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[ENH] Store hard and soft losses as Python scalars instead of 0-dimensional NumPy arrays #3

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ulupo opened this issue May 14, 2024 · 0 comments · Fixed by #4
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[ENH] Store hard and soft losses as Python scalars instead of 0-dimensional NumPy arrays #3

ulupo opened this issue May 14, 2024 · 0 comments · Fixed by #4
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breaking Backward-incompatible changes enhancement New feature or request
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0.1.1

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ulupo commented May 14, 2024

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@ulupo ulupo added the enhancement New feature or request label May 14, 2024
@ulupo ulupo self-assigned this May 14, 2024
@ulupo ulupo changed the title Store hard and soft losses as Python scalars instead of 0-dimensional NumPy array [ENH] Store hard and soft losses as Python scalars instead of 0-dimensional NumPy arrays May 14, 2024
@ulupo ulupo added the breaking Backward-incompatible changes label May 14, 2024
@ulupo ulupo added this to the 0.1.1 milestone May 14, 2024
ulupo added a commit to ulupo/DiffPaSS that referenced this issue May 14, 2024
@ulupo
Fix Bitbol-Lab#3
767c808 
Use .item() instead of dccn for losses. Change type annotations accordingly.
@ulupo ulupo mentioned this issue May 14, 2024
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@ulupo ulupo closed this as completed in #4 May 14, 2024
ulupo added a commit that referenced this issue May 14, 2024
@ulupo
Fix #3 (#4)
c26b106 
Use .item() instead of dccn for losses. Change type annotations accordingly.
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breaking Backward-incompatible changes enhancement New feature or request
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[ENH] Store losses as Python scalars instead of 0-dim NumPy arrays ulupo/DiffPaSS
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