Upload busy.py

busy.py

@@ -0,0 +1,34 @@
+import torch
+import time
+from multiprocessing import Pool, set_start_method
+
+
+def run_on_single_gpu(device):
+    a = torch.randn(1000,1000).cuda(device)
+    b = torch.randn(1000,1000).cuda(device)
+    ta = a
+    tb = b
+    while True:
+        a = ta
+        b = tb
+        a = torch.sin(a)
+        b = torch.sin(b)
+        a = torch.cos(a)
+        b = torch.cos(b)
+        a = torch.tan(a)
+        b = torch.tan(b)
+        a = torch.exp(a)
+        b = torch.exp(b)
+        a = torch.log(a)
+        b = torch.log(b)
+        b = torch.matmul(a, b)
+        #time.sleep(0.000005)
+
+if __name__ == '__main__':
+    set_start_method('spawn')
+    print('start running')
+    num_gpus = torch.cuda.device_count()
+    pool = Pool(processes=num_gpus)
+    pool.map(run_on_single_gpu, range(num_gpus))
+    pool.close()
+    pool.join()