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[PIR]support tensort in PIR by risemeup1 · Pull Request #70652 · PaddlePaddle/Paddle · GitHub
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Merged
risemeup1
merged 39 commits into
PaddlePaddle:develop
from
risemeup1:check_tensorrt_engin_op
Apr 14, 2025
Merged
[PIR]support tensort in PIR #70652
risemeup1
merged 39 commits into
PaddlePaddle:develop
from
risemeup1:check_tensorrt_engin_op
Apr 14, 2025
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… transform_to_trt_program
|
你的PR提交成功，感谢你对开源项目的贡献! |
|
Sorry to inform you that 78a617a's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually. |
0x3878f
previously approved these changes
Apr 1, 2025
YuanRisheng
reviewed
Apr 2, 2025
paddle/phi/infermeta/unary.cc
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| for (auto v : repeat_times_data) { | ||
| std::cout << "v:" << v << std::endl; | ||
| } |
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这个代码有必要吗
paddle/phi/infermeta/unary.cc
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| std::cout << "repeat_times_data[i]:" << repeat_times_data[i] << std::endl; | ||
| std::cout << "x_dim_vec[i]:" << x_dim_vec[i] << std::endl; |
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如果是输出log建议使用GLOG
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| std::cout << "numel:" << value.numel() << std::endl; | ||
| for (auto v : shape.GetData()) { | ||
| std::cout << v << " "; | ||
| } | ||
| // std::cout<<"shape:"<<shape.GetData()<<std::endl; |
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同上
test/ir/inference/auto_scan_test.py
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| # for ( | ||
| # pred_config, | ||
| # nodes_num, | ||
| # threshold, | ||
| # ) in self.sample_predictor_configs(prog_config): | ||
| # if os.path.exists(self.cache_dir): | ||
| # shutil.rmtree(self.cache_dir) | ||
|
|
||
| # if isinstance(threshold, float): | ||
| # atol = threshold | ||
| # rtol = 1e-4 | ||
| # elif isinstance(threshold, (list, tuple)): | ||
| # atol = threshold[0] | ||
| # rtol = threshold[1] | ||
| # else: | ||
| # raise NotImplementedError | ||
|
|
||
| # is_fp8 = ( | ||
| # pred_config.tensorrt_precision_mode() | ||
| # == paddle_infer.PrecisionType.Int8 | ||
| # ) | ||
| # if (not is_fp8 and quant) or ( | ||
| # is_fp8 and not (quant or explicit) | ||
| # ): | ||
| # continue | ||
|
|
||
| # if explicit: | ||
| # pred_config.enable_tensorrt_explicit_quantization() | ||
| # self.assertTrue( | ||
| # pred_config.tensorrt_explicit_quantization_enabled() | ||
| # ) | ||
|
|
||
| # ignore_flag = False | ||
| # for teller, reason, note in self.ignore_cases: | ||
| # if teller(prog_config, pred_config): | ||
| # ignore_flag = True | ||
| # if reason == IgnoreReasons.TRT_NOT_IMPLEMENTED: | ||
| # self.ignore_log( | ||
| # f"[TRT_NOT_IMPLEMENTED] {note} vs {self.inference_config_str(pred_config)}" | ||
| # ) | ||
| # elif reason == IgnoreReasons.TRT_NOT_SUPPORT: | ||
| # self.ignore_log( | ||
| # f"[TRT_NOT_SUPPORT] {note} vs {self.inference_config_str(pred_config)}" | ||
| # ) | ||
| # else: | ||
| # raise NotImplementedError | ||
| # break | ||
|
|
||
| # if ignore_flag: | ||
| # continue | ||
|
|
||
| # try: | ||
| # with paddle.pir_utils.OldIrGuard(): | ||
| # main_program_desc, util_program = create_fake_model( | ||
| # prog_config | ||
| # ) | ||
| # model = main_program_desc.serialize_to_string() | ||
| # place = paddle.base.CPUPlace() | ||
| # executor = paddle.base.Executor(place) | ||
| # scope = paddle.base.Scope() | ||
| # with paddle.base.scope_guard(scope): | ||
| # executor.run(util_program) | ||
| # params = scope.find_var("out_var_0").get_bytes() | ||
| # if quant: | ||
| # model, params = create_quant_model(model, params) | ||
| # feed_data = prog_config.get_feed_data() | ||
| # pred_config_deserialize = paddle_infer.Config( | ||
| # pred_config | ||
| # ) | ||
| # trt_result = self.run_test_config( | ||
| # model, params, prog_config, pred_config, feed_data | ||
| # ) | ||
| # self.assert_tensors_near( | ||
| # atol, rtol, trt_result, baseline_result | ||
| # ) | ||
| # trt_engine_num, paddle_op_num = nodes_num | ||
| # self.assert_op_size(trt_engine_num, paddle_op_num) | ||
| # # deserialize test | ||
| # if trt_engine_num > 0: | ||
| # self.run_test_config( | ||
| # model, | ||
| # params, | ||
| # prog_config, | ||
| # pred_config_deserialize, | ||
| # feed_data, | ||
| # ) | ||
|
|
||
| # self.success_log(f"program_config: {prog_config}") | ||
| # self.success_log( | ||
| # f"predictor_config: {self.inference_config_str(pred_config)}" | ||
| # ) | ||
| # except Exception as e: | ||
| # self.fail_log(f"program_config: {prog_config}") | ||
| # self.fail_log( | ||
| # f"predictor_config: {self.inference_config_str(pred_config)}" | ||
| # ) | ||
| # self.fail_log(f"\033[1;31m ERROR INFO: {e}\033[0m") | ||
| # all_passes = False | ||
|
|
||
| # self.assertTrue(all_passes) |
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这代码怎么都注释掉了，还需要吗
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| # "hard_swish", | ||
| # "hard_sigmoid", | ||
| # "leaky_relu", |
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同上
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| # test for old ir | ||
| self.run_test() | ||
| # self.run_test() |
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同上
| @@ -163,7 +163,7 @@ def generate_trt_nodes_num(attrs, dynamic_shape): | |||
|
|
|||
| def test(self): | |||
| # test for old ir | |||
| self.run_test() | |||
| # self.run_test() | |||
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同上
| @@ -151,7 +151,7 @@ def generate_trt_nodes_num(attrs, dynamic_shape): | |||
|
|
|||
| def test(self): | |||
| # test for old ir | |||
| self.run_test() | |||
| # self.run_test() | |||
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同上
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| # self.trt_param.precision = paddle_infer.PrecisionType.Half | ||
| # yield self.create_inference_config(), generate_trt_nodes_num( | ||
| # attrs, True | ||
| # ), 1e-2 # atol=1e-2 while rtol is 1e-8 |
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同上
… check_tensorrt_engin_op
XieYunshen
previously approved these changes
Apr 8, 2025
YuanRisheng
approved these changes
Apr 14, 2025
YqGe585
pushed a commit
to YqGe585/Paddle
that referenced
this pull request
May 7, 2025
* support pir_trt * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * update * fix codestyle * fix codestyle * fix * fix --------- Co-authored-by: Junjie Zhang <1356732652@qq.com>
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PR Category
Execute Infrastructure
PR Types
Bug fixes
Description
在旧IR单测体系中适配PT来验证新IR下tensort适配情况，修复多个单测
pcard-67164