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82 lines
2.8 KiB
Python
82 lines
2.8 KiB
Python
# Copyright 2018 Google LLC
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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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# https://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 absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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import sys
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from absl.testing import absltest
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from absl.testing import parameterized
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import numpy as onp
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from jax import test_util as jtu
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from examples import mnist_classifier
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from examples import mnist_classifier_fromscratch
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from examples import mnist_vae
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from examples import resnet50
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sys.path.pop()
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from jax.config import config
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config.parse_flags_with_absl()
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FLAGS = config.FLAGS
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def _CheckShapeAgreement(test_case, init_fun, apply_fun, input_shape):
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result_shape, params = init_fun(input_shape)
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rng = onp.random.RandomState(0)
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result = apply_fun(params, rng.randn(*input_shape).astype(dtype="float32"))
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test_case.assertEqual(result.shape, result_shape)
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class ResNet50Test(jtu.JaxTestCase):
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@parameterized.named_parameters(
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{"testcase_name": "_input_shape={}".format(input_shape),
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"input_shape": input_shape}
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for input_shape in [(2, 20, 25, 2)])
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@jtu.skip_on_flag('jax_enable_x64', True)
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def testIdentityBlockShape(self, input_shape):
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init_fun, apply_fun = resnet50.IdentityBlock(2, (4, 3))
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_CheckShapeAgreement(self, init_fun, apply_fun, input_shape)
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@parameterized.named_parameters(
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{"testcase_name": "_input_shape={}".format(input_shape),
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"input_shape": input_shape}
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for input_shape in [(2, 20, 25, 3)])
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@jtu.skip_on_flag('jax_enable_x64', True)
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def testConvBlockShape(self, input_shape):
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init_fun, apply_fun = resnet50.ConvBlock(3, (2, 3, 4))
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_CheckShapeAgreement(self, init_fun, apply_fun, input_shape)
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@parameterized.named_parameters(
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{"testcase_name": "_num_classes={}_input_shape={}"
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.format(num_classes, input_shape),
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"num_classes": num_classes, "input_shape": input_shape}
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for num_classes in [5, 10]
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for input_shape in [(224, 224, 3, 2)])
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@jtu.skip_on_flag('jax_enable_x64', True)
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def testResNet50Shape(self, num_classes, input_shape):
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init_fun, apply_fun = resnet50.ResNet50(num_classes)
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_CheckShapeAgreement(self, init_fun, apply_fun, input_shape)
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if __name__ == "__main__":
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absltest.main()
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