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b50bd880ce
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Only narrow when needed + deactivate the kv cache.
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2023-06-29 19:07:52 +01:00 |
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3232df9458
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Add some KV cache to llama.
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2023-06-29 15:29:40 +01:00 |
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889f7e0971
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Merge pull request #39 from LaurentMazare/anyhow-backtrace
Add backtraces.
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2023-06-29 13:17:53 +01:00 |
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e27ee98d3f
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Add backtraces.
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2023-06-29 13:17:20 +01:00 |
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78ec40b077
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Typo.
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2023-06-29 12:09:53 +00:00 |
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de48e6fd59
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Putting back main.
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2023-06-29 12:08:35 +00:00 |
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0958c588f6
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Putting back seed.
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2023-06-29 12:07:21 +00:00 |
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c5e8f788be
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Revert some changes.
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2023-06-29 12:05:53 +00:00 |
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e63ed6aaa3
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Remove unwrap.
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2023-06-29 12:04:25 +00:00 |
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2fe1d3e36d
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Moving llama to f16.
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2023-06-29 12:00:16 +00:00 |
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b4dc9f6108
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Add a seed parameter to llama.
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2023-06-29 12:47:19 +01:00 |
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53628db3a9
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Merge pull request #36 from LaurentMazare/fix_example
Simple example fix.
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2023-06-29 13:36:05 +02:00 |
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1913512f42
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Simple example fix.
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2023-06-29 11:10:57 +00:00 |
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2741b39ad3
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Use broadcasted scalars for const tensors.
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2023-06-29 11:56:40 +01:00 |
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3872dc4751
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Merge pull request #19 from LaurentMazare/llama_safetensors
Llama safetensors
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2023-06-29 12:49:26 +02:00 |
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b4aab7b95f
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Put more requirements on the withdtype trait.
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2023-06-29 11:37:42 +01:00 |
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c9c468e1aa
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Use Map2 for binary ops.
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2023-06-29 10:09:15 +01:00 |
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83c7d660ca
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Add Map2.
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2023-06-29 10:05:06 +01:00 |
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367170da45
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Also use Map1 for embedding.
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2023-06-29 09:45:27 +01:00 |
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8ad03a5fb6
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Use Map1 on unary ops.
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2023-06-29 09:37:38 +01:00 |
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fff13dbb4e
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Factorize the kernel naming scheme.
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2023-06-29 09:29:59 +01:00 |
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d3c7b0d168
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Use Map1 for sum.
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2023-06-29 09:27:07 +01:00 |
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122e334d0c
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Simplify the pattern matching logic in the cuda backend.
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2023-06-29 09:21:11 +01:00 |
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eaa3ce359e
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Cosmetic change.
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2023-06-28 22:02:23 +01:00 |
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1328b5cb20
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Factor some code out.
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2023-06-28 21:56:44 +01:00 |
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c583ee0f2c
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Add map2.
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2023-06-28 21:38:01 +01:00 |
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46c07b924c
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Tweak some comment.
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2023-06-28 21:10:54 +01:00 |
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2ae368e98e
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Switch from a macro to a trait to make things more generic.
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2023-06-28 21:06:56 +01:00 |
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ece3ec6167
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Final updates -> moving to deterministic for easier comparison.
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2023-06-28 14:56:39 +00:00 |
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926fffa0b7
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Ok.
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2023-06-28 14:56:39 +00:00 |
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e29dae044d
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Tmp.
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2023-06-28 14:56:38 +00:00 |
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6c9e6b5a99
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Get the cuda tests to pass.
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2023-06-28 15:53:23 +01:00 |
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3f0d9fbb25
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Adapt the cuda bits.
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2023-06-28 15:43:03 +01:00 |
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cca699be6c
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Fix some cpu issue.
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2023-06-28 15:09:15 +01:00 |
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1c755c0e5b
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Remove some todos.
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2023-06-28 14:33:06 +01:00 |
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caafef6cc1
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Get the cpu tests to run.
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2023-06-28 14:32:02 +01:00 |
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14449ff80c
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Get the cpu backend to compile.
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2023-06-28 14:12:38 +01:00 |
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54a6c40f27
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Propagate the changes on the cpu backend.
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2023-06-28 14:00:49 +01:00 |
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303b853098
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Propagate the layout refactoring.
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2023-06-28 13:42:23 +01:00 |
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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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