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Results 1 - 9 of 9 for Quantize (0.28 sec)
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RELEASE.md
`inference_output_type` for full integer quantized models. This allows users to modify the model input and output type to integer types (`tf.int8`, `tf.uint8`) instead of defaulting to float type (`tf.float32`). * NNAPI * Adds NNAPI Delegation support for requantization use cases by converting the operation into a dequantize-quantize pair.Registered: Tue Dec 30 12:39:10 UTC 2025 - Last Modified: Tue Oct 28 22:27:41 UTC 2025 - 740.4K bytes - Viewed (3) -
android/guava/src/com/google/common/math/Quantiles.java
private final int scale; private Scale(int scale) { checkArgument(scale > 0, "Quantile scale must be positive"); this.scale = scale; } /** * Specifies a single quantile index to be calculated, i.e. the k in the kth q-quantile. * * @param index the quantile index, which must be in the inclusive range [0, q] for q-quantiles */Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Mon Mar 17 20:26:29 UTC 2025 - 30.1K bytes - Viewed (0) -
docs/fr/docs/benchmarks.md
* Si on compare Uvicorn, il faut le comparer à d'autre applications de serveurs comme Daphne, Hypercorn, uWSGI, etc. * **Starlette** :
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Thu Jul 27 18:49:56 UTC 2023 - 3.9K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/QuantilesAlgorithm.java
import org.jspecify.annotations.NullUnmarked; /** * Enumerates several algorithms providing equivalent functionality to {@link Quantiles}, for use in * {@link QuantilesBenchmark}. These algorithms each calculate either a single quantile or multiple * quantiles. All algorithms modify the dataset they are given (the cost of a copy to avoid this * will be constant across algorithms). * * @author Pete Gillin * @since 20.0 */ @NullUnmarkedRegistered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Thu Dec 19 18:03:30 UTC 2024 - 7.1K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/QuantilesTest.java
return (lowerValue + upperValue) / 2.0; } } public void testPercentiles_index_compute_doubleCollection() { for (int index = 0; index <= 100; index++) { assertWithMessage("quantile at index %s", index) .that(percentiles().index(index).compute(PSEUDORANDOM_DATASET)) .isWithin(ALLOWED_ERROR) .of(expectedLargeDatasetPercentile(index)); } }
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Thu Dec 11 20:45:32 UTC 2025 - 29.8K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/QuantilesTest.java
return (lowerValue + upperValue) / 2.0; } } public void testPercentiles_index_compute_doubleCollection() { for (int index = 0; index <= 100; index++) { assertWithMessage("quantile at index %s", index) .that(percentiles().index(index).compute(PSEUDORANDOM_DATASET)) .isWithin(ALLOWED_ERROR) .of(expectedLargeDatasetPercentile(index)); } }
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Thu Dec 11 20:45:32 UTC 2025 - 29.8K bytes - Viewed (0) -
docs/fr/docs/features.md
### Testé * 100% <abbr title="La quantité de code qui est testé automatiquement">de couverture de test</abbr>.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Oct 11 17:48:49 UTC 2025 - 11.1K bytes - Viewed (0) -
docs/fr/docs/async.md
Cela prendrait autant de temps pour finir avec ou sans sections (concurrence) et vous auriez effectué la même quantité de travail.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 25.4K bytes - Viewed (0) -
api/go1.2.txt
pkg image/draw, type Drawer interface { Draw } pkg image/draw, type Drawer interface, Draw(Image, image.Rectangle, image.Image, image.Point) pkg image/draw, type Quantizer interface { Quantize } pkg image/draw, type Quantizer interface, Quantize(color.Palette, image.Image) color.Palette pkg image/draw, var FloydSteinberg Drawer pkg image/gif, func Encode(io.Writer, image.Image, *Options) errorRegistered: Tue Dec 30 11:13:12 UTC 2025 - Last Modified: Fri Oct 18 04:36:59 UTC 2013 - 1.9M bytes - Viewed (1)