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python/paddle/fluid/tests/unittests/ipu/test_data_norm_op_ipu.py
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# Copyright (c) 2022 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. | ||
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import unittest | ||
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import numpy as np | ||
import paddle | ||
import paddle.static | ||
from paddle.fluid.tests.unittests.ipu.op_test_ipu import IPUOpTest | ||
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@unittest.skipIf(not paddle.is_compiled_with_ipu(), | ||
"core is not compiled with IPU") | ||
class TestBase(IPUOpTest): | ||
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def setUp(self): | ||
self.set_atol() | ||
self.set_training() | ||
self.set_feed() | ||
self.set_op_attrs() | ||
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def set_op_attrs(self): | ||
self.attrs = {} | ||
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def set_feed(self): | ||
data = np.random.uniform(size=[32, 100]) | ||
self.feed_fp32 = {'x': data.astype(np.float32)} | ||
self.feed_fp16 = {'x': data.astype(np.float16)} | ||
self.feed_shape = [x.shape for x in self.feed_fp32.values()] | ||
self.feed_list = list(self.feed_fp32.keys()) | ||
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@IPUOpTest.static_graph | ||
def build_model(self): | ||
x = paddle.static.data(name=self.feed_list[0], | ||
shape=self.feed_shape[0], | ||
dtype='float32') | ||
x = paddle.static.nn.data_norm(input=x, **self.attrs) | ||
self.fetch_list = [x.name] | ||
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def run_model(self, exec_mode): | ||
self.run_op_test(exec_mode) | ||
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def test(self): | ||
for m in IPUOpTest.ExecutionMode: | ||
if not self.skip_mode(m): | ||
self.build_model() | ||
self.run_model(m) | ||
self.check() | ||
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class TestCase1(TestBase): | ||
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def set_op_attrs(self): | ||
self.attrs = {"in_place": True} | ||
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@IPUOpTest.static_graph | ||
def build_model(self): | ||
x = paddle.static.data(name=self.feed_list[0], | ||
shape=self.feed_shape[0], | ||
dtype='float32') | ||
x = paddle.static.nn.data_norm(input=x, **self.attrs) | ||
x = x + 1 | ||
self.fetch_list = [x.name] | ||
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@unittest.skip("Do not support in_place=True when test single data_norm Op") | ||
class TestCase2(TestBase): | ||
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def set_op_attrs(self): | ||
self.attrs = {"in_place": True} | ||
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class TestCase3(TestBase): | ||
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def set_op_attrs(self): | ||
self.attrs = {"data_layout": "NHWC"} | ||
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class TestCase4(TestBase): | ||
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def set_op_attrs(self): | ||
self.attrs = {"epsilon": 0.001} | ||
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class TestCase5(TestBase): | ||
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def set_op_attrs(self): | ||
self.attrs = {"do_model_average_for_mean_and_var": True} | ||
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class TestCase6(TestBase): | ||
# If enable_scale_and_shift=True, it requires to set values of scale and bias in `param_attr` | ||
def set_op_attrs(self): | ||
self.attrs = { | ||
"param_attr": { | ||
"scale_w": 0.5, | ||
"bias": 0.1 | ||
}, | ||
"enable_scale_and_shift": True | ||
} | ||
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class TestCase7(TestBase): | ||
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def set_op_attrs(self): | ||
self.attrs = { | ||
"param_attr": { | ||
"batch_size": 1e3, | ||
"batch_sum": 0.1, | ||
"batch_square": 1e3, | ||
"scale_w": 0.5, | ||
"bias": 0.1 | ||
}, | ||
"enable_scale_and_shift": True | ||
} | ||
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if __name__ == "__main__": | ||
unittest.main() |