fix bug in warnings T5 pipelines (#3545)

src/transformers/pipelines.py

@@ -1235,17 +1235,19 @@ class SummarizationPipeline(Pipeline):
             elif self.framework == "tf":
                 input_length = tf.shape(inputs["input_ids"])[-1].numpy()
 
-            if input_length < self.model.config.min_length // 2:
+            min_length = generate_kwargs.get("min_length", self.model.config.min_length)
+            if input_length < min_length // 2:
                 logger.warning(
                     "Your min_length is set to {}, but you input_length is only {}. You might consider decreasing min_length manually, e.g. summarizer('...', min_length=10)".format(
-                        self.model.config.min_length, input_length
+                        min_length, input_length
                     )
                 )
 
-            if input_length < self.model.config.max_length:
+            max_length = generate_kwargs.get("max_length", self.model.config.max_length)
+            if input_length < max_length:
                 logger.warning(
                     "Your max_length is set to {}, but you input_length is only {}. You might consider decreasing max_length manually, e.g. summarizer('...', max_length=50)".format(
-                        self.model.config.max_length, input_length
+                        max_length, input_length
                     )
                 )
 
@@ -1349,10 +1351,11 @@ class TranslationPipeline(Pipeline):
             elif self.framework == "tf":
                 input_length = tf.shape(inputs["input_ids"])[-1].numpy()
 
-            if input_length > 0.9 * self.model.config.max_length:
+            max_length = generate_kwargs.get("max_length", self.model.config.max_length)
+            if input_length > 0.9 * max_length:
                 logger.warning(
                     "Your input_length: {} is bigger than 0.9 * max_length: {}. You might consider increasing your max_length manually, e.g. translator('...', max_length=400)".format(
-                        input_length, self.model.config.max_length
+                        input_length, max_length
                     )
                 )