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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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07f231a30b
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Switch padding kernel to row major
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2024-03-05 21:04:11 +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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7e4460cc5e
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Implement padding kernel
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2024-03-03 15:24:39 +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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0f0e57b819
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Update ReLU test
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2024-02-28 21:45:52 +01:00 |
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e267f08a2f
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Format code
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2024-02-27 21:49:05 +01:00 |
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19ee20ea66
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Add dense sigmoid test
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2024-02-27 21:48:08 +01:00 |
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9747abe53e
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Fix dense layer forward prop
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2024-02-27 21:47:46 +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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fb454de053
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Update lint.yaml
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2024-02-27 11:17:01 +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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d3520d5b13
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Add lint action
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2024-02-21 22:11:48 +01:00 |
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6436544a1b
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Remove codeql workflow
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2024-02-21 22:06:52 +01:00 |
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908b9fd375
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Use gtest cmake vars
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2024-02-21 21:54:36 +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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15c0cd30f0
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Add googletest step to codeql workflow
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2024-02-19 22:38:29 +01:00 |
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dbc206d18c
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Fix unit weight matrix test
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2024-02-19 22:27:21 +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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4b6fff9bfd
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Improve test dense
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2024-02-18 13:12:49 +01:00 |
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ee1a8cc6e6
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Set up basic tests with gtest
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2024-02-17 23:07:26 +01:00 |
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f541e2f7f8
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Set up cmake to compile library
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2024-02-17 23:07:09 +01:00 |
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ac18768297
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Enable debug logging
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2024-02-14 16:31:04 +01:00 |
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5d6a241b5c
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Run on Ubuntu 20.04
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2024-02-14 16:15:03 +01:00 |
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9f8f0776af
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Create codeql.yml
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2024-02-14 12:05:15 +01:00 |
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22e33a395b
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Initialize and use cuBLAS properly
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2024-02-10 17:17:07 +01:00 |
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3e6b7dc7e6
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Implement to_cuda function
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2024-02-09 19:18:30 +01:00 |
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6645cd31ba
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Fix issues with cuda memory allocation
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2024-02-09 18:18:02 +01:00 |
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950021389c
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Start dense layer implementation
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2024-02-08 19:19:51 +01:00 |
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b16ec69469
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Initial CUDA test
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2024-02-07 21:14:46 +01:00 |
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009116ddb5
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Initial commit
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2024-02-07 20:06:30 +01:00 |
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