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# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import paddle.v2 as paddle
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import paddle.v2.fluid as fluid
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import numpy as np
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prog = fluid.framework.Program()
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block = prog.current_block()
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random_reader = block.create_var(
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type=fluid.core.VarDesc.VarType.READER, name="RandomReader")
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random_reader.desc.set_lod_levels([0, 0])
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create_random_reader_op = block.append_op(
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type="create_random_reader",
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outputs={"Out": random_reader},
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attrs={
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"shape_concat": [1, 2, 1, 1],
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"ranks": [2, 2],
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"min": 0.0,
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"max": 1.0
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})
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batch_reader = block.create_var(
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type=fluid.core.VarDesc.VarType.READER, name=("BatchReader"))
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batch_reader.desc.set_lod_levels([0, 0])
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create_batch_reader_op = block.append_op(
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type="create_batch_reader",
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inputs={"UnderlyingReader": random_reader},
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outputs={"Out": batch_reader},
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attrs={"batch_size": 10})
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out1 = block.create_var(
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type=fluid.core.VarDesc.VarType.LOD_TENSOR,
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name="Out1",
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shape=[10, 2],
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dtype="float32",
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lod_level=1)
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out2 = block.create_var(
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type=fluid.core.VarDesc.VarType.LOD_TENSOR,
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name="Out2",
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shape=[10, 1],
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dtype="float32",
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lod_level=1)
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read_op = block.append_op(
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type="read", inputs={"Reader": batch_reader},
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outputs={"Out": [out1, out2]})
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place = fluid.CPUPlace()
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exe = fluid.Executor(place)
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[res1, res2] = exe.run(prog, fetch_list=[out1, out2])
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if len(res1) == 0 or len(res2) == 0:
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exit(1)
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exit(0)
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