programmatically create train folder

marcelovca90 · Jun 28, 2022 · 56e32c9 · 56e32c9
1 parent 8a85068
commit 56e32c9
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diff --git a/experiments/scenario-9-sbrt-timed-08M/baseline/test.py b/experiments/scenario-9-sbrt-timed-08M/baseline/test.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-08M/by-epoch/DL-CD-MAP-GPU-EP.py b/experiments/scenario-9-sbrt-timed-08M/by-epoch/DL-CD-MAP-GPU-EP.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-08M/by-topology-4-layers/DL-CD-MAP-GPU-4L.py b/experiments/scenario-9-sbrt-timed-08M/by-topology-4-layers/DL-CD-MAP-GPU-4L.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-08M/by-topology-5-layers/DL-CD-MAP-GPU-5L.py b/experiments/scenario-9-sbrt-timed-08M/by-topology-5-layers/DL-CD-MAP-GPU-5L.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-08M/by-topology-6-layers/DL-CD-MAP-GPU-6L.py b/experiments/scenario-9-sbrt-timed-08M/by-topology-6-layers/DL-CD-MAP-GPU-6L.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-16M/baseline/test.py b/experiments/scenario-9-sbrt-timed-16M/baseline/test.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-16M/by-epoch/DL-CD-MAP-GPU-EP.py b/experiments/scenario-9-sbrt-timed-16M/by-epoch/DL-CD-MAP-GPU-EP.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-16M/by-topology-4-layers/DL-CD-MAP-GPU-4L.py b/experiments/scenario-9-sbrt-timed-16M/by-topology-4-layers/DL-CD-MAP-GPU-4L.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-16M/by-topology-5-layers/DL-CD-MAP-GPU-5L.py b/experiments/scenario-9-sbrt-timed-16M/by-topology-5-layers/DL-CD-MAP-GPU-5L.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)

diff --git a/experiments/scenario-9-sbrt-timed-16M/by-topology-6-layers/DL-CD-MAP-GPU-6L.py b/experiments/scenario-9-sbrt-timed-16M/by-topology-6-layers/DL-CD-MAP-GPU-6L.py
@@ -46,6 +46,7 @@
 import sys
 import tensorflow as tf_tmp
 import timeit
+import os
 #get_ipython().run_line_magic('matplotlib', 'inline')
 print(K.backend())
 
@@ -263,6 +264,8 @@ def polar_transform_iter(u):
 dump['meta']['start_time'] = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
 dump['exec'] = {}
 
+os.makedirs(f"./train", exist_ok=True)
+
 for code in codes:
 
     train_SNR_Es = train_SNR_Eb[code] + 10*np.log10(k/N)