[Docs] Switch to better markdown linting pre-commit hook (#21851)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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@@ -86,6 +86,7 @@ D = s_a s_b \widehat A \widehat B
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```
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Epilogue parameters:
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- `scale_a` is the scale for activations, can be per-tensor (scalar) or per-token (column-vector).
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- `scale_b` is the scale for weights, can be per-tensor (scalar) or per-channel (row-vector).
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@@ -135,7 +136,7 @@ That is precomputed and stored in `azp_with_adj` as a row-vector.
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Epilogue parameters:
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- `scale_a` is the scale for activations, can be per-tensor (scalar) or per-token (column-vector).
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- Generally this will be per-tensor as the zero-points are per-tensor.
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- Generally this will be per-tensor as the zero-points are per-tensor.
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- `scale_b` is the scale for weights, can be per-tensor (scalar) or per-channel (row-vector).
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- `azp_with_adj` is the precomputed zero-point term ($` z_a J_a \widehat B `$), is per-channel (row-vector).
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- `bias` is the bias, is always per-channel (row-vector).
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@@ -152,7 +153,7 @@ That means the zero-point term $` z_a J_a \widehat B `$ becomes an outer product
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Epilogue parameters:
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- `scale_a` is the scale for activations, can be per-tensor (scalar) or per-token (column-vector).
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- Generally this will be per-token as the zero-points are per-token.
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- Generally this will be per-token as the zero-points are per-token.
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- `scale_b` is the scale for weights, can be per-tensor (scalar) or per-channel (row-vector).
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- `azp_adj` is the precomputed zero-point adjustment term ($` \mathbf 1 \widehat B `$), is per-channel (row-vector).
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- `azp` is the zero-point (`z_a`), is per-token (column-vector).
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