wehub-resource-sync
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
# 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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# import tensorrt as trt
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# from paddle.tensorrt.converter_utils import get_axes_for_reduce_op, set_layer_name
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# from paddle.tensorrt.register import converter_registry
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# @converter_registry.register("pd_op.mean")
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# def mean_converter(network, paddle_op, inputs):
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# input_tensor = inputs[0]
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# keep_dim = paddle_op.attrs().get("keepdim")
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# dim = paddle_op.attrs().get("axis")
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# mean_layer = network.add_reduce(
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# input_tensor,
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# trt.ReduceOperation.AVG,
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# axes=get_axes_for_reduce_op(dim, network.has_implicit_batch_dimension),
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# keep_dims=keep_dim,
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# )
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# set_layer_name(mean_layer, paddle_op)
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# return mean_layer.get_output(0)
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