plt update net instance, test=model

framework/e2e/PaddleLT_new/binary_search.py

@@ -63,6 +63,7 @@ def __init__(self, commit_list, title, layerfile, testing, perf_decay=None, test
         self.py_cmd = os.environ.get("python_ver")
         self.testing_mode = os.environ.get("TESTING_MODE")
         self.device_place_id = 0
+        self.timeout = 300
 
     def _status_print(self, exit_code, status_str):
         """
@@ -106,7 +107,8 @@ def _precision_debug(self, commit_id):
         exit_code = os.system(
             f"cp -r PaddleLT.py {self.title}.py && "
             f"{self.py_cmd} -m pytest {self.title}.py --title={self.title} "
-            f"--layerfile={self.layerfile} --testing={self.testing} --device_place_id={self.device_place_id}"
+            f"--layerfile={self.layerfile} --testing={self.testing} "
+            f"--device_place_id={self.device_place_id} --timeout={self.timeout}"
         )
 
         if exit_code > 0:

framework/e2e/PaddleLT_new/yaml/dy^dy2stcinn_train_inputspec_benchmark.yml

@@ -0,0 +1,28 @@
+# 暂时没有开发dy2st_train_cinn_inputspec_perf
+testings:
+  dy_train_perf:
+    model_dtype: "float32"
+    Loss:
+      loss_name: "diy.loss.diy_loss.mean_loss"
+    optimizer:
+      optimizer_name: "diy.optimizer.diy_opt.naive_opt"
+      params:
+        opt_api: "paddle.optimizer.SGD"
+        learning_rate: 0.00001
+    step: 1
+
+  dy2st_train_cinn_inputspec_perf:
+    model_dtype: "float32"
+    Loss:
+      loss_name: "diy.loss.diy_loss.mean_loss"
+    optimizer:
+      optimizer_name: "diy.optimizer.diy_opt.naive_opt"
+      params:
+        opt_api: "paddle.optimizer.SGD"
+        learning_rate: 0.00001
+    step: 1
+
+compare:
+  -
+    baseline: 'dy_train_perf'
+    latest: 'dy2st_train_cinn_inputspec_perf'

framework/e2e/PaddleLT_new/yaml/dy^dy_train^export_st_inputspec^ppinfer_new_exc_pir.yml

@@ -0,0 +1,28 @@
+testings:
+  dy_train:
+    model_dtype: "float32"
+    Loss:
+      loss_name: "diy.loss.diy_loss.mean_loss"
+    optimizer:
+      optimizer_name: "diy.optimizer.diy_opt.naive_opt"
+      params:
+        opt_api: "paddle.optimizer.SGD"
+        learning_rate: 0.00001
+    step: 5
+    return_net_instance: "True"  # 测试engine会返回模型实例
+
+  jit_save_static_inputspec:
+    use_upstream_net_instance: "True"  # 获取上游模型实例而不是重新构建模型实例
+    model_dtype: "float32"
+
+  paddle_infer_new_exc_pir:
+    jit_save_type: "jit_save_static_inputspec"
+
+compare:
+  -
+    baseline: 'dy2st_train_static_inputspec'
+    latest: 'paddle_infer_new_exc_pir'
+    compare_method: "infer_compare"
+    precision:
+      delta: 0.00001
+      rtol: 0.000001