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Upsample2d (#414)
Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com> Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
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@@ -11,7 +11,7 @@ MLX was developed with contributions from the following individuals:
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- Juarez Bochi: Fixed bug in cross attention.
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- Justin Deschenaux: Sine, Cosine, arange, randint, truncated normal, bernoulli, lion optimizer, Dropout2d, linear and logistic regression python example.
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- Diogo Da Cruz: Added `tri`, `tril`, `triu`, `tensordot`, `inner`, `outer`, `tile`, `StreamContext`, `stream` and safetensor support.
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- Gabrijel Boduljak: Added `mlx.core.linalg`, implemented `norm` method and `InstanceNorm` layer. Implemented ``MaxPool1d``, ``MaxPool2d``, ``AvgPool1d``, ``AvgPool2d``.
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- Gabrijel Boduljak: Added `mlx.core.linalg`, implemented `norm` method and `InstanceNorm` layer. Implemented pooling layers and ``Upsample``.
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- Hinrik Snær Guðmundsson: Added `atleast_1d`, `atleast_2d`, `atleast_3d` ops.
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<a href="https://github.com/ml-explore/mlx/graphs/contributors">
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@@ -253,4 +253,4 @@ Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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limitations under the License.
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