Support test_imperative parameterlist and layerdict (#38800)

* Rearranged Eager AutoCodeGen directory structure

* Removed USE_OP in Eager AutoCodeGen

* Enabled generation for Operators without Grad/Inputs/Outputs

* Resolved operators without input

* Fixed merge conflicts

* Enabled Eager AutoCodeGen for 10+ more operators

* Refactored Eager AutoCodeGen with more organized helper objects

* Enabled Eager AutoCodeGen for operators with multiple OpBases

* Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument

* Handled Dispensable Inputs/Outputs in Eager AutoCodeGen

* Adjusted function generation/call between Python-C API & Dygraph API

* Synchronized auto-generated Python-C API with Dygraph Forward Functions

* support more eager tensor api

* fix merge compile error

* fix compile error and fit develop code

* support pure CPU

* fix some logic error in eager_mode

* support _varbase_creator in eager mode

* Added safe_initialized interface to EagerTensor for use in processing dispensable inputs

* for eager mode

* refine

* support multiple constructor for eager tensor

* add place related code

* polish code

* specific randint with dtype of int64

* Support pure cpu test

* eager logic

* refine test in pure cpu

* eager logic

* eager logic

* eager logic, test=develop

* skip core.eager when in inference, test=develop

* refine, test=develop

* refine, test=develop

* call RetainGrad after run forward kernel, test=develop

* refine, test=develop

* support dygraph util, meta, guard test

* eager test case

* support inference test

* refine test and fix initializer failed

* modify eagertensor patch method

* add eagertensor.clear_grandint, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* support create varbase and fix retain grad error

* call monkey_patch_varbase in _test_eager_guard, test=develop

* fix windows error

* split clear_gradient to clear_gradient and zero_grads, test=develop

* refine, test=develop

* refine, test=develop

* support test_imperative_basic test in eager mode

* remove additional log in variable.h

* remove additional log in variable.h

* remove additional code create in merge

* eager

* fix some eager logic, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* patch_tensor_method_func, test=develop

* refine, test=develop

* eager test case, test=develop

* refine, test=develop

* Support eager_guard() in container_layerdict&parameterlist

* eager, test=develop

* eager, test=develop

* eager optimizer, test=develop

* eager optimizer, test=develop

* eager test_imperative_optimizer_v2, test=develop

* eager, test=develop

* refine, test=develop

* refine, test=develop

* eager, test=develop

* add resize in share buffer to, test=develop

* eager, test=develop

* fix _share_buffer_to, test=develop

* refine, test=develop

* refine, test=develop

* support eager for dataloader,test=develop
Co-authored-by: Njim19930609 <jim19930609@gmail.com>
Co-authored-by: NJiabinYang <360788950@qq.com>
Co-authored-by: NWang Huan <wanghuan29@baidu.com>
Co-authored-by: Nwanghuancoder <wanghuancoder@163.com>

python/paddle/fluid/tests/unittests/test_imperative_container_layerdict.py

@@ -18,10 +18,11 @@ import unittest
 import numpy as np
 import paddle
 from collections import OrderedDict
+from paddle.fluid.framework import _test_eager_guard
 
 
 class TestLayerDict(unittest.TestCase):
-    def test_layer_dict(self):
+    def func_layer_dict(self):
         layers = OrderedDict([
             ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
             ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
@@ -89,7 +90,12 @@ class TestLayerDict(unittest.TestCase):
         layers_dicts.update(list_format_layers)
         check_layer_dict()
 
-    def test_layer_dict_error_inputs(self):
+    def test_layer_dict(self):
+        with _test_eager_guard():
+            self.func_layer_dict()
+        self.func_layer_dict()
+
+    def func_layer_dict_error_inputs(self):
         layers = [
             ('conv1d', paddle.nn.Conv1D(3, 2, 3), "conv1d"),
             ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
@@ -100,6 +106,11 @@ class TestLayerDict(unittest.TestCase):
 
         self.assertRaises(AssertionError, layers_dicts.update, 1)
 
+    def test_layer_dict_error_inputs(self):
+        with _test_eager_guard():
+            self.func_layer_dict_error_inputs()
+        self.func_layer_dict_error_inputs()
+
 
 if __name__ == '__main__':
     unittest.main()

python/paddle/fluid/tests/unittests/test_imperative_container_parameterlist.py

-# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -18,6 +18,8 @@ import unittest
 import paddle.fluid as fluid
 import numpy as np
 import paddle
+from paddle import _C_ops
+from paddle.fluid.framework import _test_eager_guard
 
 
 class MyLayer(fluid.Layer):
@@ -41,15 +43,7 @@ class MyLayer(fluid.Layer):
 
     def forward(self, x):
         for i, p in enumerate(self.params):
-            tmp = self._helper.create_variable_for_type_inference('float32')
-            self._helper.append_op(
-                type="mul",
-                inputs={"X": x,
-                        "Y": p},
-                outputs={"Out": tmp},
-                attrs={"x_num_col_dims": 1,
-                       "y_num_col_dims": 1})
-            x = tmp
+            x = _C_ops.mul(x, p)
         return x
 
 
@@ -80,8 +74,11 @@ class TestImperativeContainerParameterList(unittest.TestCase):
             loss.backward()
 
     def test_paramter_list(self):
-        self.paramter_list(True)
+        with _test_eager_guard():
+            self.paramter_list(False)
+            self.paramter_list(True)
         self.paramter_list(False)
+        self.paramter_list(True)
 
 
 if __name__ == '__main__':