未验证 提交 fe617f95 编写于 作者: 2 201716010711 提交者: GitHub

delete gaussian_random_batch_size_like api (#48394)

上级 32143f44
...@@ -117,7 +117,6 @@ __all__ = [ ...@@ -117,7 +117,6 @@ __all__ = [
'elementwise_mul', 'elementwise_mul',
'gaussian_random', 'gaussian_random',
'sampling_id', 'sampling_id',
'gaussian_random_batch_size_like',
'sum', 'sum',
'slice', 'slice',
'shape', 'shape',
...@@ -7029,86 +7028,6 @@ def sampling_id(x, min=0.0, max=1.0, seed=0, dtype='float32'): ...@@ -7029,86 +7028,6 @@ def sampling_id(x, min=0.0, max=1.0, seed=0, dtype='float32'):
return out return out
@deprecated(since='1.8.0', update_to="paddle.normal")
@templatedoc()
def gaussian_random_batch_size_like(
input,
shape,
input_dim_idx=0,
output_dim_idx=0,
mean=0.0,
std=1.0,
seed=0,
dtype='float32',
):
"""
${comment}
Args:
input (Variable): ${input_comment}
shape (tuple|list): ${shape_comment}
input_dim_idx (int): ${input_dim_idx_comment}
output_dim_idx (int): ${output_dim_idx_comment}
mean (float): ${mean_comment}
std (float): ${std_comment}
seed (int): ${seed_comment}
dtype(np.dtype|core.VarDesc.VarType|str): The type of output data, float32 or float_64.
Returns:
out (Variable): ${out_comment}
Examples:
.. code-block:: python
import paddle
import paddle.fluid as fluid
paddle.enable_static()
input = fluid.data(name="input", shape=[13, 11], dtype='float32')
out = fluid.layers.gaussian_random_batch_size_like(
input, shape=[-1, 11], mean=1.0, std=2.0)
"""
helper = LayerHelper('gaussian_random_batch_size_like', **locals())
check_type(
input,
'input',
(Variable),
'fluid.layers.gaussian_random_batch_size_like',
)
check_type(
shape,
'shape',
(list, tuple),
'fluid.layers.gaussian_random_batch_size_like',
)
check_dtype(
dtype,
'dtype',
['float16', 'float32', 'int'],
'fluid.layers.gaussian_random_batch_size_like',
)
out = helper.create_variable_for_type_inference(dtype)
c_dtype = convert_np_dtype_to_dtype_(dtype)
helper.append_op(
type='gaussian_random_batch_size_like',
inputs={'Input': input},
outputs={'Out': out},
attrs={
'shape': shape,
'input_dim_idx': input_dim_idx,
'output_dim_idx': output_dim_idx,
'mean': mean,
'std': std,
'seed': seed,
'dtype': c_dtype,
},
)
return out
@templatedoc() @templatedoc()
def sum(x): def sum(x):
""" """
......
...@@ -2921,7 +2921,6 @@ class TestBook(LayerTest): ...@@ -2921,7 +2921,6 @@ class TestBook(LayerTest):
self.not_compare_static_dygraph_set = set( self.not_compare_static_dygraph_set = set(
{ {
"make_gaussian_random", "make_gaussian_random",
"make_gaussian_random_batch_size_like",
"make_kldiv_loss", "make_kldiv_loss",
"make_prelu", "make_prelu",
"make_sampling_id", "make_sampling_id",
...@@ -3580,19 +3579,6 @@ class TestBook(LayerTest): ...@@ -3580,19 +3579,6 @@ class TestBook(LayerTest):
out = layers.sampling_id(x) out = layers.sampling_id(x)
return out return out
def make_gaussian_random_batch_size_like(self):
with program_guard(
fluid.default_main_program(), fluid.default_startup_program()
):
input = self._get_data(
name="input", shape=[13, 11], dtype='float32'
)
out = layers.gaussian_random_batch_size_like(
input, shape=[-1, 11], mean=1.0, std=2.0
)
return out
def make_sum(self): def make_sum(self):
with program_guard( with program_guard(
fluid.default_main_program(), fluid.default_startup_program() fluid.default_main_program(), fluid.default_startup_program()
......
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