mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-09-10 03:44:54 +00:00
Merge remote-tracking branch 'origin/main' into feat/rw
This commit is contained in:
commit
3e517bfc9d
@ -455,11 +455,12 @@ fn shutdown_shards(shutdown: Arc<Mutex<bool>>, shutdown_receiver: &mpsc::Receive
|
||||
}
|
||||
|
||||
fn num_cuda_devices() -> Option<usize> {
|
||||
if let Ok(cuda_visible_devices) = env::var("CUDA_VISIBLE_DEVICES") {
|
||||
let n_devices = cuda_visible_devices.split(',').count();
|
||||
return Some(n_devices);
|
||||
}
|
||||
None
|
||||
let devices = match env::var("CUDA_VISIBLE_DEVICES") {
|
||||
Ok(devices) => devices,
|
||||
Err(_) => env::var("NVIDIA_VISIBLE_DEVICES").ok()?,
|
||||
};
|
||||
let n_devices = devices.split(',').count();
|
||||
Some(n_devices)
|
||||
}
|
||||
|
||||
#[derive(Deserialize)]
|
||||
@ -509,9 +510,9 @@ fn find_num_shards(sharded: Option<bool>, num_shard: Option<usize>) -> usize {
|
||||
let num_shard = match (sharded, num_shard) {
|
||||
(Some(true), None) => {
|
||||
// try to default to the number of available GPUs
|
||||
tracing::info!("Parsing num_shard from CUDA_VISIBLE_DEVICES");
|
||||
let n_devices =
|
||||
num_cuda_devices().expect("--num-shard and CUDA_VISIBLE_DEVICES are not set");
|
||||
tracing::info!("Parsing num_shard from CUDA_VISIBLE_DEVICES/NVIDIA_VISIBLE_DEVICES");
|
||||
let n_devices = num_cuda_devices()
|
||||
.expect("--num-shard and CUDA_VISIBLE_DEVICES/NVIDIA_VISIBLE_DEVICES are not set");
|
||||
if n_devices <= 1 {
|
||||
panic!("`sharded` is true but only found {n_devices} CUDA devices");
|
||||
}
|
||||
|
@ -246,9 +246,7 @@ class BLOOMSharded(BLOOM):
|
||||
|
||||
module.linear = replace_linear(state)
|
||||
elif quantize == "gptq":
|
||||
raise NotImplementedError(
|
||||
"`gptq` is not implemented for now"
|
||||
)
|
||||
raise NotImplementedError("`gptq` is not implemented for now")
|
||||
elif quantize is None:
|
||||
tensor = tensor.to(device)
|
||||
else:
|
||||
|
@ -365,9 +365,7 @@ class GalacticaSharded(Galactica):
|
||||
|
||||
module.linear = replace_linear(state)
|
||||
elif quantize == "gptq":
|
||||
raise NotImplementedError(
|
||||
"`gptq` is not implemented for now"
|
||||
)
|
||||
raise NotImplementedError("`gptq` is not implemented for now")
|
||||
elif quantize is None:
|
||||
tensor = tensor.to(device)
|
||||
else:
|
||||
|
@ -211,9 +211,7 @@ class GPTNeoxSharded(CausalLM):
|
||||
|
||||
module.linear = replace_linear(state)
|
||||
elif quantize == "gptq":
|
||||
raise NotImplementedError(
|
||||
"`gptq` is not implemented for now"
|
||||
)
|
||||
raise NotImplementedError("`gptq` is not implemented for now")
|
||||
elif quantize is None:
|
||||
tensor = tensor.to(device)
|
||||
else:
|
||||
|
@ -224,10 +224,8 @@ class T5Sharded(Seq2SeqLM):
|
||||
module.linear = replace_linear(state)
|
||||
|
||||
elif quantize == "gptq" and not module_name.endswith("wo"):
|
||||
raise NotImplementedError(
|
||||
"`gptq` is not implemented for now"
|
||||
)
|
||||
elif quantize is None:
|
||||
raise NotImplementedError("`gptq` is not implemented for now")
|
||||
elif quantize is None or module_name.endswith("wo"):
|
||||
tensor = tensor.to(device)
|
||||
else:
|
||||
raise ValueError(f"Unexpected quantize `{quantize}`")
|
||||
|
Loading…
Reference in New Issue
Block a user