ttnn.hardtanh

ttnn.hardtanh = Operation(python_fully_qualified_name='ttnn.hardtanh', function=<ttnn._ttnn.operations.unary.hardtanh_t object>, preprocess_golden_function_inputs=<function default_preprocess_golden_function_inputs>, golden_function=<function _golden_function_hardtanh>, postprocess_golden_function_outputs=<function default_postprocess_golden_function_outputs>, is_cpp_operation=True, is_experimental=False)

Performs hardtanh function on input_tensor, min_val, max_val.

Parameters:

  • input_tensor (ttnn.Tensor) – the input tensor.

  • min_val (float) – min value. Defaults to -1.

  • max_val (float) – max value. Defaults to 1.

Keyword Arguments:

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, BFLOAT8_B

TILE

2, 3, 4

Example

>>> tensor = ttnn.from_torch(input, dtype=ttnn.bfloat16, layout=ttnn.TILE_LAYOUT, device=device)
>>> min = 2
>>> max = 8
>>> output = ttnn.hardtanh(tensor, min, max)