ttnn.tril
- ttnn.tril = FastOperation(python_fully_qualified_name='ttnn.tril', function=<ttnn._ttnn.operations.unary.tril_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)
Returns the lower triangular part of
input_tensorby zeroing out elements above the specifieddiagonal. Elements on and below the givendiagonalare preserved, while elements above it are set to zero.diagonal = 0selects the main diagonal (keeps elements on and below the main diagonal)diagonal > 0selects a diagonal above the main diagonal (keeps more elements)diagonal < 0selects a diagonal below the main diagonal (keeps fewer elements)
\[\mathrm{{output\_tensor}}_i = \verb|tril|(\mathrm{{input\_tensor}}_i, \mathrm{diagonal})\]- Parameters:
input_tensor (ttnn.Tensor) – the input tensor.
- Keyword Arguments:
diagonal (int, optional) – diagonal value. Defaults to 0.
memory_config (ttnn.MemoryConfig, optional) – memory configuration for the operation. Defaults to None.
- Returns:
ttnn.Tensor – the output tensor.
Note
Supported dtypes and layouts:
Dtypes
Layouts
FLOAT32, BFLOAT16, BFLOAT8_B
TILE, ROW_MAJOR