not dump all grad info, since slow down train porcess

deepspeech/training/gradclip.py

@@ -47,7 +47,8 @@ class ClipGradByGlobalNormWithLog(paddle.nn.ClipGradByGlobalNorm):
             sum_square = layers.reduce_sum(square)
             sum_square_list.append(sum_square)
 
-            # debug log
+            # debug log, not dump all since slow down train process
+            if i < 10:
                 logger.debug(
                     f"Grad Before Clip: {p.name}: {float(sum_square.sqrt()) }")
 
@@ -75,7 +76,8 @@ class ClipGradByGlobalNormWithLog(paddle.nn.ClipGradByGlobalNorm):
             new_grad = layers.elementwise_mul(x=g, y=clip_var)
             params_and_grads.append((p, new_grad))
 
-            # debug log
+            # debug log, not dump all since slow down train process
+            if i < 10:
                 logger.debug(
                     f"Grad After Clip: {p.name}: {float(new_grad.square().sum().sqrt())}"
                 )