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- /**
- * \file dnn/test/naive/softmax.cpp
- * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
- *
- * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or
- * implied.
- */
- #include "test/naive/fixture.h"
-
- #include "megdnn/oprs/nn.h"
- #include "test/common/checker.h"
-
- using namespace megdnn;
- using namespace test;
-
- TEST_F(NAIVE, SOFTMAX_FORWARD) {
- Checker<Softmax> checker(handle(), /* check_dispatch */ false);
-
- Softmax::Param param{0};
-
- TensorND input = TensorValue(
- {2, 2, 2, 2}, dtype::Float32(),
- {0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.});
-
- TensorND output = TensorValue(
- {2, 2, 2, 2}, dtype::Float32(),
- {0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.9997,
- 0.9997, 0.9997, 0.9997, 0.9997, 0.9997, 0.9997, 0.9997});
-
- checker.set_param(param).exect(Testcase{input, {}}, Testcase{{}, output});
- }
-
- TEST_F(NAIVE, SOFTMAX_BACKWARD) {
- Checker<SoftmaxBackward> checker(handle(), /* check_dispatch */ false);
-
- Softmax::Param param{0};
-
- TensorND input = TensorValue(
- {2, 2, 2, 2}, dtype::Float32(),
- {0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.9997,
- 0.9997, 0.9997, 0.9997, 0.9997, 0.9997, 0.9997, 0.9997});
-
- TensorND diff = TensorValue(
- {2, 2, 2, 2}, dtype::Float32(),
- {1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.});
-
- TensorND output = TensorValue(
- {2, 2, 2, 2}, dtype::Float32(),
- {0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.});
-
- checker.set_param(param).exect(Testcase{input, diff, {}}, Testcase{{}, {}, output});
- }
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