chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
@@ -0,0 +1,76 @@
+#   Copyright (c) 2018 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.
+
+import unittest
+
+import nets
+
+import paddle
+
+
+def conv_block(input, num_filter, groups, dropouts):
+    return nets.img_conv_group(
+        input=input,
+        pool_size=2,
+        pool_stride=2,
+        conv_num_filter=[num_filter] * groups,
+        conv_filter_size=3,
+        conv_act='relu',
+        conv_with_batchnorm=True,
+        conv_batchnorm_drop_rate=dropouts,
+        pool_type='max',
+    )
+
+
+class TestLayer(unittest.TestCase):
+    def test_dropout_layer(self):
+        main_program = paddle.static.Program()
+        startup_program = paddle.static.Program()
+        with paddle.static.program_guard(main_program, startup_program):
+            images = paddle.static.data(
+                name='pixel', shape=[-1, 3, 48, 48], dtype='float32'
+            )
+            paddle.nn.functional.dropout(x=images, p=0.5)
+
+        print(str(main_program))
+
+    def test_img_conv_group(self):
+        main_program = paddle.static.Program()
+        startup_program = paddle.static.Program()
+
+        with paddle.static.program_guard(main_program, startup_program):
+            images = paddle.static.data(
+                name='pixel', shape=[-1, 3, 48, 48], dtype='float32'
+            )
+            conv1 = conv_block(images, 64, 2, [0.3, 0])
+            conv_block(conv1, 256, 3, [0.4, 0.4, 0])
+
+        print(str(main_program))
+
+    def test_elementwise_add_with_act(self):
+        main_program = paddle.static.Program()
+        startup_program = paddle.static.Program()
+        with paddle.static.program_guard(main_program, startup_program):
+            image1 = paddle.static.data(
+                name='pixel1', shape=[-1, 3, 48, 48], dtype='float32'
+            )
+            image2 = paddle.static.data(
+                name='pixel2', shape=[-1, 3, 48, 48], dtype='float32'
+            )
+            paddle.nn.functional.relu(paddle.add(x=image1, y=image2))
+        print(main_program)
+
+
+if __name__ == '__main__':
+    unittest.main()