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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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from __future__ import print_function
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import unittest
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import paddle.fluid as fluid
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import paddle.fluid.core as core
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from paddle.fluid import debugger
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from paddle.fluid.framework import Program
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class TestDebugger(unittest.TestCase):
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def test_debug_str(self):
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p = Program()
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b = p.current_block()
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#selected_rows
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b.create_var(
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name='selected_rows',
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dtype="float32",
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shape=[5, 10],
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type=core.VarDesc.VarType.SELECTED_ROWS)
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#tensor array
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b.create_var(
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name='tensor_array',
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shape=[5, 10],
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type=core.VarDesc.VarType.LOD_TENSOR_ARRAY)
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#operator
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mul_x = b.create_parameter(
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dtype="float32", shape=[5, 10], lod_level=0, name="mul.x")
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mul_y = b.create_var(
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dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
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mul_out = b.create_var(
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dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
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b.append_op(
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type="mul",
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inputs={"X": mul_x,
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"Y": mul_y},
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outputs={"Out": mul_out},
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attrs={"x_num_col_dims": 1})
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print(debugger.pprint_program_codes(p))
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debugger.draw_block_graphviz(p.block(0), path="./test.dot")
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if __name__ == '__main__':
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unittest.main()
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