wehub-resource-sync
49 lines
1.8 KiB
Python
49 lines
1.8 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 set_layer_name
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from paddle.tensorrt.register import converter_registry
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@converter_registry.register("pd_op.grid_sample")
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def grid_sample_converter(network, paddle_op, inputs):
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input_tensor, grid_tensor = inputs
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padding = paddle_op.attrs().get("paddings", [0, 0])
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mode = paddle_op.attrs().get("mode", "bilinear")
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padding_mode = paddle_op.attrs().get("padding_mode", "zeros")
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align_corners = paddle_op.attrs().get("align_corners", True)
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if padding_mode == "zeros":
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sample_mode = trt.SampleMode.FILL
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elif padding_mode == "border":
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sample_mode = trt.SampleMode.CLAMP
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elif padding_mode == "reflection":
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sample_mode = trt.SampleMode.REFLECT
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if mode == "nearest":
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interpolation_mode = trt.InterpolationMode.NEAREST
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elif mode == "bilinear":
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interpolation_mode = trt.InterpolationMode.LINEAR
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grid_sample_layer = network.add_grid_sample(input_tensor, grid_tensor)
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grid_sample_layer.interpolation_mode = interpolation_mode
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grid_sample_layer.align_corners = align_corners
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grid_sample_layer.sample_mode = sample_mode
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set_layer_name(grid_sample_layer, paddle_op)
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return grid_sample_layer.get_output(0)
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