ttnn.logical_not

ttnn.logical_not = FastOperation(python_fully_qualified_name='ttnn.logical_not', function=<ttnn._ttnn.operations.unary.logical_not_t object>, preprocess_golden_function_inputs=<function default_preprocess_golden_function_inputs>, golden_function=<function register_ttnn_cpp_unary_function.<locals>._golden_function>, postprocess_golden_function_outputs=<function default_postprocess_golden_function_outputs>, is_cpp_operation=True, is_experimental=False)

Applies logical_not to input_tensor element-wise.

\[\mathrm{{output\_tensor}}_i = \mathrm{{!input\_tensor_i}}\]
Parameters:

input_tensor (ttnn.Tensor) – the input tensor.

Keyword Arguments:

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

  • output_tensor (ttnn.Tensor, optional) – preallocated output tensor. Defaults to None.

  • sub_core_grids (ttnn.CoreRangeSet, optional) – sub core grids for the operation. Defaults to None.

Returns:

ttnn.Tensor – the output tensor.

Note

Supported dtypes and layouts:

Dtypes

Layouts

BFLOAT16, BFLOAT8_B, FLOAT32, INT32, UINT16 (range: 0 - 65535), UINT32 (range: 0 - 4294967295)

TILE, ROW_MAJOR