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3955ddd888
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Implement Inception block D
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2024-05-27 21:30:42 +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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94a16b4352
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Add padding to max pooling
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2024-05-26 19:03:10 +02:00 |
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4a67b708f0
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Add padding to avg pooling
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2024-05-26 18:54:12 +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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10e73638b6
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Add non square pooling and batch norm tests
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2024-05-20 22:16:00 +02:00 |
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6dca8ccd3c
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Unify 2d layer naming
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2024-05-20 16:23:58 +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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6f8b5f4081
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Rename batchnorm
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2024-05-20 13:05:48 +02:00 |
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33d4a43dca
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Update concat layer
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2024-05-19 20:21:13 +02:00 |
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4a1c4a5f91
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Add epsilon param to batch norm
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2024-05-19 15:13:22 +02:00 |
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5c8d3f7e25
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Compute mean and variance
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2024-04-29 20:55:11 +02:00 |
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f60d62f6bd
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Implement batch norm layer
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2024-04-28 19:58:00 +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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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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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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18522c2dea
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Cleanup and refactor
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2024-04-11 22:52:41 +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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9482d7bc43
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Add model predict test
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2024-03-22 22:31:32 +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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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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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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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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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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aac0c3a826
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Implement concat layer
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2024-03-17 21:38:29 +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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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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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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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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f37320594a
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Add activations enum
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2024-03-03 15:24:54 +01:00 |
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48ba09b28d
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Format source code using clang-format
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2024-02-27 18:52:12 +01:00 |
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