|
|
757584544c
|
Migrate conv2d layer
|
2024-09-10 21:19:50 +02:00 |
|
|
|
74f49d6a00
|
Migrate output layer
|
2024-09-10 19:20:00 +02:00 |
|
|
|
f7b525e494
|
Migrate input layer
|
2024-09-10 19:11:21 +02:00 |
|
|
|
fe7c16ac36
|
Migrate concat layer
|
2024-09-09 22:16:22 +02:00 |
|
|
|
a0665fb05c
|
Migrate max pooling
|
2024-09-09 21:48:36 +02:00 |
|
|
|
76e5225001
|
Migrate avg pooling
|
2024-09-09 21:36:13 +02:00 |
|
|
|
75475790ac
|
Migrate Dense layer
|
2024-09-08 13:36:53 +02:00 |
|
|
|
0dca8348bd
|
Migrate Activation layer
|
2024-09-08 12:49:13 +02:00 |
|
|
|
f8220f0ec1
|
Restructure cuda backend
|
2024-09-05 22:23:47 +02:00 |
|
|
|
bc9bff10cd
|
Load running mean and var from weight file
|
2024-08-25 19:33:33 +02:00 |
|
|
|
9704d0d53e
|
Add running mean and running var to batchnorm
|
2024-08-25 19:05:10 +02:00 |
|
|
|
8168f02f58
|
Add adaptive avg pooling
|
2024-05-30 17:17:31 +02:00 |
|
|
|
3955ddd888
|
Implement Inception block D
|
2024-05-27 21:30:42 +02:00 |
|
|
|
df47a31f36
|
Rename dim2d to shape2d
|
2024-05-27 21:14:51 +02:00 |
|
|
|
94a16b4352
|
Add padding to max pooling
|
2024-05-26 19:03:10 +02:00 |
|
|
|
4a67b708f0
|
Add padding to avg pooling
|
2024-05-26 18:54:12 +02:00 |
|
|
|
cba177e417
|
Add getOutputDims to 2d layers
|
2024-05-26 14:28:43 +02:00 |
|
|
|
10e73638b6
|
Add non square pooling and batch norm tests
|
2024-05-20 22:16:00 +02:00 |
|
|
|
6dca8ccd3c
|
Unify 2d layer naming
|
2024-05-20 16:23:58 +02:00 |
|
|
|
74098b24e3
|
Add support for non square matrices
|
2024-05-20 15:20:43 +02:00 |
|
|
|
6f8b5f4081
|
Rename batchnorm
|
2024-05-20 13:05:48 +02:00 |
|
|
|
33d4a43dca
|
Update concat layer
|
2024-05-19 20:21:13 +02:00 |
|
|
|
4a1c4a5f91
|
Add epsilon param to batch norm
|
2024-05-19 15:13:22 +02:00 |
|
|
|
5c8d3f7e25
|
Compute mean and variance
|
2024-04-29 20:55:11 +02:00 |
|
|
|
f60d62f6bd
|
Implement batch norm layer
|
2024-04-28 19:58:00 +02:00 |
|
|
|
f17debc244
|
Implement getOutputSize and getInputSize for seq layers
|
2024-04-22 20:31:58 +02:00 |
|
|
|
a32c737785
|
Allocate activation on heap
|
2024-04-22 18:59:16 +02:00 |
|
|
|
d08567a563
|
Fix weigh bias parsing and better error logging
|
2024-04-20 18:36:53 +02:00 |
|
|
|
ecf7416f8e
|
Rework padding size setting
|
2024-04-20 16:31:28 +02:00 |
|
|
|
9fb9d7e8e1
|
Implement getting layer, weights and biases
|
2024-04-16 19:09:41 +02:00 |
|
|
|
18522c2dea
|
Cleanup and refactor
|
2024-04-11 22:52:41 +02:00 |
|
|
|
b49dddf34a
|
Improve softmax numerical stability
|
2024-04-08 23:25:46 +02:00 |
|
|
|
9482d7bc43
|
Add model predict test
|
2024-03-22 22:31:32 +01:00 |
|
|
|
90fb104dae
|
Implement output layer
|
2024-03-21 23:07:46 +01:00 |
|
|
|
af6838e8ae
|
Initial model implementation
|
2024-03-20 22:31:39 +01:00 |
|
|
|
6f4cdf3792
|
Implement avg pool test
|
2024-03-20 21:57:22 +01:00 |
|
|
|
dfff0360d9
|
Implement max pooling test
|
2024-03-20 21:44:04 +01:00 |
|
|
|
ef63cbd9f1
|
Implement avg pooling
|
2024-03-19 22:33:43 +01:00 |
|
|
|
a0fc1b00ae
|
Implement max pooling layer
|
2024-03-19 22:04:58 +01:00 |
|
|
|
b6c4b7d2ae
|
Refactor layers
|
2024-03-19 21:35:05 +01:00 |
|
|
|
8d14b74f66
|
Implement Add layer
|
2024-03-18 20:37:13 +01:00 |
|
|
|
d9c6c663c8
|
Rename ILayer to WeightedLayer
|
2024-03-18 20:36:52 +01:00 |
|
|
|
6cf604423a
|
Combine padding and conv kernel
|
2024-03-18 19:53:40 +01:00 |
|
|
|
aac0c3a826
|
Implement concat layer
|
2024-03-17 21:38:29 +01:00 |
|
|
|
42d646750b
|
Abstract activation and implement softmax
|
2024-03-17 18:37:15 +01:00 |
|
|
|
0c22fac64e
|
Add toplevel CUDANet namespace
|
2024-03-17 16:08:53 +01:00 |
|
|
|
dc86cddeb7
|
Use tiling shmem for mat vec mul kernel
|
2024-03-15 23:33:09 +01:00 |
|
|
|
88f7fff217
|
Add prefix to guards
|
2024-03-13 22:23:23 +01:00 |
|
|
|
7157a27e56
|
Add documentation comments
|
2024-03-12 21:50:06 +01:00 |
|
|
|
708164e4d0
|
Implement simple input layer
|
2024-03-12 21:16:46 +01:00 |
|