diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec index 057e1ac13ae3dd74f6ec73a05a301728bfd493f1..319af866c093bd778a1d1b44118d7e5e6cdaee8b 100755 --- a/paddle/fluid/API.spec +++ b/paddle/fluid/API.spec @@ -89,8 +89,8 @@ paddle.fluid.io.PyReader.reset (ArgSpec(args=['self'], varargs=None, keywords=No paddle.fluid.io.PyReader.start (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'a0983fb21a0a51e6a31716009fe9a9c1')) paddle.fluid.io.DataLoader ('paddle.fluid.reader.DataLoader', ('document', '6adf97f83acf6453d4a6a4b1070f3754')) paddle.fluid.io.DataLoader.__init__ -paddle.fluid.io.DataLoader.from_dataset (ArgSpec(args=['dataset', 'places', 'drop_last'], varargs=None, keywords=None, defaults=(True,)), ('document', '58e8bffa033f26b00b256c8bb1daff11')) -paddle.fluid.io.DataLoader.from_generator (ArgSpec(args=['feed_list', 'capacity', 'use_double_buffer', 'iterable', 'return_list'], varargs=None, keywords=None, defaults=(None, None, True, True, False)), ('document', '8034bdb488fa18d60c4ffb0ba9658337')) +paddle.fluid.io.DataLoader.from_dataset (ArgSpec(args=['dataset', 'places', 'drop_last'], varargs=None, keywords=None, defaults=(True,)), ('document', 'eb8b6d31e1c2ec2ca8ebbb62fcf46557')) +paddle.fluid.io.DataLoader.from_generator (ArgSpec(args=['feed_list', 'capacity', 'use_double_buffer', 'iterable', 'return_list'], varargs=None, keywords=None, defaults=(None, None, True, True, False)), ('document', 'e3bdde36774236c3e381d2218e9cc09e')) paddle.fluid.io.cache (ArgSpec(args=['reader'], varargs=None, keywords=None, defaults=None), ('document', '1676886070eb607cb608f7ba47be0d3c')) paddle.fluid.io.map_readers (ArgSpec(args=['func'], varargs='readers', keywords=None, defaults=None), ('document', '77cbadb09df588e21e5cc0819b69c87d')) paddle.fluid.io.buffered (ArgSpec(args=['reader', 'size'], varargs=None, keywords=None, defaults=None), ('document', '0d6186f109feceb99f60ec50a0a624cb')) @@ -980,7 +980,7 @@ paddle.fluid.optimizer.RMSPropOptimizer.backward (ArgSpec(args=['self', 'loss', paddle.fluid.optimizer.RMSPropOptimizer.get_opti_var_name_list (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754')) paddle.fluid.optimizer.RMSPropOptimizer.load (ArgSpec(args=['self', 'stat_dict'], varargs=None, keywords=None, defaults=None), ('document', '649a92cf7f1ea28666fd00c4ea01acde')) paddle.fluid.optimizer.RMSPropOptimizer.minimize (ArgSpec(args=['self', 'loss', 'startup_program', 'parameter_list', 'no_grad_set', 'grad_clip'], varargs=None, keywords=None, defaults=(None, None, None, None)), ('document', '8387af01322a6defc92c1832faccd304')) -paddle.fluid.optimizer.AdadeltaOptimizer ('paddle.fluid.optimizer.AdadeltaOptimizer', ('document', 'f4354aef5e3b9134fa68919b75a3a097')) +paddle.fluid.optimizer.AdadeltaOptimizer ('paddle.fluid.optimizer.AdadeltaOptimizer', ('document', '6710aad9700421ac6ccb4088b6b7f250')) paddle.fluid.optimizer.AdadeltaOptimizer.