update np.float16 usage (#4851)

PaddleNLP/pretrain_language_models/BERT/utils/init.py

@@ -30,7 +30,7 @@ def cast_fp32_to_fp16(exe, main_program):
             param_t = fluid.global_scope().find_var(param.name).get_tensor()
             data = np.array(param_t)
             if param.name.find("layer_norm") == -1:
-                param_t.set(np.float16(data).view(np.uint16), exe.place)
+                param_t.set(np.float16(data), exe.place)
             master_param_var = fluid.global_scope().find_var(param.name +
                                                              ".master")
             if master_param_var is not None:

PaddleNLP/pretrain_language_models/XLNet/utils/init.py

@@ -32,7 +32,7 @@ def cast_fp32_to_fp16(exe, main_program):
             if param.name.find("layer_norm") == -1 and param.name.find(
                     "embedding") == -1:
                 print("shkip params", param.name)
-                param_t.set(np.float16(data).view(np.uint16), exe.place)
+                param_t.set(np.float16(data), exe.place)
             master_param_var = fluid.global_scope().find_var(param.name +
                                                              ".master")
             if master_param_var is not None:

dygraph/bert/utils/init.py

@@ -30,7 +30,7 @@ def cast_fp32_to_fp16(exe, main_program):
             param_t = fluid.global_scope().find_var(param.name).get_tensor()
             data = np.array(param_t)
             if param.name.find("layer_norm") == -1:
-                param_t.set(np.float16(data).view(np.uint16), exe.place)
+                param_t.set(np.float16(data), exe.place)
             master_param_var = fluid.global_scope().find_var(param.name +
                                                              ".master")
             if master_param_var is not None: