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Correct minor issue in the guide "Understanding masking & padding" #1904

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Correct minor issue in the guide "Understanding masking & padding" #1904

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2ea5489
Update understanding_masking_and_padding.md
palc001 Aug 1, 2024
73541a4
Update understanding_masking_and_padding.ipynb
palc001 Aug 1, 2024
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4 changes: 2 additions & 2 deletions guides/ipynb/understanding_masking_and_padding.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -526,7 +526,7 @@
" broadcast_float_mask = tf.expand_dims(tf.cast(mask, \"float32\"), -1)\n",
" inputs_exp = tf.exp(inputs) * broadcast_float_mask\n",
" inputs_sum = tf.reduce_sum(\n",
" inputs_exp * broadcast_float_mask, axis=-1, keepdims=True\n",
" inputs_exp * broadcast_float_mask, axis=1, keepdims=True\n",
" )\n",
" return inputs_exp / inputs_sum\n",
"\n",
Expand Down Expand Up @@ -594,4 +594,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
2 changes: 1 addition & 1 deletion guides/md/understanding_masking_and_padding.md
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Expand Up @@ -418,7 +418,7 @@ class TemporalSoftmax(keras.layers.Layer):
broadcast_float_mask = tf.expand_dims(tf.cast(mask, "float32"), -1)
inputs_exp = tf.exp(inputs) * broadcast_float_mask
inputs_sum = tf.reduce_sum(
inputs_exp * broadcast_float_mask, axis=-1, keepdims=True
inputs_exp * broadcast_float_mask, axis=1, keepdims=True
)
return inputs_exp / inputs_sum

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