refactor 'odd' to 'even' in config sampler

nn_meter/builder/kernel_predictor_builder/data_sampler/config_sampler.py

@@ -63,13 +63,13 @@ class ConcatSampler(BaseConfigSampler):
         return finegrained_sampling_concats(configs, sample_num)
 
 
-class CinOddSampler(BaseConfigSampler):
+class CinEvenSampler(BaseConfigSampler):
 
     def prior_config_sampling(self, sample_num):
-        return sampling_hw_cin_odd(sample_num)
+        return sampling_hw_cin_even(sample_num)
 
     def finegrained_config_sampling(self, configs, sample_num):
-        return finegrained_sampling_hw_cin_odd(configs, sample_num)
+        return finegrained_sampling_hw_cin_even(configs, sample_num)
 
 
 class GlobalAvgPoolSampler(BaseConfigSampler):

nn_meter/builder/kernel_predictor_builder/data_sampler/finegrained_sampler.py

@@ -116,8 +116,8 @@ def finegrained_sampling_hw_cin(cfgs, count):
     return ncfgs
 
 
-def finegrained_sampling_hw_cin_odd(cfgs, count):
-    ''' sampling configs for kernels with hw and cin (only odd values) parameter, in case for split / se / channelshuffle
+def finegrained_sampling_hw_cin_even(cfgs, count):
+    ''' sampling configs for kernels with hw and cin (only even values) parameter, in case for split / se / channelshuffle
     Returned params include: (hw, cin)
     '''
     ncfgs = []

nn_meter/builder/kernel_predictor_builder/data_sampler/prior_distribution_sampler.py

@@ -226,8 +226,8 @@ def sampling_hw_cin(count):
     return ncfgs
 
 
-def sampling_hw_cin_odd(count):
-    ''' sampling configs for kernels with hw and cin (only odd values) parameter, in case for split / se / channelshuffle
+def sampling_hw_cin_even(count):
+    ''' sampling configs for kernels with hw and cin (only even values) parameter, in case for split / se / channelshuffle
     Returned params include: (hw, cin)
     '''
     hws, cins, _, _, _ = read_conv_zoo()

nn_meter/builder/kernel_predictor_builder/data_sampler/utils.py

@@ -32,9 +32,9 @@ __BUILTIN_KERNELS__ = {
     "avgpool_block": ["AvgPoolBlock", "PoolingSampler"],
     "fc_block": ["FCBlock", "FCSampler"],
     "concat_block": ["ConcatBlock", "ConcatSampler"],
-    "split_block": ["SplitBlock", "CinOddSampler"],
-    "channel_shuffle": ["ChannelShuffle", "CinOddSampler"],
-    "se_block": ["SEBlock", "CinOddSampler"],
+    "split_block": ["SplitBlock", "CinEvenSampler"],
+    "channel_shuffle": ["ChannelShuffle", "CinEvenSampler"],
+    "se_block": ["SEBlock", "CinEvenSampler"],
     "globalavgpool_block": ["GlobalAvgPoolBlock", "GlobalAvgPoolSampler"],
     "bn_relu": ["BnRelu", "HwCinSampler"],
     "bn_block": ["BnBlock", "HwCinSampler"],