__init__ (ArgSpec(args=['self', 'learning_rate', 'epsilon', 'rho', 'regularization', 'name'], varargs=None, keywords=None, defaults=(1e-06, 0.95, None, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754')) paddle.fluid.optimizer.AdadeltaOptimizer.apply_gradients (ArgSpec(args=['self', 'params_grads'], varargs=None, keywords=None, defaults=None), ('document', '80ea99c9af7ef5fac7e57fb302103610')) paddle.fluid.optimizer.AdadeltaOptimizer.apply_optimize (ArgSpec(args=['self', 'loss', 'startup_program', 'params_grads'], varargs=None, keywords=None, defaults=None), ('document', '5c46d1926a40f1f873ffe9f37ac89dae')) @@ -1064,7 +1064,7 @@ paddle.fluid.CUDAPlace ('paddle.fluid.core_avx.CUDAPlace', ('document', '6a6cd8e paddle.fluid.CUDAPlace.__init__ __init__(self: paddle.fluid.core_avx.CUDAPlace, arg0: int) -> None paddle.fluid.CUDAPinnedPlace ('paddle.fluid.core_avx.CUDAPinnedPlace', ('document', 'afd58ea5d390b5ea06ca70291a266d45')) paddle.fluid.CUDAPinnedPlace.__init__ __init__(self: paddle.fluid.core_avx.CUDAPinnedPlace) -> None -paddle.fluid.ParamAttr ('paddle.fluid.param_attr.ParamAttr', ('document', 'a4d4d13ce9eeb86bbaa7ab935c207577')) +paddle.fluid.ParamAttr ('paddle.fluid.param_attr.ParamAttr', ('document', '7b5bfe856689036b8fffb71af1558e5c')) paddle.fluid.ParamAttr.__init__ (ArgSpec(args=['self', 'name', 'initializer', 'learning_rate', 'regularizer', 'trainable', 'gradient_clip', 'do_model_average'], varargs=None, keywords=None, defaults=(None, None, 1.0, None, True, None, True)), ('document', '6adf97f83acf6453d4a6a4b1070f3754')) paddle.fluid.WeightNormParamAttr ('paddle.fluid.param_attr.WeightNormParamAttr', ('document', 'b5ae1698ea72d5a9428000b916a67379')) paddle.fluid.WeightNormParamAttr.__init__ (ArgSpec(args=['self', 'dim', 'name', 'initializer', 'learning_rate', 'regularizer', 'trainable', 'gradient_clip', 'do_model_average'], varargs=None, keywords=None, defaults=(None, None, None, 1.0, None, True, None, False)), ('document', '6adf97f83acf6453d4a6a4b1070f3754')) @@ -1073,7 +1073,7 @@ paddle.fluid.DataFeeder.__init__ (ArgSpec(args=['self', 'feed_list', 'place', 'p paddle.fluid.DataFeeder.decorate_reader (ArgSpec(args=['self', 'reader', 'multi_devices', 'num_places', 'drop_last'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'a0ed5ce816b5d603cb595aacb922335a')) paddle.fluid.DataFeeder.feed (ArgSpec(args=['self', 'iterable'], varargs=None, keywords=None, defaults=None), ('document', 'ce65fe1d81dcd7067d5092a5667f35cc')) paddle.fluid.DataFeeder.feed_parallel (ArgSpec(args=['self', 'iterable', 'num_places'], varargs=None, keywords=None, defaults=(None,)), ('document', '334c6af750941a4397a2dd2ea8a4d76f')) -paddle.fluid.clip.set_gradient_clip (ArgSpec(args=['clip', 'param_list', 'program'], varargs=None, keywords=None, defaults=(None, None)), ('document', 'a0b00ccc8584b4a1cf4ec5aa74780e77')) +paddle.fluid.clip.set_gradient_clip (ArgSpec(args=['clip', 'param_list', 'program'], varargs=None, keywords=None, defaults=(None, None)), ('document', '7a0f76a77dd88a74f24485a103a22fc1')) paddle.fluid.clip.ErrorClipByValue ('paddle.fluid.clip.ErrorClipByValue', ('document', 'e6f815a03be88dee2537707d9e6b9209')) paddle.fluid.clip.ErrorClipByValue.