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Unverified Commit 9256d7c3 authored by Daniël de Kok's avatar Daniël de Kok Committed by GitHub
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Some small fixes for the Torch 2.4.0 update (#2304) 

* Fix GPTQ autotune data type to be compatible with Torch 2.4.0

* Update poetry lock file

* Fix small PaliGemma logprob differences after the torch update
parent 26614057
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Showing with 50 additions and 91 deletions
integration-tests/models/__snapshots__/test_flash_pali_gemma/test_flash_pali_gemma_two_images.json
View file @ 9256d7c3
...@@ -8,49 +8,49 @@ ...@@ -8,49 +8,49 @@
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{ {
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"text": " the" "text": " the"
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{ {
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"logprob": -0.02709961, "logprob": -0.026000977,
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"text": " beach" "text": " beach"
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{ {
"id": 1, "id": 1,
"logprob": -0.20739746, "logprob": -0.2109375,
"special": true, "special": true,
"text": "<eos>" "text": "<eos>"
} }
......
server/poetry.lock
View file @ 9256d7c3
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[package.dependencies] [package.dependencies]
...@@ -3155,8 +3114,8 @@ filelock = "*" ...@@ -3155,8 +3114,8 @@ filelock = "*"
[package.extras] [package.extras]
build = ["cmake (>=3.20)", "lit"] build = ["cmake (>=3.20)", "lit"]
tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"] tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
tutorials = ["matplotlib", "pandas", "tabulate", "torch"] tutorials = ["matplotlib", "pandas", "tabulate"]
[[package]] [[package]]
name = "typer" name = "typer"
...@@ -3556,4 +3515,4 @@ torch = ["torch"] ...@@ -3556,4 +3515,4 @@ torch = ["torch"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.9,<3.13" python-versions = ">=3.9,<3.13"
content-hash = "52d2dda4603443ee76ce880f3f1fdf7f044e7ba6df9973d230f52b0fbc0dbf24" content-hash = "c94bbdf8131750891fb3f7132066718534129d85a4c09126d8d01c2de6c72798"
server/text_generation_server/layers/gptq/custom_autotune.py
View file @ 9256d7c3
...@@ -91,7 +91,7 @@ class Autotuner(triton.KernelInterface): ...@@ -91,7 +91,7 @@ class Autotuner(triton.KernelInterface):
kernel_call, quantiles=(0.5, 0.2, 0.8), rep=40 kernel_call, quantiles=(0.5, 0.2, 0.8), rep=40
) )
except triton.OutOfResources: except triton.OutOfResources:
return (float("inf"), float("inf"), float("inf")) return [float("inf"), float("inf"), float("inf")]
def run(self, *args, **kwargs): def run(self, *args, **kwargs):
self.nargs = dict(zip(self.arg_names, args)) self.nargs = dict(zip(self.arg_names, args))
......
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