ttnn.threshold

ttnn.threshold = FastOperation(python_fully_qualified_name='ttnn.threshold', function=<ttnn._ttnn.operations.unary.threshold_t object>, preprocess_golden_function_inputs=<function default_preprocess_golden_function_inputs>, golden_function=<function _golden_function_threshold>, postprocess_golden_function_outputs=<function default_postprocess_golden_function_outputs>, is_cpp_operation=True, is_experimental=False)

Performs threshold function on input_tensor, threshold, value.

Args:

input_tensor (ttnn.Tensor): the input tensor. threshold (float): Threshold value. value (float): Replacing value.

Keyword args:

memory_config (ttnn.MemoryConfig, optional): Memory configuration for the operation. Defaults to None.

Returns:

ttnn.Tensor: the output tensor.

Note:

Supported dtypes, layouts, and ranks:

Dtypes	Layouts	Ranks
BFLOAT16	TILE	2, 3, 4

Example:

>>> tensor = ttnn.from_torch(torch.tensor([[1, 2], [3, 4]], dtype=torch.bfloat16), dtype=ttnn.bfloat16, layout=ttnn.TILE_LAYOUT, device=device)
>>> threshold = 1.0
>>> value = 10.0
>>> output = ttnn.threshold(tensor, threshold, value)