Skip to content

Fix the keras.sparse_categorical_crossentropy. (#985) #987

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Oceania2018 merged 1 commit into from
Feb 18, 2023
Merged

Fix the keras.sparse_categorical_crossentropy. (#985) #987

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 7 additions & 0 deletions src/TensorFlowNET.Keras/Losses/SparseCategoricalCrossentropy.cs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,13 @@ public override Tensor Apply(Tensor target, Tensor output, bool from_logits = fa
{
target = tf.cast(target, dtype: TF_DataType.TF_INT64);

if (!from_logits)
{
var epsilon = tf.constant(KerasApi.keras.backend.epsilon(), output.dtype);
output = tf.clip_by_value(output, epsilon, 1 - epsilon);
output = tf.log(output);
}

// Try to adjust the shape so that rank of labels = rank of logits - 1.
var output_shape = array_ops.shape_v2(output);
var output_rank = output.shape.ndim;
Expand Down