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[PaddleV3] 添加 pytorch 中 aten::aten_linalg_vector_norm 的算子映射并修复相关模型 #1076

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Oct 31, 2024
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[PaddleV3] 添加 pytorch 中 aten::aten_linalg_vector_norm 的算子映射并修复相关模型 #1076

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5efb67a
[Add] pytorch aten::linalg_vector_norm and fix models
megemini Oct 18, 2024
1b307a7
Merge branch 'develop' of https://github.com/PaddlePaddle/X2Paddle in…
megemini Oct 31, 2024
787a3e3
[Update] black.list
megemini Oct 31, 2024
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1 change: 0 additions & 1 deletion test_benchmark/PyTorch/GRU/deploy_infer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@

import numpy as np
import paddle
import paddle.fluid as fluid
from paddle.inference import Config
from paddle.inference import create_predictor

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8 changes: 2 additions & 6 deletions test_benchmark/PyTorch/GRU/pd_infer.py
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@@ -1,5 +1,4 @@
from __future__ import print_function
import paddle.fluid as fluid
import paddle
import sys
import os
Expand All @@ -14,11 +13,8 @@
# trace
paddle.enable_static()
exe = paddle.static.Executor(paddle.CPUPlace())
[prog, inputs, outputs] = fluid.io.load_inference_model(
dirname="pd_model_trace/inference_model/",
executor=exe,
model_filename="model.pdmodel",
params_filename="model.pdiparams")
[prog, inputs, outputs] = paddle.static.load_inference_model(
path_prefix="pd_model_trace/inference_model/model", executor=exe)
result = exe.run(prog, feed={inputs[0]: input_data}, fetch_list=outputs)
abs_diff = np.max(np.abs(pytorch_result - result[0]))
print(abs_diff)
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1 change: 0 additions & 1 deletion test_benchmark/PyTorch/black.list
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Expand Up @@ -4,7 +4,6 @@ CamembertForQuestionAnswering
DPRContextEncoder
EasyOCR_detector
EasyOCR_recognizer
GRU
MiniFasNet
MockingBird
Roberta
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4 changes: 4 additions & 0 deletions x2paddle/op_mapper/pytorch2paddle/aten.py
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Expand Up @@ -4198,6 +4198,10 @@ def aten_norm(mapper, graph, node):
return current_inputs, current_outputs


# pytorch has one more param: `dtype`, which is not used.
aten_linalg_vector_norm = aten_norm


def aten___not__(mapper, graph, node):
""" 构造对bool型取负的PaddleLayer。
TorchScript示例:
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