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75475790ac
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Migrate Dense layer
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2024-09-08 13:36:53 +02:00 |
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df47a31f36
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Rename dim2d to shape2d
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2024-05-27 21:14:51 +02:00 |
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cba177e417
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Add getOutputDims to 2d layers
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2024-05-26 14:28:43 +02:00 |
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74098b24e3
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Add support for non square matrices
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2024-05-20 15:20:43 +02:00 |
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f17debc244
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Implement getOutputSize and getInputSize for seq layers
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2024-04-22 20:31:58 +02:00 |
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a32c737785
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Allocate activation on heap
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2024-04-22 18:59:16 +02:00 |
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ecf7416f8e
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Rework padding size setting
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2024-04-20 16:31:28 +02:00 |
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9fb9d7e8e1
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Implement getting layer, weights and biases
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2024-04-16 19:09:41 +02:00 |
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90fb104dae
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Implement output layer
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2024-03-21 23:07:46 +01:00 |
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a0fc1b00ae
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Implement max pooling layer
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2024-03-19 22:04:58 +01:00 |
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b6c4b7d2ae
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Refactor layers
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2024-03-19 21:35:05 +01:00 |
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d9c6c663c8
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Rename ILayer to WeightedLayer
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2024-03-18 20:36:52 +01:00 |
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6cf604423a
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Combine padding and conv kernel
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2024-03-18 19:53:40 +01:00 |
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42d646750b
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Abstract activation and implement softmax
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2024-03-17 18:37:15 +01:00 |
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0c22fac64e
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Add toplevel CUDANet namespace
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2024-03-17 16:08:53 +01:00 |
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88f7fff217
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Add prefix to guards
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2024-03-13 22:23:23 +01:00 |
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7157a27e56
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Add documentation comments
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2024-03-12 21:50:06 +01:00 |
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9d91896f13
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Change forward function to return output pointer
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2024-03-12 20:50:49 +01:00 |
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d2ab78fbc7
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Add Kernels namespace
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2024-03-11 21:04:23 +01:00 |
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e0178e2d5c
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Cleanup and refactor
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2024-03-11 20:39:44 +01:00 |
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f3112311da
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Make conv2d work again
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2024-03-10 19:13:22 +01:00 |
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d177a67cd6
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Add bias to conv2d
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2024-03-09 23:03:23 +01:00 |
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4b6fcbc191
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Implement simple test for host conv2d
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2024-03-08 23:12:04 +01:00 |
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69ccba2dad
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Start conv test implementation
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2024-03-07 22:03:05 +01:00 |
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fc2c1616b4
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Initial cpu conv implementation
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2024-03-07 21:24:59 +01:00 |
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f4257afd5a
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Remove cublas dependency
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2024-03-05 18:41:35 +01:00 |
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cfc5c46d5e
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Initialize conv2d layer
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2024-03-04 22:16:03 +01:00 |
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