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30b355ccd2
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Simplify the narrow implementation.
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2023-06-28 13:09:59 +01:00 |
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c1bbbf94f6
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Start refactoring the stride.
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2023-06-28 12:57:30 +01:00 |
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7938d2b848
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Add the grad for narrow.
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2023-06-28 10:46:00 +01:00 |
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615196e7be
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Add more gradients.
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2023-06-28 09:59:52 +01:00 |
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1ce3843cab
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Add the relu op.
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2023-06-28 09:38:54 +01:00 |
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19183b8e4f
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Factor out the gemm bits.
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2023-06-28 08:51:13 +01:00 |
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0417d9cec8
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Add more cuda testing again.
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2023-06-28 08:33:43 +01:00 |
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395c84e80a
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Also run the backprop tests on cuda.
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2023-06-28 08:15:03 +01:00 |
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b0f5f2d22d
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Add some display tests + bugfixes.
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2023-06-27 21:37:28 +01:00 |
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8c81a70170
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PyTorch like display implementation.
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2023-06-27 21:16:35 +01:00 |
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934655a60d
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Add squeeze/unsqueeze/stack.
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2023-06-27 19:32:00 +01:00 |
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1d504cc6b3
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Rework the debug trait.
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2023-06-27 19:10:30 +01:00 |
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684f66326d
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Add the get method.
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2023-06-27 17:39:58 +01:00 |
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c44e5346f4
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Add some helper functions.
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2023-06-27 17:37:09 +01:00 |
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dbe3e4e7c0
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Add some test utils module.
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2023-06-27 16:20:28 +01:00 |
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e221d38819
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Factor the slicing code in cuda.
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2023-06-27 15:45:59 +01:00 |
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07a682c2ff
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Run the tensor tests for the cuda backend too.
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2023-06-27 15:37:01 +01:00 |
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ca6aa8ff12
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Use num-cpus to enable parallelism.
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2023-06-27 14:42:26 +01:00 |
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318503cd38
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Cache the causal mask in llama.
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2023-06-27 12:21:08 +01:00 |
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380d61e990
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Fix two cuda bugs (matmul and where_cond).
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2023-06-27 11:31:04 +01:00 |
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d7f729fb8f
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Refactor the hierarchy.
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2023-06-27 11:57:27 +02:00 |
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