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add repr infomation for layer_norm and rms_norm #220

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merged 6 commits into from
Sep 7, 2024
Merged

add repr infomation for layer_norm and rms_norm #220

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e6a09d9
add repr infomation for layer_norm and rms_norm
wizyoung Sep 6, 2024
72f0ddb
Merge branch 'main' into add_class_repr
ByronHsu Sep 6, 2024
85441f5
Merge branch 'main' into add_class_repr
lancerts Sep 6, 2024
115001b
fix checkstyple
wizyoung Sep 7, 2024
88c39bf
Merge branch 'main' into add_class_repr
lancerts Sep 7, 2024
8b2afb1
Merge branch 'main' into add_class_repr
lancerts Sep 7, 2024
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5 changes: 5 additions & 0 deletions src/liger_kernel/transformers/layer_norm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,8 @@ def __init__(self, hidden_size, eps=1e-6, bias=False, init_fn="ones"):
"ones",
"zeros",
], f"init_fn must be either 'ones' or 'zeros', got {init_fn}"
self.hidden_size = hidden_size
self.eps = eps
self.weight = nn.Parameter(
torch.ones(hidden_size) if init_fn == "ones" else torch.zeros(hidden_size)
)
Expand All @@ -23,3 +25,6 @@ def forward(self, hidden_states):
return LigerLayerNormFunction.apply(
hidden_states, self.weight, self.bias, self.variance_epsilon
)

def extra_repr(self) -> str:
return f'{self.hidden_size}, eps={self.eps}'
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why no weight here?

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This is in line with nn.LayerNorm whose extra_repr is:

def extra_repr(self) -> str:
        return '{normalized_shape}, eps={eps}, ' \
            'elementwise_affine={elementwise_affine}'.format(**self.__dict__)

For rms_norm, it is in line with huggingface transformers.

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Do we need to keep them consistent here?

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oh sg

3 changes: 3 additions & 0 deletions src/liger_kernel/transformers/rms_norm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,3 +30,6 @@ def forward(self, hidden_states):
self.offset,
self.casting_mode,
)

def extra_repr(self):
return f"{tuple(self.weight.shape)}, eps={self.variance_epsilon}, offset={self.offset}"
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