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147 lines
4.6 KiB
147 lines
4.6 KiB
# 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 os
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import unittest
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import six
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from paddle import fluid
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class TestIRGraph(unittest.TestCase):
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"""
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TODO(fc500110): `resolve_hazard` api will be tested when it can be used.
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"""
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def test_nodes(self):
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graph = build_graph()
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self.assertTrue(
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{node.name()
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for node in graph.nodes()} == {"x1", "x2", "out", "sum"})
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def test_has_set_get(self):
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graph = build_graph()
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for attr_name in ["int", "float", "string"]:
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self.assertFalse(graph.has(attr_name))
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graph.set("int", 1)
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graph.set("float", 0.5)
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graph.set("string", "string")
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for attr_name in ["int", "float", "string"]:
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self.assertTrue(graph.has(attr_name))
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self.assertTrue(graph.get_int("int") == 1)
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self.assertTrue(graph.get_float("float") == 0.5)
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self.assertTrue(graph.get_string("string") == "string")
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def test_erase(self):
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graph = build_graph()
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graph.set("test", 0)
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self.assertTrue(graph.has("test"))
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graph.erase("test")
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self.assertFalse(graph.has("test"))
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def test_create_var_node(self):
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prog = fluid.core.ProgramDesc()
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block = prog.block(0)
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shape = [10, 20]
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x1 = block.var(six.b("x1"))
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x1.set_type(fluid.core.VarDesc.VarType.LOD_TENSOR)
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x1.set_shape(shape)
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graph = fluid.core.Graph(prog)
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node = graph.create_var_node(x1)
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self.assertTrue(node.node_type() == fluid.core.Node.Type.Variable)
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def test_create_op_node(self):
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prog = fluid.core.ProgramDesc()
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block = prog.block(0)
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sum_op_desc = block.append_op()
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graph = fluid.core.Graph(prog)
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node = graph.create_op_node(sum_op_desc)
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self.assertTrue(node.node_type() == fluid.core.Node.Type.Operation)
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def test_create_control_dep_var(self):
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graph = build_graph()
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name = "__control_var@{}".format(len(graph.nodes()))
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node = graph.create_control_dep_var()
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self.assertTrue(node.name() == name)
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def test_create_empty_node(self):
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prog = fluid.core.ProgramDesc()
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graph = fluid.core.Graph(prog)
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n1 = graph.create_empty_node('x', fluid.core.Node.Type.Operation)
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self.assertTrue(n1.name() == 'x')
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n2 = graph.create_empty_node('y', fluid.core.Node.Type.Variable)
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self.assertTrue(n2.name() == 'y')
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def test_release_nodes(self):
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graph = build_graph()
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nodes = graph.release_nodes()
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self.assertTrue(len(graph.nodes()) == 0)
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self.assertTrue({node.name()
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for node in nodes} == {"x1", "x2", "out", "sum"})
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def test_remove_node(self):
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graph = build_graph()
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nodes = graph.nodes()
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for node in nodes:
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if node.name() == "sum":
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break
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self.assertTrue({node.name()
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for node in nodes} == {"x1", "x2", "out", "sum"})
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nodes.remove(node)
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self.assertTrue({node.name() for node in nodes} == {"x1", "x2", "out"})
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def test_retrieve_node(self):
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graph = build_graph()
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nodes = []
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for i in range(len(graph.nodes())):
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nodes.append(graph.retrieve_node(i))
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for node in nodes:
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self.assertTrue(node in graph.nodes())
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def resolve_hazard(self):
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pass
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def build_graph():
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prog = fluid.core.ProgramDesc()
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block = prog.block(0)
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shape = [10, 20]
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# prepare input/output
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x1 = block.var(six.b("x1"))
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x1.set_type(fluid.core.VarDesc.VarType.LOD_TENSOR)
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x1.set_shape(shape)
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x2 = block.var(six.b("x2"))
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x2.set_type(fluid.core.VarDesc.VarType.LOD_TENSOR)
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x2.set_shape(shape)
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out = block.var(six.b("out"))
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out.set_type(fluid.core.VarDesc.VarType.LOD_TENSOR)
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sum_op_desc = block.append_op()
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sum_op_desc.set_type("sum")
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sum_op_desc.set_input("X", ["x1", "x2"])
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sum_op_desc.set_output("Out", ["out"])
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sum_op_desc.check_attrs()
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sum_op_desc.infer_shape(block)
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graph = fluid.core.Graph(prog)
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return graph
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if __name__ == "__main__":
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unittest.main()
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