aboutsummaryrefslogtreecommitdiff
path: root/modules/api/api.py
diff options
context:
space:
mode:
Diffstat (limited to 'modules/api/api.py')
-rw-r--r--modules/api/api.py37
1 files changed, 37 insertions, 0 deletions
diff --git a/modules/api/api.py b/modules/api/api.py
index 2103709b..d2222b18 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -130,6 +130,7 @@ class Api:
self.add_api_route("/sdapi/v1/preprocess", self.preprocess, methods=["POST"], response_model=PreprocessResponse)
self.add_api_route("/sdapi/v1/train/embedding", self.train_embedding, methods=["POST"], response_model=TrainResponse)
self.add_api_route("/sdapi/v1/train/hypernetwork", self.train_hypernetwork, methods=["POST"], response_model=TrainResponse)
+ self.add_api_route("/sdapi/v1/memory", self.get_memory, methods=["GET"], response_model=MemoryResponse)
def add_api_route(self, path: str, endpoint, **kwargs):
if shared.cmd_opts.api_auth:
@@ -465,6 +466,42 @@ class Api:
shared.state.end()
return TrainResponse(info = "train embedding error: {error}".format(error = error))
+ def get_memory(self):
+ def gb(val: float):
+ return round(val / 1024 / 1024 / 1024, 2)
+ try:
+ import os, psutil
+ process = psutil.Process(os.getpid())
+ res = process.memory_info()
+ ram_total = 100 * res.rss / process.memory_percent()
+ ram = { 'free': gb(ram_total - res.rss), 'used': gb(res.rss), 'total': gb(ram_total) }
+ except Exception as err:
+ ram = { 'error': f'{err}' }
+ try:
+ import torch
+ if torch.cuda.is_available():
+ s = torch.cuda.mem_get_info()
+ system = { 'free': gb(s[0]), 'used': gb(s[1] - s[0]), 'total': gb(s[1]) }
+ s = dict(torch.cuda.memory_stats(shared.device))
+ allocated = { 'current': gb(s['allocated_bytes.all.current']), 'peak': gb(s['allocated_bytes.all.peak']) }
+ reserved = { 'current': gb(s['reserved_bytes.all.current']), 'peak': gb(s['reserved_bytes.all.peak']) }
+ active = { 'current': gb(s['active_bytes.all.current']), 'peak': gb(s['active_bytes.all.peak']) }
+ inactive = { 'current': gb(s['inactive_split_bytes.all.current']), 'peak': gb(s['inactive_split_bytes.all.peak']) }
+ warnings = { 'retries': s['num_alloc_retries'], 'oom': s['num_ooms'] }
+ cuda = {
+ 'system': system,
+ 'active': active,
+ 'allocated': allocated,
+ 'reserved': reserved,
+ 'inactive': inactive,
+ 'events': warnings,
+ }
+ else:
+ cuda = { 'error': 'unavailable' }
+ except Exception as err:
+ cuda = { 'error': f'{err}' }
+ return MemoryResponse(ram = ram, cuda = cuda)
+
def launch(self, server_name, port):
self.app.include_router(self.router)
uvicorn.run(self.app, host=server_name, port=port)