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authorLaurent Mazare <laurent.mazare@gmail.com>2024-02-13 14:26:32 +0100
committerGitHub <noreply@github.com>2024-02-13 14:26:32 +0100
commitad73e93da2cf7311cb5c5bc39250aa335c5f9b76 (patch)
tree5b5ea591d0fda870f4499869e3a8feb9718cfebf /candle-examples/examples/reinforcement-learning/ddpg.rs
parent13c67226e68de216b731707067f7e68af0438821 (diff)
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Detach the tensors on batch-norm eval. (#1702)
* Detach the tensors on batch-norm eval. * Fix pyo3 bindings. * Black tweak. * Formatting. * Also update the pyo3-onnx formatting. * Apply black.
Diffstat (limited to 'candle-examples/examples/reinforcement-learning/ddpg.rs')
-rw-r--r--candle-examples/examples/reinforcement-learning/ddpg.rs2
1 files changed, 1 insertions, 1 deletions
diff --git a/candle-examples/examples/reinforcement-learning/ddpg.rs b/candle-examples/examples/reinforcement-learning/ddpg.rs
index 1ce4889e..5309eaf6 100644
--- a/candle-examples/examples/reinforcement-learning/ddpg.rs
+++ b/candle-examples/examples/reinforcement-learning/ddpg.rs
@@ -411,7 +411,7 @@ impl DDPG<'_> {
pub fn actions(&mut self, state: &Tensor) -> Result<f32> {
let actions = self
.actor
- .forward(&state.detach()?.unsqueeze(0)?)?
+ .forward(&state.detach().unsqueeze(0)?)?
.squeeze(0)?;
let actions = if self.train {
(actions + self.ou_noise.sample()?)?