【SCU】【Paddle TensorRT No.57】Add pd_op.temporal_shift converter
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你的PR提交成功，感谢你对开源项目的贡献! |
74 tasks
| return false; | ||
| } | ||
| #if IS_TRT_VERSION_LT(8200) | ||
| VLOG(3) << "temporal_shift is not supported when TensorRT < 8.2"; |
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temporal_shift和TensorRT的版本有关联吗？
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旧版本的好像有看到，但是后面说默认tensorrt>8.4了，已去掉。
lizexu123
reviewed
Dec 13, 2024
| post_pad = add_1D_constant_layer(network, [0, 1, 0, 0, 0]) | ||
| dims = 5 | ||
| zeros = add_1D_constant_layer(network, [0] * dims) | ||
| start = trt_sum(network, zeros, pre_pad) |
| slice3_layer.set_input(2, slice_size3) | ||
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| if slice_c == 0: | ||
| concat_inputs = [slice2_layer.get_output(0), slice3_layer.get_output(0)] |
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这个concat_inputs前面没定义的话，会报错吧，建议前面先定义一个
| reshape_layer.reshape_dims = trt.Dims(inputs[0].shape) | ||
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| if data_format == "NHWC": | ||
| transpose_layer = network.add_shuffle(reshape_layer.get_output(0)) |
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这个改个名字吧，和前面的transpose_layer重名了，相当于重新赋值了
| concat_layer.axis = 2 | ||
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| # Reshape output to [N*T,C,H,W] | ||
| reshape_layer = network.add_shuffle(concat_layer.get_output(0)) |
| self.min_shape = {"x": [4, 9, 7, 7]} | ||
| self.max_shape = {"x": [8, 9, 7, 7]} | ||
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| def test_trt_result(self): |
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PR Category
User Experience
PR Types
New features
Description
新增了
pd_op.temporal_shiftMarker和Converter