Update

benchmarks/accelerate_opt/benchfile.py

@@ -20,7 +20,7 @@ class AccelerateBenchmark(Package):
 
     def make_env(self):
         env = super().make_env()
-        value = resolve_placeholder(pack, "--cpus_per_gpu")
+        value = resolve_placeholder(self, "--cpus_per_gpu")
         env["OMP_NUM_THREADS"] = str(value)
         return env
 

benchmate/benchmate/dataloader.py

@@ -195,10 +195,7 @@ def pytorch(folder, batch_size, num_workers, distributed=False, epochs=60):
 def synthetic(model, batch_size, fixed_batch):
     return SyntheticData(
         tensors=generate_tensor_classification(
-            model, 
-            batch_size, 
-            (3, 244, 244), 
-            device=accelerator.fetch_device(0)
+            model, batch_size, (3, 244, 244), device=accelerator.fetch_device(0)
         ),
         n=1000,
         fixed_batch=fixed_batch,

benchmate/benchmate/monitor.py

@@ -24,7 +24,7 @@ def monitor_fn():
             }
             for gpu in get_gpu_info()["gpus"].values()
         }
-        mblog({"task": "main", "gpudata": data})
+        mblog({"task": "train", "gpudata": data})
 
     monitor_fn()
     monitor = Monitor(3, monitor_fn)
@@ -74,7 +74,7 @@ def monitor_fn():
             }
             for gpu in get_gpu_info()["gpus"].values()
         }
-        return {"task": "main", "gpudata": data, "time": time.time(), "units": "s"}
+        return {"task": "train", "gpudata": data, "time": time.time(), "units": "s"}
 
     monitor = CustomMonitor(0.5, monitor_fn)
 

benchmate/benchmate/observer.py

@@ -23,7 +23,13 @@ class BenchObserver:
     """
 
     def __init__(
-        self, *args, backward_callback=None, step_callback=None, stdout=False, rank=None, **kwargs
+        self,
+        *args,
+        backward_callback=None,
+        step_callback=None,
+        stdout=False,
+        rank=None,
+        **kwargs,
     ):
         self.wrapped = None
         self.args = args