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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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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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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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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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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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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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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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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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e51aabc2f2
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Initial cuda conv kernel implementation
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2024-03-08 23:35:54 +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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98ad84c659
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Add matrix math kernels
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2024-03-05 17:38:46 +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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019ccc33d9
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Start implementing padding kernel
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2024-02-29 22:21:48 +01:00 |
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045359cca2
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Remove not needed code
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2024-02-29 22:21:32 +01:00 |
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b1eb8b5806
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Add activations test
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2024-02-27 20:19:17 +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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5e1e0ed1d1
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Initial activations implementation
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2024-02-27 00:24:57 +01:00 |
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6e99525ad0
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Rename hheader files to .cuh
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2024-02-26 19:53:46 +01:00 |
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035f3b053b
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Rename files to .cu and fix IDX2C usage
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2024-02-21 20:03:04 +01:00 |
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02fc9e4e8b
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Use IDX2C macro properly
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2024-02-19 22:26:54 +01:00 |
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