__init__ (ArgSpec(args=['self', 'max', 'min'], varargs=None, keywords=None, defaults=(None,)), ('document', '6adf97f83acf6453d4a6a4b1070f3754')) paddle.fluid.clip.GradientClipByValue ('paddle.fluid.clip.GradientClipByValue', ('document', 'b7a22f687269cae0c338ef3866322db7')) diff --git a/python/paddle/fluid/clip.py b/python/paddle/fluid/clip.py index 2188c069b8bfce297215b73569765ff195e07998..98030f94a35230ba2fcad20f2e034b6c8fe2747b 100644 --- a/python/paddle/fluid/clip.py +++ b/python/paddle/fluid/clip.py @@ -360,7 +360,7 @@ def set_gradient_clip(clip, param_list=None, program=None): import paddle.fluid as fluid def network(): - image = fluid.layers.data(name='image', shape=[28], dtype='float32') + image = fluid.data(name='image', shape=[None, 28], dtype='float32') param_attr1 = fluid.ParamAttr("fc1_param") fc1 = fluid.layers.fc(image, size=10, param_attr=param_attr1) param_attr2 = fluid.ParamAttr("fc2_param") diff --git a/python/paddle/fluid/optimizer.py b/python/paddle/fluid/optimizer.py index 3e9c9431595ad6aa8286b7b06146f1a03f7ecba2..c6ed4385e4de73f40f5c43ccd505ba4be8768b98 100644 --- a/python/paddle/fluid/optimizer.py +++ b/python/paddle/fluid/optimizer.py @@ -1851,7 +1851,7 @@ class AdadeltaOptimizer(Optimizer): import paddle.fluid as fluid - image = fluid.layers.data(name='image', shape=[28], dtype='float32') + image = fluid.data(name='image', shape=[None, 28], dtype='float32') fc = fluid.layers.fc(image, size=10) cost = fluid.layers.reduce_mean(fc) optimizer = fluid.optimizer.Adadelta( diff --git a/python/paddle/fluid/param_attr.py b/python/paddle/fluid/param_attr.py index ebf0f2e0cbc951cd30e4ca8593d2bbe5b620b65f..94c9af3d1e1edb51b00b68a71450cc48d75caa7c 100644 --- a/python/paddle/fluid/param_attr.py +++ b/python/paddle/fluid/param_attr.py @@ -58,7 +58,7 @@ class ParamAttr(object): regularizer=fluid.regularizer.L2Decay(1.0), trainable=True) print(w_param_attrs.name) # "fc_weight" - x = fluid.layers.data(name='X', shape=[1], dtype='float32') + x = fluid.data(name='X', shape=[None, 1], dtype='float32') y_predict = fluid.layers.fc(input=x, size=10, param_attr=w_param_attrs) """ diff --git a/python/paddle/fluid/reader.py b/python/paddle/fluid/reader.py index 769735bb391b5a0c90f47d8ba83337d95353735b..6d2bbe3c1e2e7ba7150f16ea1507ed6d8cf3a067 100644 --- a/python/paddle/fluid/reader.py +++ b/python/paddle/fluid/reader.py @@ -99,7 +99,7 @@ class DataLoader(object): Args: feed_list (list(Variable)|tuple(Variable)): feed variable list. - The variables should be created by :code:`fluid.layers.data()`. + The variables should be created by :code:`fluid.data()`. capacity (int): capacity of the queue maintained in DataLoader. The unit is batch number. Set larger capacity if your reader is fast. @@ -212,8 +212,8 @@ class DataLoader(object): else: raise ValueError('Unsupported data format') - image = fluid.layers.data(name='image', shape=[784], dtype='float32') - label = fluid.layers.data(name='label', shape=[1], dtype='int64') + image = fluid.data(name='image', shape=[None, 784], dtype='float32') + label = fluid.data(name='label', shape=[None, 1], dtype='int64') # Define DataLoader loader = fluid.io.DataLoader.from_generator(feed_list=[image, label], capacity=16, iterable=ITERABLE) @@ -281,8 +281,8 @@ class DataLoader(object): import paddle.fluid as fluid - image = fluid.layers.data(name='image', shape=[784], dtype='float32') - label = fluid.layers.data(name='label', shape=[1], dtype='int64') + image = fluid.data(name='image', shape=[None, 784], dtype='float32') + label = fluid.data(name='label', shape=[None, 1], dtype='int64') dataset = fluid.DatasetFactory().create_dataset("QueueDataset") dataset.set_batch_size(32)