diff --git a/examples/inception_v3/tests/inception_a.py b/examples/inception_v3/tests/inception_a.py
new file mode 100644
index 0000000..e0f4fd6
--- /dev/null
+++ b/examples/inception_v3/tests/inception_a.py
@@ -0,0 +1,62 @@
+import sys
+
+import torch
+from torchvision.models.inception import InceptionA
+
+sys.path.append("../../../tools")
+from utils import print_cpp_vector
+
+torch.manual_seed(0)
+
+@torch.no_grad()
+def init_weights(m):
+    if isinstance(m, torch.nn.Conv2d):
+        torch.nn.init.uniform_(m.weight)
+    elif isinstance(m, torch.nn.BatchNorm2d):
+        torch.nn.init.uniform_(m.weight)
+        torch.nn.init.uniform_(m.bias)
+
+with torch.no_grad():
+    inception_a = InceptionA(3, 6)
+    inception_a.apply(init_weights)
+
+    # branch1x1
+    print_cpp_vector(torch.flatten(inception_a.branch1x1.conv.weight), "branch1x1_conv_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch1x1.bn.weight), "branch1x1_bn_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch1x1.bn.bias), "branch1x1_bn_bias")
+
+    # branch5x5
+    print_cpp_vector(torch.flatten(inception_a.branch5x5_1.conv.weight), "branch5x5_1_conv_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch5x5_1.bn.weight), "branch5x5_1_bn_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch5x5_1.bn.bias), "branch5x5_1_bn_bias")
+
+    print_cpp_vector(torch.flatten(inception_a.branch5x5_2.conv.weight), "branch5x5_2_conv_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch5x5_2.bn.weight), "branch5x5_2_bn_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch5x5_2.bn.bias), "branch5x5_2_bn_bias")
+
+    # branch3x3dbl
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_1.conv.weight), "branch3x3dbl_1_conv_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_1.bn.weight), "branch3x3dbl_1_bn_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_1.bn.bias), "branch3x3dbl_1_bn_bias")
+
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_2.conv.weight), "branch3x3dbl_2_conv_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_2.bn.weight), "branch3x3dbl_2_bn_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_2.bn.bias), "branch3x3dbl_2_bn_bias")
+
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_3.conv.weight), "branch3x3dbl_3_conv_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_3.bn.weight), "branch3x3dbl_3_bn_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch3x3dbl_3.bn.bias), "branch3x3dbl_3_bn_bias")
+
+    # branchPool
+    print_cpp_vector(torch.flatten(inception_a.branch_pool.conv.weight), "branchPool_2_conv_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch_pool.bn.weight), "branchPool_2_bn_weights")
+    print_cpp_vector(torch.flatten(inception_a.branch_pool.bn.bias), "branchPool_2_bn_bias")
+
+    input_shape = (1, 3, 8, 8)
+    input = torch.randn(input_shape)
+    print_cpp_vector(torch.flatten(input), "input")
+
+    output = inception_a(input)
+    output = torch.flatten(output)
+    print_cpp_vector(output)
+