channel_shuffle_demo.py
import svetoviz_webgpu as sv
# 1. Prepare 12-channel input (Batch=1, Channels=12, H, W)
input_tensor = base_tensor.repeat(4, 1, 1).unsqueeze(0)
# 2. Define ChannelShuffle
# Splits 12 channels into 3 groups and interleaves them
shuffle = nn.ChannelShuffle(groups=3)
def terminal_callback(buffer, message, images, files):
output = shuffle(input_tensor)
buffer.send_system_message(f"Input Channels: {input_tensor.shape[1]}")
buffer.send_system_message(f"Groups: {shuffle.groups}")
buffer.send_system_message("Logic: Reshape(G, C/G) -> Transpose -> Flatten")
buffer.send_system_message("Status: Cross-channel information flow enabled.")
# 3. Start the interactive session
sv.pytorch_web(module=shuffle, terminal_callback=terminal_callback)