zeros_like¶

nvtripy.zeros_like(input: Tensor, dtype: dtype | None = None) → Tensor[source]¶

Creates a Tensor with all elements set to 0 of the same shape as the input tensor.

Parameters:

input (Tensor) – [dtype=T1] The input tensor.
dtype (dtype | None) – [dtype=T2] Datatype of elements. If set to None, the datatype of the input tensor is used.

Returns:

[dtype=T2] A tensor of the same shape as the input with all elements set to 0.

Return type:

Tensor

DATA TYPE CONSTRAINTS:

T1: bool, float8, float16, bfloat16, float32, int8, int32, int64
T2: bool, float16, bfloat16, float32, int8, int32, int64

Example

input = tp.iota([2, 3], dtype=tp.float32)
output = tp.zeros_like(input)

Local Variables¶

>>> input
tensor(
    [[0, 0, 0],
     [1, 1, 1]], 
    dtype=float32, loc=gpu:0, shape=(2, 3))

>>> output
tensor(
    [[0, 0, 0],
     [0, 0, 0]], 
    dtype=float32, loc=gpu:0, shape=(2, 3))