remove use_cudnn in python API. test=develop

paddle/fluid/API.spec

@@ -77,8 +77,8 @@ paddle.fluid.layers.sequence_softmax ArgSpec(args=['input', 'use_cudnn', 'name']
 paddle.fluid.layers.softmax ArgSpec(args=['input', 'use_cudnn', 'name'], varargs=None, keywords=None, defaults=(True, None))
 paddle.fluid.layers.pool2d ArgSpec(args=['input', 'pool_size', 'pool_type', 'pool_stride', 'pool_padding', 'global_pooling', 'use_cudnn', 'ceil_mode', 'name', 'exclusive'], varargs=None, keywords=None, defaults=(-1, 'max', 1, 0, False, True, False, None, True))
 paddle.fluid.layers.pool3d ArgSpec(args=['input', 'pool_size', 'pool_type', 'pool_stride', 'pool_padding', 'global_pooling', 'use_cudnn', 'ceil_mode', 'name', 'exclusive'], varargs=None, keywords=None, defaults=(-1, 'max', 1, 0, False, True, False, None, True))
-paddle.fluid.layers.adaptive_pool2d ArgSpec(args=['input', 'pool_size', 'pool_type', 'require_index', 'use_cudnn', 'name'], varargs=None, keywords=None, defaults=('max', False, False, None))
-paddle.fluid.layers.adaptive_pool3d ArgSpec(args=['input', 'pool_size', 'pool_type', 'require_index', 'use_cudnn', 'name'], varargs=None, keywords=None, defaults=('max', False, False, None))
+paddle.fluid.layers.adaptive_pool2d ArgSpec(args=['input', 'pool_size', 'pool_type', 'require_index', 'name'], varargs=None, keywords=None, defaults=('max', False, None))
+paddle.fluid.layers.adaptive_pool3d ArgSpec(args=['input', 'pool_size', 'pool_type', 'require_index', 'name'], varargs=None, keywords=None, defaults=('max', False, None))
 paddle.fluid.layers.batch_norm ArgSpec(args=['input', 'act', 'is_test', 'momentum', 'epsilon', 'param_attr', 'bias_attr', 'data_layout', 'in_place', 'name', 'moving_mean_name', 'moving_variance_name', 'do_model_average_for_mean_and_var', 'fuse_with_relu', 'use_global_stats'], varargs=None, keywords=None, defaults=(None, False, 0.9, 1e-05, None, None, 'NCHW', False, None, None, None, False, False, False))
 paddle.fluid.layers.beam_search_decode ArgSpec(args=['ids', 'scores', 'beam_size', 'end_id', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.conv2d_transpose ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None))

python/paddle/fluid/layers/nn.py

@@ -2506,7 +2506,6 @@ def adaptive_pool2d(input,
                     pool_size,
                     pool_type="max",
                     require_index=False,
-                    use_cudnn=False,
                     name=None):
     """
     ${comment}
@@ -2521,7 +2520,6 @@ def adaptive_pool2d(input,
         pool_type: ${pooling_type_comment}
         require_index (bool): If true, the index of max pooling point along with outputs.
             it cannot be set in average pooling type.
-        use_cudnn (bool, default False): adaptive pool currently not supported in cudnn.
         name (str|None): A name for this layer(optional). If set None, the
                         layer will be named automatically.
 
@@ -2530,8 +2528,6 @@ def adaptive_pool2d(input,
 
     Raises:
         ValueError: 'pool_type' is not 'max' nor 'avg'.
-        ValueError: 'use_cudnn' is not a bool value.
-        ValueError: adaptive pool currently not supported in cudnn.
         ValueError: invalid setting 'require_index' true when 'pool_type' is 'avg'.
         ValueError: 'pool_size' should be a list or tuple with length as 2.
 
@@ -2575,12 +2571,6 @@ def adaptive_pool2d(input,
         raise ValueError(
             "'pool_size' should be a list or tuple with length as 2.")
 
-    if not isinstance(use_cudnn, bool):
-        raise ValueError("use_cudnn should be True or False.")
-
-    if use_cudnn:
-        raise ValueError("adaptive pool currently not supported in cudnn.")
-
     if pool_type == "max":
         l_type = 'max_pool2d_with_index'
     else:
@@ -2602,7 +2592,6 @@ def adaptive_pool2d(input,
         attrs={
             "pooling_type": pool_type,
             "ksize": pool_size,
-            "use_cudnn": use_cudnn,
             "adaptive": True,
         })
 
@@ -2614,7 +2603,6 @@ def adaptive_pool3d(input,
                     pool_size,
                     pool_type="max",
                     require_index=False,
-                    use_cudnn=False,
                     name=None):
     """
     ${comment}
@@ -2629,7 +2617,6 @@ def adaptive_pool3d(input,
         pool_type: ${pooling_type_comment}
         require_index (bool): If true, the index of max pooling point along with outputs.
             it cannot be set in average pooling type.
-        use_cudnn (bool, default False): adaptive pool currently not supported in cudnn.
         name (str|None): A name for this layer(optional). If set None, the
                         layer will be named automatically.
 
@@ -2638,8 +2625,6 @@ def adaptive_pool3d(input,
 
     Raises:
         ValueError: 'pool_type' is not 'max' nor 'avg'.
-        ValueError: 'use_cudnn' is not a bool value.
-        ValueError: adaptive pool currently not supported in cudnn.
         ValueError: invalid setting 'require_index' true when 'pool_type' is 'avg'.
         ValueError: 'pool_size' should be a list or tuple with length as 2.
 
@@ -2687,12 +2672,6 @@ def adaptive_pool3d(input,
         raise ValueError(
             "'pool_size' should be a list or tuple with length as 3.")
 
-    if not isinstance(use_cudnn, bool):
-        raise ValueError("use_cudnn should be True or False.")
-
-    if use_cudnn:
-        raise ValueError("adaptive pool currently not supported in cudnn.")
-
     if pool_type == "max":
         l_type = 'max_pool3d_with_index'
     else:
@@ -2714,7 +2693,6 @@ def adaptive_pool3d(input,
         attrs={
             "pooling_type": pool_type,
             "ksize": pool_size,
-            "use_cudnn": use_cudnn,
             "adaptive": True,
         })