diff --git a/python/paddle/fluid/layers/control_flow.py b/python/paddle/fluid/layers/control_flow.py index 2002b8a95decfd6d6c55538e2dff0a793828dd9b..013a842e1123dd7e330e7e34c776e1c66026456d 100755 --- a/python/paddle/fluid/layers/control_flow.py +++ b/python/paddle/fluid/layers/control_flow.py @@ -2488,9 +2488,6 @@ def _error_message(what, arg_name, op_name, right_value, error_value): def case(pred_fn_pairs, default=None, name=None): ''' :api_attr: Static Graph - :alias_main: paddle.nn.case - :alias: paddle.nn.case,paddle.nn.control_flow.case - :old_api: paddle.fluid.layers.case This operator works like an if-elif-elif-else chain. @@ -2500,7 +2497,7 @@ def case(pred_fn_pairs, default=None, name=None): name(str, optional): The default value is None. Normally there is no need for user to set this property. For more information, please refer to :ref:`api_guide_Name`. Returns: - Variable|list(Variable): Tensors returned by the callable from the first pair whose pred is True, + Tensor|list(Tensor): Tensors returned by the callable from the first pair whose pred is True, or Tensors returned by ``default`` if no pred in ``pred_fn_pairs`` is True and ``default`` is not None, or Tensors returned by the last callable in ``pred_fn_pairs`` if no pred in ``pred_fn_pairs`` is True and ``default`` is None. @@ -2508,45 +2505,47 @@ def case(pred_fn_pairs, default=None, name=None): TypeError: If the type of ``pred_fn_pairs`` is not list or tuple. TypeError: If the type of elements in ``pred_fn_pairs`` is not tuple. TypeError: If the size of tuples in ``pred_fn_pairs`` is not 2. - TypeError: If the first element of 2-tuple in ``pred_fn_pairs`` is not Variable. + TypeError: If the first element of 2-tuple in ``pred_fn_pairs`` is not a Tensor. TypeError: If the second element of 2-tuple in ``pred_fn_pairs`` is not callable. TypeError: If ``default`` is not None but it is not callable. Examples: .. code-block:: python - import paddle.fluid as fluid - import paddle.fluid.layers as layers + import paddle + + paddle.enable_static() def fn_1(): - return layers.fill_constant(shape=[1, 2], dtype='float32', value=1) + return paddle.fill_constant(shape=[1, 2], dtype='float32', value=1) def fn_2(): - return layers.fill_constant(shape=[2, 2], dtype='int32', value=2) + return paddle.fill_constant(shape=[2, 2], dtype='int32', value=2) def fn_3(): - return layers.fill_constant(shape=[3], dtype='int32', value=3) + return paddle.fill_constant(shape=[3], dtype='int32', value=3) - main_program = fluid.default_startup_program() - startup_program = fluid.default_main_program() - with fluid.program_guard(main_program, startup_program): - x = layers.fill_constant(shape=[1], dtype='float32', value=0.3) - y = layers.fill_constant(shape=[1], dtype='float32', value=0.1) - z = layers.fill_constant(shape=[1], dtype='float32', value=0.2) + main_program = paddle.static.default_startup_program() + startup_program = paddle.static.default_main_program() - pred_1 = layers.less_than(z, x) # true: 0.2 < 0.3 - pred_2 = layers.less_than(x, y) # false: 0.3 < 0.1 - pred_3 = layers.equal(x, y) # false: 0.3 == 0.1 + with paddle.static.program_guard(main_program, startup_program): + x = paddle.fill_constant(shape=[1], dtype='float32', value=0.3) + y = paddle.fill_constant(shape=[1], dtype='float32', value=0.1) + z = paddle.fill_constant(shape=[1], dtype='float32', value=0.2) + + pred_1 = paddle.less_than(z, x) # true: 0.2 < 0.3 + pred_2 = paddle.less_than(x, y) # false: 0.3 < 0.1 + pred_3 = paddle.equal(x, y) # false: 0.3 == 0.1 # Call fn_1 because pred_1 is True - out_1 = layers.case( + out_1 = paddle.static.nn.case( pred_fn_pairs=[(pred_1, fn_1), (pred_2, fn_2)], default=fn_3) # Argument default is None and no pred in pred_fn_pairs is True. fn_3 will be called. # because fn_3 is the last callable in pred_fn_pairs. - out_2 = layers.case(pred_fn_pairs=[(pred_2, fn_2), (pred_3, fn_3)]) + out_2 = paddle.static.nn.case(pred_fn_pairs=[(pred_2, fn_2), (pred_3, fn_3)]) - exe = fluid.Executor(fluid.CPUPlace()) + exe = paddle.static.Executor(paddle.CPUPlace()) res_1, res_2 = exe.run(main_program, fetch_list=[out_1, out_2]) print(res_1) # [[1. 1.]] print(res_2) # [3 3 3] diff --git a/python/paddle/nn/__init__.py b/python/paddle/nn/__init__.py index 79583f344f0c1f642586c4a8ecc08f2aa4e24008..47a8668362e5e0b3901cda602b483d3e96bce29a 100644 --- a/python/paddle/nn/__init__.py +++ b/python/paddle/nn/__init__.py @@ -38,7 +38,6 @@ from .clip import GradientClipByValue #DEFINE_ALIAS # from .clip import set_gradient_clip #DEFINE_ALIAS from .clip import clip #DEFINE_ALIAS from .clip import clip_by_norm #DEFINE_ALIAS -from .control_flow import case #DEFINE_ALIAS from .control_flow import cond #DEFINE_ALIAS # from .control_flow import DynamicRNN #DEFINE_ALIAS # from .control_flow import StaticRNN #DEFINE_ALIAS diff --git a/python/paddle/nn/control_flow.py b/python/paddle/nn/control_flow.py index d3b1ec700fe1a7fa5b2ece70b1d320cee36342f9..85f2fbcbe6eccf0052a10fce2960211be2244af4 100644 --- a/python/paddle/nn/control_flow.py +++ b/python/paddle/nn/control_flow.py @@ -13,14 +13,12 @@ # limitations under the License. # TODO: define the control flow api -from ..fluid.layers import case #DEFINE_ALIAS from ..fluid.layers import cond #DEFINE_ALIAS from ..fluid.layers import while_loop #DEFINE_ALIAS from ..fluid.layers import switch_case #DEFINE_ALIAS __all__ = [ - 'case', 'cond', # 'DynamicRNN', # 'StaticRNN', diff --git a/python/paddle/static/nn/__init__.py b/python/paddle/static/nn/__init__.py index 91da0926b1870bb4a7999e62965c135dcf36bf25..51d295d050ea8dc1ecf225666888956208a359f4 100644 --- a/python/paddle/static/nn/__init__.py +++ b/python/paddle/static/nn/__init__.py @@ -17,6 +17,7 @@ __all__ = [ 'batch_norm', 'embedding', 'bilinear_tensor_product', + 'case', 'conv2d', 'conv2d_transpose', 'conv3d', @@ -39,6 +40,7 @@ __all__ = [ from ...fluid.layers import fc #DEFINE_ALIAS from ...fluid.layers import batch_norm #DEFINE_ALIAS from ...fluid.layers import bilinear_tensor_product #DEFINE_ALIAS +from ...fluid.layers import case #DEFINE_ALIAS from ...fluid.layers import conv2d #DEFINE_ALIAS from ...fluid.layers import conv2d_transpose #DEFINE_ALIAS from ...fluid.layers import conv3d #DEFINE_ALIAS