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Generate inception A test inputs

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Matúš Námešný
2024-06-03 19:44:40 +02:00
parent 3fee9fde6f
commit 7c7acd88b5
1 changed files with 62 additions and 0 deletions
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examples/inception_v3/tests/inception_a.py Normal file
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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)