tf test table mobilenetv1v2 caffe (#407)

* tf test table mobilenetv1v2 caffe

Author: namizzz

tests/test_conversion_imagenet.py

@@ -668,6 +668,8 @@ def OnnxEmit(original_framework, architecture_name, architecture_path, weight_pa
         'tensorflow_Cntk_resnet_v2_152',            # Cntk Padding is SAME_LOWER, but Tensorflow Padding is SAME_UPPER, in first convolution layer.
         'tensorflow_Cntk_mobilenet_v1_1.0',         # Cntk Padding is SAME_LOWER, but Tensorflow Padding is SAME_UPPER, in first convolution layer.
         'tensorflow_Cntk_mobilenet_v2_1.0_224',     # Cntk Padding is SAME_LOWER, but Tensorflow Padding is SAME_UPPER, in first convolution layer.
+        'tensorflow_Caffe_mobilenet_v1_1.0',        # Caffe No Relu6
+        'tensorflow_Caffe_mobilenet_v2_1.0_224',    # Caffe No Relu6
         'tensorflow_frozen_MXNet_inception_v1',     # different after AvgPool. AVG POOL padding difference between these two framework. MXNet AVGPooling Padding is SAME_LOWER, Tensorflow AVGPooling Padding is SAME_UPPER
         'tensorflow_MXNet_inception_v3',            # different after "InceptionV3/InceptionV3/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool". AVG POOL padding difference between these two framework.
         'darknet_Keras_yolov2',                     # accumulation of small difference

tests/test_tensorflow.py

@@ -20,8 +20,8 @@ def get_test_table():
         'inception_v3'         : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
         'resnet_v1_152'        : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
         'resnet_v2_152'        : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
-        'mobilenet_v1_1.0'     : [TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
-        'mobilenet_v2_1.0_224' : [TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
+        'mobilenet_v1_1.0'     : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
+        'mobilenet_v2_1.0_224' : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
         # 'nasnet-a_large'       : [MXNetEmit, PytorchEmit, TensorflowEmit],
         # 'inception_resnet_v2'  : [CaffeEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
     }}