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109 lines
4.2 KiB
109 lines
4.2 KiB
# Copyright (c) 2020 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 numpy as np
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import unittest
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import paddle
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import paddle.nn as nn
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import paddle.fluid as fluid
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import paddle.fluid.framework as framework
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import paddle.nn.initializer as initializer
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from paddle.fluid.core import VarDesc
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DELTA = 0.00001
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def check_cast_op(op):
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return op.type == 'cast' and \
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op.attr('in_dtype') == VarDesc.VarType.FP32 and \
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op.attr('out_dtype') == VarDesc.VarType.FP16
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class TestConstantInitializer(unittest.TestCase):
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def static_test_constant_initializer_common(self,
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init_inst,
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dtype="float32",
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value_target=0.0):
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paddle.enable_static()
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program = framework.Program()
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block = program.global_block()
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for _ in range(2):
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block.create_parameter(
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dtype=dtype,
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shape=[5, 10],
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lod_level=0,
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name="param",
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initializer=init_inst)
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num_ops = 2 if dtype == "float16" else 1
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self.assertEqual(len(block.ops), num_ops)
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init_op = block.ops[0]
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self.assertEqual(init_op.type, 'fill_constant')
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self.assertAlmostEqual(init_op.attr('value'), value_target, delta=DELTA)
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paddle.disable_static()
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return block
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def test_constant_initializer_default_value_static(self, dtype="float32"):
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"""Test the constant initializer with default value in static graph
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"""
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block = self.static_test_constant_initializer_common(
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init_inst=initializer.Constant(), dtype=dtype, value_target=0.0)
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return block
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def test_constant_initializer_default_value_dygraph(self, dtype="float32"):
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"""Test constant initializer with supplied value in dygraph
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"""
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with fluid.dygraph.guard():
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linear = nn.Linear(2, 4, weight_attr=nn.initializer.Constant())
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mat_target = np.ones((2, 4), dtype=dtype) * 0.0
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mat_linear = linear.weight.numpy()
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mismatch = np.sum(
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(mat_target - mat_linear) * (mat_target - mat_linear))
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self.assertAlmostEqual(mismatch, 0.0, delta=DELTA)
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def test_constant_initializer_static(self, dtype="float32"):
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"""Test constant initializer with supplied value in static graph
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"""
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block = self.static_test_constant_initializer_common(
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init_inst=initializer.Constant(2.3), dtype=dtype, value_target=2.3)
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return block
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def test_constant_initializer_dygraph(self, dtype="float32"):
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"""Test constant initializer with supplied value in dygraph
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"""
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with fluid.dygraph.guard():
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linear = nn.Linear(
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2, 4, weight_attr=nn.initializer.Constant(value=2.0))
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mat_target = np.ones((2, 4), dtype=dtype) * 2.0
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mat_linear = linear.weight.numpy()
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mismatch = np.sum(
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(mat_target - mat_linear) * (mat_target - mat_linear))
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self.assertAlmostEqual(mismatch, 0.0, delta=DELTA)
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def test_constant_initializer_fp16(self):
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"""Test constant initializer with float16
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"""
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block = self.test_constant_initializer_default_value_static("float16")
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self.assertTrue(check_cast_op(block.ops[1]))
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block = self.test_constant_initializer_static("float16")
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self.assertTrue(check_cast_op(block.ops[1]))
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self.test_constant_initializer_default_value_dygraph("float16")
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self.test_constant_initializer_dygraph("float16")
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if __name__ == '__main__':
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unittest.main()
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