# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import os os.environ['NNI_PLATFORM'] = 'unittest' import nni import nni.runtime.platform.test as test_platform import nni.trial from unittest import TestCase, main class SmartParamTestCase(TestCase): def setUp(self): params = { 'test_smartparam/choice1/choice': 'a', 'test_smartparam/choice2/choice': '3*2+1', 'test_smartparam/choice3/choice': '[1, 2]', 'test_smartparam/choice4/choice': '{"a", 2}', 'test_smartparam/func/function_choice': 'bar', 'test_smartparam/lambda_func/function_choice': "lambda: 2*3", 'mutable_block_66':{ 'mutable_layer_0':{ 'chosen_layer': 'conv2D(size=5)', 'chosen_inputs': ['y'] } } } nni.trial._params = { 'parameter_id': 'test_trial', 'parameters': params } def test_specified_name(self): val = nni.choice({'a': 'a', '3*2+1': 3*2+1, '[1, 2]': [1, 2], '{"a", 2}': {"a", 2}}, name = 'choice1', key='test_smartparam/choice1/choice') self.assertEqual(val, 'a') val = nni.choice({'a': 'a', '3*2+1': 3*2+1, '[1, 2]': [1, 2], '{"a", 2}': {"a", 2}}, name = 'choice2', key='test_smartparam/choice2/choice') self.assertEqual(val, 7) val = nni.choice({'a': 'a', '3*2+1': 3*2+1, '[1, 2]': [1, 2], '{"a", 2}': {"a", 2}}, name = 'choice3', key='test_smartparam/choice3/choice') self.assertEqual(val, [1, 2]) val = nni.choice({'a': 'a', '3*2+1': 3*2+1, '[1, 2]': [1, 2], '{"a", 2}': {"a", 2}}, name = 'choice4', key='test_smartparam/choice4/choice') self.assertEqual(val, {"a", 2}) def test_func(self): val = nni.function_choice({'foo': foo, 'bar': bar}, name='func', key='test_smartparam/func/function_choice') self.assertEqual(val, 'bar') def test_lambda_func(self): val = nni.function_choice({"lambda: 2*3": lambda: 2*3, "lambda: 3*4": lambda: 3*4}, name = 'lambda_func', key='test_smartparam/lambda_func/function_choice') self.assertEqual(val, 6) def test_mutable_layer(self): layer_out = nni.mutable_layer('mutable_block_66', 'mutable_layer_0', {'conv2D(size=3)': conv2D, 'conv2D(size=5)': conv2D}, {'conv2D(size=3)': {'size':3}, 'conv2D(size=5)': {'size':5}}, [100], {'x':1,'y':2}, 1, 'classic_mode') self.assertEqual(layer_out, [100, 2, 5]) def foo(): return 'foo' def bar(): return 'bar' def conv2D(inputs, size=3): return inputs[0] + inputs[1] + [size] if __name__ == '__main__': main()