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lucidrains 2025-10-10 11:59:18 -07:00
parent 9230267d34
commit 5df3e69583
3 changed files with 15 additions and 1 deletions
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9
dreamer4/dreamer4.py
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@ -367,6 +367,7 @@ class ActionEmbedder(Module):
embeds, # (... d) embeds, # (... d)
discrete_action_types = None, # (na) discrete_action_types = None, # (na)
continuous_action_types = None, # (na) continuous_action_types = None, # (na)
return_split_discrete = False
): # (... discrete_na), (... continuous_na 2) ): # (... discrete_na), (... continuous_na 2)
@ -389,6 +390,14 @@ class ActionEmbedder(Module):
discrete_action_logits = einsum(embeds, discrete_action_unembed, '... d, na d -> ... na') discrete_action_logits = einsum(embeds, discrete_action_unembed, '... d, na d -> ... na')
# whether to split the discrete action logits by the number of actions per action type
if exists(discrete_action_logits) and return_split_discrete:
split_sizes = self.num_discrete_actions[discrete_action_types] if exists(discrete_action_types) else self.num_discrete_actions
discrete_action_logits = discrete_action_logits.split(split_sizes.tolist(), dim = -1)
# continuous actions # continuous actions
continuous_action_mean_log_var = None continuous_action_mean_log_var = None

2
pyproject.toml
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@ -1,6 +1,6 @@
[project] [project]
name = "dreamer4" name = "dreamer4"
version = "0.0.10" version = "0.0.11"
description = "Dreamer 4" description = "Dreamer 4"
authors = [ authors = [
{ name = "Phil Wang", email = "lucidrains@gmail.com" } { name = "Phil Wang", email = "lucidrains@gmail.com" }

5
tests/test_dreamer.py
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@ -271,6 +271,11 @@ def test_action_embedder():
assert discrete_logits.shape == (2, 3, 8) assert discrete_logits.shape == (2, 3, 8)
assert continuous_mean_log_var.shape == (2, 3, 2, 2) assert continuous_mean_log_var.shape == (2, 3, 2, 2)
# return discrete split by number of actions
discrete_logits, continuous_mean_log_var = embedder.unembed(action_embed, return_split_discrete = True)
assert discrete_logits[0].shape == discrete_logits[1].shape == (2, 3, 4)
# unembed subset of actions # unembed subset of actions
discrete_logits, continuous_mean_log_var = embedder.unembed(action_embed, discrete_action_types = 1, continuous_action_types = 0) discrete_logits, continuous_mean_log_var = embedder.unembed(action_embed, discrete_action_types = 1, continuous_action_types = 0)