You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
75 lines
2.4 KiB
75 lines
2.4 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import paddle.v2 as paddle
|
|
import paddle.v2.fluid as fluid
|
|
import numpy as np
|
|
|
|
prog = fluid.framework.Program()
|
|
block = prog.current_block()
|
|
|
|
random_reader = block.create_var(
|
|
type=fluid.core.VarDesc.VarType.READER, name="RandomDataGenerator")
|
|
random_reader.desc.set_lod_levels([0, 0])
|
|
|
|
create_random_data_generator_op = block.append_op(
|
|
type="create_random_data_generator",
|
|
outputs={"Out": random_reader},
|
|
attrs={
|
|
"shape_concat": [1, 2, 1, 1],
|
|
"ranks": [2, 2],
|
|
"min": 0.0,
|
|
"max": 1.0
|
|
})
|
|
shuffle_reader = block.create_var(
|
|
type=fluid.core.VarDesc.VarType.READER, name="ShuffleReader")
|
|
shuffle_reader.desc.set_lod_levels([0, 0])
|
|
|
|
create_shuffle_reader_op = block.append_op(
|
|
type="create_shuffle_reader",
|
|
inputs={"UnderlyingReader": random_reader},
|
|
outputs={"Out": shuffle_reader},
|
|
attrs={"buffer_size": 7})
|
|
|
|
batch_reader = block.create_var(
|
|
type=fluid.core.VarDesc.VarType.READER, name="BatchReader")
|
|
batch_reader.desc.set_lod_levels([1, 1])
|
|
|
|
create_batch_reader_op = block.append_op(
|
|
type="create_batch_reader",
|
|
inputs={"UnderlyingReader": shuffle_reader},
|
|
outputs={"Out": batch_reader},
|
|
attrs={"batch_size": 10})
|
|
|
|
out1 = block.create_var(type=fluid.core.VarDesc.VarType.LOD_TENSOR, name="Out1")
|
|
out2 = block.create_var(type=fluid.core.VarDesc.VarType.LOD_TENSOR, name="Out2")
|
|
|
|
read_op = block.append_op(
|
|
type="read", inputs={"Reader": batch_reader},
|
|
outputs={"Out": [out1, out2]})
|
|
|
|
place = fluid.CPUPlace()
|
|
exe = fluid.Executor(place)
|
|
|
|
[res1, res2] = exe.run(prog, fetch_list=[out1, out2], return_numpy=False)
|
|
|
|
test_pass = res1.lod() == [range(0, 11)] and res1.lod() == [
|
|
range(0, 11)
|
|
] and np.array(res1).shape == (10, 2) and np.array(res2).shape == (10, 1)
|
|
|
|
if not test_pass:
|
|
exit(1)
|
|
|
|
exit(0)
|