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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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6c4a960b15
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Embedding bugfix.
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2023-06-27 09:56:19 +01:00 |
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18707891b7
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Fix an error message.
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2023-06-27 09:45:38 +01:00 |
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bb262ecc99
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More casting kernels.
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2023-06-27 09:36:35 +01:00 |
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ee3d290f8b
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Cuda support for dtype conversions.
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2023-06-27 09:15:46 +01:00 |
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51640ba7e6
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Merge pull request #10 from LaurentMazare/f16
Add support for f16 and bf16
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2023-06-27 05:59:59 +01:00 |
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e152c1273d
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Add more context for missing cuda kernels.
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2023-06-27 05:56:19 +01:00 |
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4d19889acc
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where_cond for f16.
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2023-06-26 22:14:32 +01:00 |
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a6a7477bea
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Matmul cublas support for f16.
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2023-06-26 22:08:22 +01:00 |
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36a4749e95
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Add the f16 affine kernel.
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2023-06-26 22:05:31 +01:00 |
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53fdbda683
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Add the f16 sum kernel (fix).
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2023-06-26 22:02:22 +01:00 |
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93e24f29f4
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Add the f16 sum kernel.
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2023-06-26 22:01:29 +01:00 |
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d204f1c7c0
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Cuda support for embedding f16.
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2023-06-26 21:58:15 +01:00 |
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becb822ce0
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Support more types in the cpu matmul.
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2023-06-26 21:37:41 +01:00 |
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7cfa4c307c
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Handle f16/bf16 in npy.
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2023-06-26 21:10:03 +01:00 |
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de1f612645
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Remove the default features from the CI as cuda is not available.
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2023-06-26 20:56:13 +01:00 |
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22da2c7e02
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More f16 and bf16 support.
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2023-06-26 20:52:01 +01:00 |
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a31411fd91
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Start adding f16/bf16 support.
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2023-06-26 19:37:47 +01:00 |
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36a1a48ba0
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Avoid a cast when no conversion is required.
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2023-06-26 18:16:19 +01:00 |
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46789c403c
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Cublas fixes.
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2023-06-26 17:59:27 +01:00 |
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1ad5baecc5
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Handle transposed matrixes in cublas.
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2023-06-26 17:49:29 +01:00 |
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3761f02aa8
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Use atomicAdd as a quick workaround some cuda synchronisation issue.
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2023-06-26 16:31:24 +01:00 |
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f2ac5547fc
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Avoid the race condition on cuda sums.
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2023-06-26 16:19:06 +01:00 |
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687c5beb6a
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Decompose the softmax op so that it can be run on cuda.
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2023-06-26 15:36:21 +01:00 |
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33c0234a33
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(Properly) add the where kernels.
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2023-06-26 13:25:56 +01:00 |
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cd2a171c06
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Add the where kernels.
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2023-06-26 13:25:02 +01:00 |
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b1d6e264da
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Sketch the where_cond cuda kernel wrapper.
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2023-06-26 13:11:14 +01:00 |
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95a2c8e7da
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Add helper functions for fortran contiguous data.
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2023-06-26 13:02:06 +01:00 |
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f6104c4b64
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Add the reduce-sum kernel.
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2023-06-26 12:35:26 +01:00 |
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16f0f5b9d2
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Add a cuda kernel for embeddings.
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2023-06-26 11:47:57 +01:00 |
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5952c3fa91
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Cleanup the broadcast setup.
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2023-06-26 10:49:34 +01:00 |
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217bdcdf4d
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Fix the error message.
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2023-06-26 10:14:34 +01:00 |
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59a59f41a6
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Add the cuda mode to llama.
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2023-06-26 10:06:44 +01:00 |
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512d12e38d
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Avoid copying the data around when loading weights.
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2023-06-26 08:09:03 +01:00 |
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4ad5d17d8c
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Slightly more efficient weight loading.
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2023-06-26 07:56:25 +01:00 |
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11696e6377
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Faster model weight loading.
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2023-06-26 07:40:11 +01:00 |
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d867155ef2
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Load the weights for llama.
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2023-06-26 07:23:59 +01:00 |
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7a3101f15f
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Llama bugfix.
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2023-06-26 07:07:56 +01:00 |
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97424289d1
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Fix the llama causal mask inversion.
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2023-06-25 21:16:54 +01:00 |
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117f014b55
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Add where_cond and properly apply the causal mask.
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2023-06-25 21:08:03 +01:00 |
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25bcad290e
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Fix the causal mask computation.
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2023-06-25 20:19:30 +01:00 |
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8e404eb125
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Get a some first inference to work on llama.
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2023-06-25 18:26:15 +01:00 |
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87c5aab005
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More llama fixes.
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2023-06-25 18:08:41 +01:00 |
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60a5598c8b
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Fix some shape errors.
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2023-06-25 17:56:59 +01:00 |
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817e4b5005
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Rework the embeddings so that it works on non-contiguous weights + factor out some code.
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2023-06-25 17:37:47 +01:00 |
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334524e2c4
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Take as input slices of tensors as well as slices of &Tensors.
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2023-06-25 17:07:09 +01:00 |
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8b67f294e8
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Fix the cat implementation + more testing.
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2023-06-25 15:32:13 +01:00 |
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118cc30908
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Add some currently broken tests.
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2023-06-25 14:55:25 +01:00 |
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bb6450ebbb
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Bugfix for Tensor::cat + add some tests.
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2023-06-25 14:20:42 +01:00 |
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90c140ff4b
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Start sketching the llama example.
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2023-06-25 13:51:20 +01:00 |
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