COMPID-345 Add caffe_data_extractor.py script and the instructions

Change-Id: Ibb84b2060c4d6362be9ce4b1757e273e013de618
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78630
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 34 insertions, 0 deletions

diff --git a/scripts/caffe_data_extractor.py b/scripts/caffe_data_extractor.py
new file mode 100755
index 0000000000..09ea0b86b0
--- /dev/null
+++ b/scripts/caffe_data_extractor.py
@@ -0,0 +1,34 @@
+#!/usr/bin/env python
+import argparse
+
+import caffe
+import numpy as np
+import scipy.io
+
+
+if __name__ == "__main__":
+    # Parse arguments
+    parser = argparse.ArgumentParser('Extract CNN hyper-parameters')
+    parser.add_argument('-m', dest='modelFile', type=str, required=True, help='Caffe model file')
+    parser.add_argument('-n', dest='netFile', type=str, required=True, help='Caffe netlist')
+    args = parser.parse_args()
+
+    # Create Caffe Net
+    net = caffe.Net(args.netFile, 1, weights=args.modelFile)
+
+    # Read and dump blobs
+    for name, blobs in net.params.iteritems():
+        print 'Name: {0}, Blobs: {1}'.format(name, len(blobs))
+        for i in range(len(blobs)):
+            # Weights
+            if i == 0:
+                outname = name + "_w"
+            # Bias
+            elif i == 1:
+                outname = name + "_b"
+            else:
+                pass
+
+            print("%s : %s" % (outname, blobs[i].data.shape))
+            # Dump as binary
+            blobs[i].data.tofile(outname + ".dat")