chore: import upstream snapshot with attribution

python/paddle/tensorrt/impls/conv.py

@@ -0,0 +1,35 @@
+# Copyright (c) 2024 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.
+
+
+from paddle.tensorrt.converter_utils import (
+    convert_conv2d,
+    convert_conv3d,
+)
+from paddle.tensorrt.register import converter_registry
+
+
+@converter_registry.register("pd_op.depthwise_conv2d")
+@converter_registry.register("pd_op.conv2d")
+@converter_registry.register("pd_op.fused_conv2d_add_act")
+@converter_registry.register("pd_op.conv2d_transpose")
+@converter_registry.register("pd_op.depthwise_conv2d_transpose")
+def conv2d_converter(network, paddle_op, inputs):
+    return convert_conv2d(network, paddle_op, inputs)
+
+
+@converter_registry.register("pd_op.conv3d_transpose")
+@converter_registry.register("pd_op.conv3d")
+def conv3d_converter(network, paddle_op, inputs):
+    return convert_conv3d(network, paddle_op, inputs)