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9a6152469a
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Update activation test
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2024-04-21 14:00:43 +02:00 |
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942ee6a32b
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Add layer name to vector
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2024-04-21 12:20:02 +02:00 |
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0170afaf3f
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Improve cuda error handling
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2024-04-21 12:19:19 +02:00 |
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d64a28bc9c
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Fix model weights export
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2024-04-21 00:05:56 +02:00 |
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9c5d853b75
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Fix bin file seek offset
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2024-04-20 21:30:01 +02:00 |
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5e663b9029
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Fix bias in conv layer
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2024-04-20 19:09:00 +02:00 |
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d08567a563
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Fix weigh bias parsing and better error logging
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2024-04-20 18:36:53 +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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432adf57bd
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Test model weights loading
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2024-04-16 21:07:06 +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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f4ae45f867
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Start implementing weights import
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2024-04-15 22:17:48 +02:00 |
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b20ade27d8
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Implement model destructor
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2024-04-14 00:05:57 +02:00 |
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53c976733b
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Refactor model test
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2024-04-14 00:05:32 +02:00 |
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18522c2dea
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Cleanup and refactor
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2024-04-11 22:52:41 +02:00 |
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4b9d123e94
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Implement device vector utils
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2024-04-11 22:22:33 +02:00 |
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710a33bdde
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Move softmax partial kernels to matmul
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2024-04-11 22:01:47 +02:00 |
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bc86ed1782
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Add activation to pooling layers
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2024-04-11 19:50:54 +02:00 |
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e86e04f6d6
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Add clearing kernel
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2024-04-11 19:49:09 +02:00 |
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b49dddf34a
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Improve softmax numerical stability
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2024-04-08 23:25:46 +02:00 |
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e419a93408
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Fix softmax sum kernel
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2024-04-08 22:09:18 +02:00 |
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7bc329a043
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Add more softmax tests
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2024-03-22 22:32:08 +01:00 |
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87db47089e
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Add output layer to model predict
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2024-03-21 23:22:12 +01:00 |
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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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a9d0a0832a
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Change model input layer creation
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2024-03-21 00:24:49 +01:00 |
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af6838e8ae
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Initial model implementation
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2024-03-20 22:31:39 +01:00 |
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6f4cdf3792
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Implement avg pool test
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2024-03-20 21:57:22 +01:00 |
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dfff0360d9
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Implement max pooling test
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2024-03-20 21:44:04 +01:00 |
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c062e89972
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Use 3d memory layout for pooling
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2024-03-20 19:21:30 +01:00 |
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5860faf85e
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Use 3d memory layout for convolution
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2024-03-20 19:15:27 +01:00 |
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ef63cbd9f1
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Implement avg pooling
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2024-03-19 22:33:43 +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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364715ff70
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Refactor kernels
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2024-03-19 21:37:25 +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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8d14b74f66
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Implement Add layer
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2024-03-18 20:37:13 +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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e6d3757312
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Change unsigned int to int
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2024-03-18 19:40:00 +01:00 |
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aac0c3a826
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Implement concat layer
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2024-03-17 21:38:29 +01:00 |
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cbdb4e7707
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Test softmax
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2024-03-17 19:08:16 +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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dc86cddeb7
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Use tiling shmem for mat vec mul kernel
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2024-03-15 23:33:09 +01:00 |
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77004c16be
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Use shared memory for mat vec mul kernel
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2024-03-13 22:13:11 +01:00 |
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708164e4d0
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Implement simple input layer
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2024-03-12 21:16:46 +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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a3973f0b21
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Add activation to conv2d
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2024-03-11 21:05:38 +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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4f3c4f1afb
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Fix conv2d kernel dims
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2024-03-09 22:55:37 +01:00 |
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