chore: import upstream snapshot with attribution
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# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved
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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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# http://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 paddle.tensorrt.converter_utils import set_layer_name
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from paddle.tensorrt.register import converter_registry
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@converter_registry.register("pd_op.einsum")
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def convert_einsum(network, paddle_op, inputs):
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equation = paddle_op.attrs().get("equation", "")
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layer = network.add_einsum(inputs[0], equation)
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set_layer_name(layer, paddle_op)
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output_tensor = layer.get_output(0)
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return output_tensor
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