update doc

Author: shenweichen

docs/source/History.md

@@ -1,5 +1,5 @@
 # History
-- 11/09/2022 : [v0.9.3](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.3) released.Add [EDCN](./Features.html#edcn-enhancing-explicit-and-implicit-feature-interactions-dcn).
+- 11/10/2022 : [v0.9.3](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.3) released.Add [EDCN](./Features.html#edcn-enhancing-explicit-and-implicit-feature-interactions-dcn).
 - 10/15/2022 : [v0.9.2](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.2) released.Support python `3.9`,`3.10`.
 - 06/11/2022 : [v0.9.1](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.1) released.Improve compatibility with tensorflow `2.x`.
 - 09/03/2021 : [v0.9.0](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.0) released.Add multitask learning models:[SharedBottom](./Features.html#sharedbottom),[ESMM](./Features.html#esmm-entire-space-multi-task-model),[MMOE](./Features.html#mmoe-multi-gate-mixture-of-experts) and [PLE](./Features.html#ple-progressive-layered-extraction). [running example](./Examples.html#multitask-learning-mmoe)

docs/source/index.rst

@@ -42,7 +42,7 @@ You can read the latest code and related projects
 
 News
 -----
-11/09/2022 : Add `EDCN` . `Changelog <https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.3>`_
+11/10/2022 : Add `EDCN` . `Changelog <https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.3>`_
 
 10/15/2022 : Support python `3.9` , `3.10` . `Changelog <https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.2>`_
 

tests/models/xDeepFM_test.py

@@ -1,8 +1,7 @@
 import pytest
-import tensorflow as tf
 
 from deepctr.models import xDeepFM
-from ..utils import check_model, get_test_data, SAMPLE_SIZE, get_test_data_estimator, check_estimator
+from ..utils import check_model, get_test_data, SAMPLE_SIZE, get_test_data_estimator, check_estimator, TEST_Estimator
 
 
 @pytest.mark.parametrize(
@@ -15,8 +14,6 @@
 )
 def test_xDeepFM(dnn_hidden_units, cin_layer_size, cin_split_half, cin_activation, sparse_feature_num,
                  dense_feature_dim):
-    if tf.__version__ == "1.15.0" or tf.__version__ == "1.4.0":  # slow in tf 1.15
-        return
     model_name = "xDeepFM"
 
     sample_size = SAMPLE_SIZE
@@ -46,6 +43,9 @@ def test_xDeepFM(dnn_hidden_units, cin_layer_size, cin_split_half, cin_activatio
 )
 def test_xDeepFMEstimator(dnn_hidden_units, cin_layer_size, cin_split_half, cin_activation, sparse_feature_num,
                           dense_feature_dim):
+    import tensorflow as tf
+    if not TEST_Estimator or tf.__version__ == "1.4.0":
+        return
     from deepctr.estimator import xDeepFMEstimator
 
     sample_size = SAMPLE_SIZE
@@ -61,4 +61,4 @@ def test_xDeepFMEstimator(dnn_hidden_units, cin_layer_size, cin_split_half, cin_
 
 
 if __name__ == "__main__":
-    pass
+    pass