ttnn.fill_ones_rm

ttnn.fill_ones_rm = Operation(python_fully_qualified_name='ttnn.fill_ones_rm', function=<ttnn._ttnn.operations.data_movement.fill_ones_rm_t object>, preprocess_golden_function_inputs=<function default_preprocess_golden_function_inputs>, golden_function=None, postprocess_golden_function_outputs=<function default_postprocess_golden_function_outputs>, is_cpp_operation=True, is_experimental=False)

Same as fill_rm, but val_hi is set to 1 and val_lo is 0.

Argument	Description	Data type	Valid range	Required
N	Batch count of output tensor	int	N > 0	Yes
C	Channel count of output tensor	int	C > 0	Yes
H	Height count of output tensor	int	H > 0	Yes
W	Width count of output tensor	int	W > 0	Yes
hOnes	Height of high values region	int	hOnes <= H	Yes
wOnes	Width of high values region	int	wOnes <= W	Yes
any	Any input tensor with desired device and data types for output tensor	tt_lib.tensor.Tensor		Yes

Parameters:

• N (number) – Batch count of output tensor.

• C (number) – Channel count of output tensor.

• H (number) – Height count of output tensor.

• W (number) – Width count of output tensor.

• hOnes (number) – Height of high values region.

• wOnes (number) – Width of high values region.

• any (ttnn.tensor) – Any input tensor with desired device and data types for output tensor. value greater than 0

Keyword Arguments:

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

• queue_id (int, optional) – command queue id. Defaults to 0.

Returns:

ttnn.Tensor – the output tensor.