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mht c0e5aa7d0a Fix ResNet BatchNorm parameter loading and enhance BN1 debugging. Corrected loading of BatchNorm running_mean, running_var, and num_batches_tracked parameters in C++ ResNet BottleneckImpl and ResNetImpl to use direct member assignment instead of named_buffers(). This resolved discrepancies with Python's BatchNorm behavior. Added detailed intermediate output saving for bn1 in both C++ ResNet and Python comparison script to facilitate debugging. Ensured Python comparison script correctly loads and compares these new ResNet intermediate tensors. This series of changes led to numerical equivalence for ResNet conv1, bn1, and subsequently layer1-4 outputs between Python and C++. 2 months ago
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classifier_weights_doc.txt Intial commit 2 months ago
feature_extractor_0_weight.pt Intial commit 2 months ago
filter_initializer_filter_conv_bias.pt Intial commit 2 months ago
filter_initializer_filter_conv_weight.pt Intial commit 2 months ago
filter_optimizer_filter_reg.pt Intial commit 2 months ago
filter_optimizer_label_map_predictor_weight.pt Intial commit 2 months ago
filter_optimizer_log_step_length.pt Intial commit 2 months ago
filter_optimizer_spatial_weight_predictor_weight.pt Intial commit 2 months ago
filter_optimizer_target_mask_predictor_0_weight.pt Intial commit 2 months ago