor" result="python"
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t = Tensor.zeros(2, 3)
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print(Tensor.ones_like(t).numpy())
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```
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"""
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return self.full_like(1, **kwargs)
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