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#8144: Fix ttnn logical_not doc #8352

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#8144: Fix ttnn logical_not doc #8352

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4 changes: 2 additions & 2 deletions docs/source/ttnn/ttnn/ttnn/logical_not.rst
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
.. _ttnn.logical_not:

ttnn.logical_not
######################
logical_not
#################

.. autofunction:: ttnn.logical_not
16 changes: 13 additions & 3 deletions tests/ttnn/sweep_tests/sweeps/logical_not.py
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Expand Up @@ -16,14 +16,24 @@
"batch_sizes": [(1,)],
"height": [384, 1024],
"width": [1024, 4096],
"input_dtype": [ttnn.bfloat16],
"input_dtype": [ttnn.bfloat16, ttnn.bfloat8_b],
"input_memory_config": [ttnn.DRAM_MEMORY_CONFIG],
"output_memory_config": [ttnn.DRAM_MEMORY_CONFIG],
"layout": [ttnn.TILE_LAYOUT],
"layout": [ttnn.TILE_LAYOUT, ttnn.ROW_MAJOR_LAYOUT],
}


def skip(**_) -> Tuple[bool, Optional[str]]:
def skip(
batch_sizes,
height,
width,
input_dtype,
input_memory_config,
output_memory_config,
layout,
) -> Tuple[bool, Optional[str]]:
if input_dtype == ttnn.bfloat8_b:
return True, "Not Supported"
return False, None


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6 changes: 5 additions & 1 deletion ttnn/ttnn/operations/unary.py
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Expand Up @@ -42,11 +42,15 @@ def _golden_function(input_tensor: ttnn.Tensor, **_):
return torch_function(input_tensor)

def _unary_validate_input_tensors(operation_name, input_tensor, *args, **kwargs):
if operation_name in ["ttnn.logical_not"]:
supported_dtypes = (ttnn.bfloat16,)
else:
supported_dtypes = (ttnn.bfloat16, ttnn.bfloat8_b)
ttnn.validate_input_tensor(
operation_name,
input_tensor,
ranks=(2, 3, 4),
dtypes=(ttnn.bfloat16, ttnn.bfloat8_b),
dtypes=supported_dtypes,
layouts=(ttnn.TILE_LAYOUT, ttnn.ROW_MAJOR_LAYOUT),
can_be_on_device=True,
can_be_on_cpu=False,
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