Make every op in a line to avoid conflict in the future (#22274)

python/paddle/fluid/tests/unittests/white_list/op_accuracy_white_list.py

@@ -14,25 +14,82 @@
 
 # For op in NO_FP64_CHECK_GRAD_OP_LIST, the op test requires check_grad with fp64 precision
 NO_FP64_CHECK_GRAD_OP_LIST = [
-    'affine_grid', 'clip', 'conv2d', 'conv2d_transpose', 'conv3d',
-    'conv3d_transpose', 'conv_shift', 'cos_sim', 'cudnn_lstm', 'cvm',
-    'data_norm', 'deformable_conv', 'deformable_conv_v1',
-    'deformable_psroi_pooling', 'depthwise_conv2d',
-    'depthwise_conv2d_transpose', 'dropout', 'elementwise_max',
-    'fused_elemwise_activation', 'hierarchical_sigmoid', 'hinge_loss',
-    'huber_loss', 'im2sequence', 'increment', 'l1_norm', 'log_loss', 'lrn',
-    'margin_rank_loss', 'match_matrix_tensor', 'matmul',
-    'max_pool2d_with_index', 'max_pool3d_with_index', 'maxout', 'minus',
-    'modified_huber_loss', 'mul', 'nce', 'pad', 'pad2d', 'pad_constant_like',
-    'pool2d', 'pool3d', 'prelu', 'prroi_pool', 'rank_loss', 'reduce_max',
-    'reduce_min', 'relu', 'reshape2', 'roi_perspective_transform', 'row_conv',
-    'scale', 'scatter', 'sequence_conv', 'sequence_pool', 'sequence_reverse',
-    'sequence_slice', 'sequence_topk_avg_pooling', 'shuffle_channel', 'sigmoid',
-    'smooth_l1_loss', 'softmax', 'spectral_norm', 'sqrt', 'squared_l2_distance',
-    'squared_l2_norm', 'tanh', 'transpose2', 'trilinear_interp', 'var_conv_2d',
+    'affine_grid', \
+    'clip', \
+    'conv2d', \
+    'conv2d_transpose', \
+    'conv3d', \
+    'conv3d_transpose', \
+    'conv_shift', \
+    'cos_sim', \
+    'cudnn_lstm', \
+    'cvm', \
+    'data_norm', \
+    'deformable_conv', \
+    'deformable_conv_v1', \
+    'deformable_psroi_pooling', \
+    'depthwise_conv2d', \
+    'depthwise_conv2d_transpose', \
+    'dropout', \
+    'elementwise_max', \
+    'fused_elemwise_activation', \
+    'hierarchical_sigmoid', \
+    'hinge_loss', \
+    'huber_loss', \
+    'im2sequence', \
+    'increment', \
+    'l1_norm', \
+    'log_loss', \
+    'lrn', \
+    'margin_rank_loss', \
+    'match_matrix_tensor', \
+    'matmul', \
+    'max_pool2d_with_index', \
+    'max_pool3d_with_index', \
+    'maxout', \
+    'minus', \
+    'modified_huber_loss', \
+    'mul', \
+    'nce', \
+    'pad', \
+    'pad2d', \
+    'pad_constant_like', \
+    'pool2d', \
+    'pool3d', \
+    'prelu', \
+    'prroi_pool', \
+    'rank_loss', \
+    'reduce_max', \
+    'reduce_min', \
+    'relu', \
+    'reshape2', \
+    'roi_perspective_transform', \
+    'row_conv', \
+    'scale', \
+    'scatter', \
+    'sequence_conv', \
+    'sequence_pool', \
+    'sequence_reverse', \
+    'sequence_slice', \
+    'sequence_topk_avg_pooling', \
+    'shuffle_channel', \
+    'sigmoid', \
+    'smooth_l1_loss', \
+    'softmax', \
+    'spectral_norm', \
+    'sqrt', \
+    'squared_l2_distance', \
+    'squared_l2_norm', \
+    'tanh', \
+    'transpose2', \
+    'trilinear_interp', \
+    'var_conv_2d', \
     'warpctc'
 ]
 
 NO_FP16_CHECK_GRAD_OP_LIST = [
-    'fused_elemwise_activation', 'pool2d', 'pool3d', 'softmax'
+    'fused_elemwise_activation', \
+    'pool2d', \
+    'pool3d', \
+    'softmax'
 ]

python/paddle/fluid/tests/unittests/white_list/op_threshold_white_list.py

@@ -13,13 +13,34 @@
 # limitations under the License.
 
 NEED_FIX_FP64_CHECK_GRAD_THRESHOLD_OP_LIST = [
-    'affine_channel', 'bilinear_interp', 'bilinear_tensor_product', 'conv2d',
-    'conv3d', 'cross_entropy', 'depthwise_conv2d_transpose', 'elementwise_pow',
-    'grid_sampler', 'group_norm', 'gru', 'gru_unit', 'kldiv_loss', 'lstm',
-    'lstmp', 'max_pool2d_with_index', 'max_pool3d_with_index', 'norm', 'pool3d',
-    'reduce_prod', 'selu', 'sigmoid_cross_entropy_with_logits', 'soft_relu',
-    'softmax_with_cross_entropy', 'spp', 'teacher_student_sigmoid_loss',
-    'unpool', 'yolov3_loss'
+    'affine_channel', \
+    'bilinear_interp', \
+    'bilinear_tensor_product', \
+    'conv2d', \
+    'conv3d', \
+    'cross_entropy', \
+    'depthwise_conv2d_transpose', \
+    'elementwise_pow', \
+    'grid_sampler', \
+    'group_norm', \
+    'gru', \
+    'gru_unit', \
+    'kldiv_loss', \
+    'lstm', \
+    'lstmp', \
+    'max_pool2d_with_index', \
+    'max_pool3d_with_index', \
+    'norm', \
+    'pool3d', \
+    'reduce_prod', \
+    'selu', \
+    'sigmoid_cross_entropy_with_logits', \
+    'soft_relu', \
+    'softmax_with_cross_entropy', \
+    'spp', \
+    'teacher_student_sigmoid_loss', \
+    'unpool', \
+    'yolov3_loss'
 ]
 
 NEED_FIX_FP64_CHECK_OUTPUT_THRESHOLD_OP_LIST = ['bilinear_interp']