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keras

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  1. 01 7月, 2021 1 次提交
  3. 25 6月, 2021 8 次提交
  5. 24 6月, 2021 9 次提交
  7. 23 6月, 2021 18 次提交
  9. 22 6月, 2021 4 次提交
    • F
      Add prefetching to datasets generated via Keras utility functions. · 72c161e3
      由 Francois Chollet 提交于 
      PiperOrigin-RevId: 380652823
      72c161e3
    • Z
      PR #49292: Update metrics.py: Fix SparseCategoricalAccuracy.update_state() doc string · 4244fba0
      由 Zirui Zhuang 提交于 
      Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/49292

Update metrics.py: Fix SparseCategoricalAccuracy.update_state() doc string

Try fixing issue #49252

For SparseCategoricalAccuracy, `y_true` should be integer labels and `y_pred` should be probabilities.

```
    m = tf.keras.metrics.SparseCategoricalAccuracy()

    m.update_state([[2], [1]], [[0.1, 0.6, 0.3], [0.05, 0.95, 0]])  # Correct usage,  `y_true` as integer labels and `y_pred` as probabilities.
    print(m.result().numpy())
    # >>> 0.5

    m.update_state([[2], [1]], [[1], [1]])  # Wrong usage, both as integer labels.
    print(m.result().numpy())
    # >>> 0.25

    m.update_state([[0, 1, 0], [0, 1, 0]], [[0.1, 0.6, 0.3], [0.05, 0.95, 0]])  # Wrong usage, both as probabilities.
    print(m.result().numpy())
    # >>> Error
```
Copybara import of the project:

--
d6ee4a941b79a464a9b229f6a22be50baab62d4d by Zirui Zhuang <zr.zz.alp@gmail.com>:

Update metrics.py

Fix SparseCategoricalAccuracy.update_state() doc string

--
9410d39d0a9f850c4fb615a1d8b607f1b75d80c3 by Zirui Zhuang <zr.zz.alp@gmail.com>:

Update tensorflow/python/keras/metrics.py

correction on the description of y_true
--
57dbe0fd01d3d4548f3453013177e49073edb463 by Zirui Zhuang <zr.zz.alp@gmail.com>:

Update tensorflow/python/keras/metrics.py

explicitly return
--
8d83bffd4776bbfad12a4e2669e8e30f7a26d3a7 by Zirui Zhuang <zr.zz.alp@gmail.com>:

Update tensorflow/python/keras/metrics.py

correction on dimension annotation
--
d064d6e41d2f3fad390e82eea6b4edc6b9c46558 by Zirui Zhuang <zr.zz.alp@gmail.com>:

Update metrics.py

reuse update_state docstring by using inheritance

--
2b7f4d924251a67a65953b1f83a0499986ee1475 by Zirui Zhuang <zr.zz.alp@gmail.com>:

Revert "Update metrics.py"

This reverts commit d064d6e41d2f3fad390e82eea6b4edc6b9c46558.

--
7e718e6538e72d125bc5edc857c15fc2053877a2 by Zirui Zhuang <zr.zz.alp@gmail.com>:

Update metrics.py

using private string UPDATE_STATE_DOCSTRING

PiperOrigin-RevId: 380647901
      4244fba0
    • Y
      Re-enable broken hashing tests. · 8351b87a
      由 Yash Katariya 提交于 
      PiperOrigin-RevId: 380646732
      8351b87a
    • M
      Port keras lookup layers to new adapt, use a StaticHashTable during call · fe31a34a
      由 Matt Watson 提交于 
      This is a significant refactor of the internals of the layer, which will break
SavedModel compatibility with previous versions. The usage of the layer will
remain the same, so a compatible layer should be generatable from the same
training script.

This refactor has the following advantages:
 - Static tables can be distributed to end workers in a multi-worker setting
   allowing more efficient distributed training.
 - File based vocabularies will only be scanned once.
 - Static vocabularies passed on init will be consistently clonable with the
   layer config, rather than clonable only in the file based case.

We now consistently enforce that a vocabulary must be set when calling the
layer on anything besides a keras.Input.

PiperOrigin-RevId: 380645230
      fe31a34a