assumption of torch.initial_seed function accepting seed arg in DeepSpeedAccelerator abstract class is incorrect (#5569)

pytorch API reference -
https://pytorch.org/docs/stable/generated/torch.initial_seed.html
fix return value of manual_seed api for hpu

---------

Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>

accelerator/abstract_accelerator.py

@@ -81,7 +81,7 @@ class DeepSpeedAccelerator(ABC):
         ...
 
     @abc.abstractmethod
-    def initial_seed(self, seed):
+    def initial_seed(self):
         ...
 
     @abc.abstractmethod

accelerator/cpu_accelerator.py

@@ -100,8 +100,8 @@ class CPU_Accelerator(DeepSpeedAccelerator):
     def manual_seed_all(self, seed):
         return torch.manual_seed(seed)
 
-    def initial_seed(self, seed):
-        return torch.initial_seed(seed)
+    def initial_seed(self):
+        return torch.initial_seed()
 
     def default_generator(self, device_index):
         return torch.default_generator

accelerator/cuda_accelerator.py

@@ -99,8 +99,8 @@ class CUDA_Accelerator(DeepSpeedAccelerator):
     def manual_seed_all(self, seed):
         return torch.cuda.manual_seed_all(seed)
 
-    def initial_seed(self, seed):
-        return torch.cuda.initial_seed(seed)
+    def initial_seed(self):
+        return torch.cuda.initial_seed()
 
     def default_generator(self, device_index):
         return torch.cuda.default_generators[device_index]

accelerator/hpu_accelerator.py

@@ -74,13 +74,13 @@ class HPU_Accelerator(DeepSpeedAccelerator):
         return self.hpu.random.get_rng_state()
 
     def manual_seed(self, seed):
-        self.hpu.random.manual_seed(seed)
+        return self.hpu.random.manual_seed(seed)
 
     def manual_seed_all(self, seed):
         self.hpu.random.manual_seed_all(seed)
 
-    def initial_seed(self, seed):
-        self.hpu.random.initial_seed(seed)
+    def initial_seed(self):
+        return self.hpu.random.initial_seed()
 
     def default_generator(self, device_index):
         return self.hpu.random.default_generators[device_index]

accelerator/mps_accelerator.py

@@ -77,7 +77,7 @@ class MPS_Accelerator(DeepSpeedAccelerator):
     def seed(self):
         return torch.mps.seed()
 
-    def initial_seed(self, seed):
+    def initial_seed(self):
         return
 
     def default_generator(self, device_index):

accelerator/npu_accelerator.py

@@ -84,8 +84,8 @@ class NPU_Accelerator(DeepSpeedAccelerator):
     def manual_seed_all(self, seed):
         return torch.npu.manual_seed_all(seed)
 
-    def initial_seed(self, seed):
-        return torch.npu.initial_seed(seed)
+    def initial_seed(self):
+        return torch.npu.initial_seed()
 
     def default_generator(self, device_index):
         return torch.npu.default_generators[device_index]

accelerator/xpu_accelerator.py

@@ -74,8 +74,8 @@ class XPU_Accelerator(DeepSpeedAccelerator):
     def manual_seed_all(self, seed):
         return torch.xpu.manual_seed_all(seed)
 
-    def initial_seed(self, seed):
-        return torch.xpu.initial_seed(seed)
+    def initial_seed(self):
+        return torch.xpu.initial_seed()
 
     def default_generator(self, device_index):
         return torch.xpu.default_generators[device_index]