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RELEASE.md
* Added `ignore_class` argument in the loss `SparseCategoricalCrossentropy` and metrics `IoU` and `MeanIoU`, to specify a class index to be ignored during loss/metric computation (e.g. a background/void class). * Added [`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization).Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 18:31:38 GMT 2026 - 746.5K bytes - Click Count (3) -
lib/fips140/v1.26.0.zip
7}, crypto.SHA3_256: {2, 16, 840, 1, 101, 3, 4, 2, 8}, crypto.SHA3_384: {2, 16, 840, 1, 101, 3, 4, 2, 9}, crypto.SHA3_512: {2, 16, 840, 1, 101, 3, 4, 2, 10}, } for h, oid := range prefixes { want, err := asn1.Marshal(struct { HashAlgorithm pkix.AlgorithmIdentifier Hash []byte }{ HashAlgorithm: pkix.AlgorithmIdentifier{ Algorithm: oid, Parameters: asn1.NullRawValue, }, Hash: make([]byte, h.Size()), }) if err != nil { t.Fatal(err) } want = want[:len(want)-h.Size()] got := hashPrefixes[h.String()] if...Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Thu Jan 08 17:58:32 GMT 2026 - 660.3K bytes - Click Count (0) -
lib/fips140/v1.0.0-c2097c7c.zip
7}, crypto.SHA3_256: {2, 16, 840, 1, 101, 3, 4, 2, 8}, crypto.SHA3_384: {2, 16, 840, 1, 101, 3, 4, 2, 9}, crypto.SHA3_512: {2, 16, 840, 1, 101, 3, 4, 2, 10}, } for h, oid := range prefixes { want, err := asn1.Marshal(struct { HashAlgorithm pkix.AlgorithmIdentifier Hash []byte }{ HashAlgorithm: pkix.AlgorithmIdentifier{ Algorithm: oid, Parameters: asn1.NullRawValue, }, Hash: make([]byte, h.Size()), }) if err != nil { t.Fatal(err) } want = want[:len(want)-h.Size()] got := hashPrefixes[h.String()] if...Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Thu Sep 25 19:53:19 GMT 2025 - 642.7K bytes - Click Count (0)