43 lines
890 B
Python
43 lines
890 B
Python
import torch
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from dnc.dnc import DNC
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def test_dnc():
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"""smoke test"""
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memory_size = 16
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word_size = 16
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num_reads = 4
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num_writes = 1
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clip_value = 20
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input_size = 4
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hidden_size = 64
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output_size = input_size
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batch_size = 16
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time_steps = 64
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access_config = {
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"memory_size": memory_size,
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"word_size": word_size,
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"num_reads": num_reads,
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"num_writes": num_writes,
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}
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controller_config = {
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"input_size": input_size + num_reads * word_size,
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"hidden_size": hidden_size,
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}
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dnc = DNC(
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access_config=access_config,
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controller_config=controller_config,
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output_size=output_size,
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clip_value=clip_value,
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)
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inputs = torch.randn((time_steps, batch_size, input_size))
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state = None
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for input in inputs:
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output, state = dnc(input, state)
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