Fix (#11448)

deploy/slim/prune/sensitivity_anal.py

@@ -127,7 +127,7 @@ def main(config, device, logger, vdl_writer):
     run_sensitive_analysis=True: 
         Automatically compute the sensitivities of convolutions in a model. 
         The sensitivity of a convolution is the losses of accuracy on test dataset in 
-        differenct pruned ratios. The sensitivities can be used to get a group of best 
+        different pruned ratios. The sensitivities can be used to get a group of best 
         ratios with some condition.
     
     run_sensitive_analysis=False: 

deploy/slim/quantization/quant_kl.py

@@ -139,7 +139,7 @@ def main(config, device, logger, vdl_writer):
         if  not (os.path.exists(os.path.join(inference_model_dir, "inference.pdmodel")) and \
             os.path.exists(os.path.join(inference_model_dir, "inference.pdiparams")) ):
             raise ValueError(
-                "Please set inference model dir in Global.inference_model or Global.pretrained_model for post-quantazition"
+                "Please set inference model dir in Global.inference_model or Global.pretrained_model for post-quantization"
             )
     
     if is_layoutxlm_ser:

tools/program.py

@@ -127,7 +127,7 @@ def check_device(use_gpu, use_xpu=False, use_npu=False, use_mlu=False):
 
     try:
         if use_gpu and use_xpu:
-            print("use_xpu and use_gpu can not both be ture.")
+            print("use_xpu and use_gpu can not both be true.")
         if use_gpu and not paddle.is_compiled_with_cuda():
             print(err.format("use_gpu", "cuda", "gpu", "use_gpu"))
             sys.exit(1)