From 4711db0e182427c34e08cb9b9135b7a7685d2dbc Mon Sep 17 00:00:00 2001
From: Louis Fortier-Dubois <louisfd94@gmail.com>
Date: Tue, 21 Nov 2023 09:13:19 -0500
Subject: [PATCH] bump candle to 0.3.1 and conv_transpose_1d (#977)

---
 burn-candle/Cargo.toml        |  4 ++--
 burn-candle/src/backend.rs    |  1 +
 burn-candle/src/ops/module.rs | 21 ++++++++++++++++++++-
 3 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/burn-candle/Cargo.toml b/burn-candle/Cargo.toml
index 74c59c8a3..bad485f5f 100644
--- a/burn-candle/Cargo.toml
+++ b/burn-candle/Cargo.toml
@@ -18,8 +18,8 @@ derive-new = { workspace = true }
 burn-tensor = { path = "../burn-tensor", version = "0.11.0", default-features = false }
 half = { workspace = true }
 
-# TODO remove pinned version ("=") once candle-core is updated to 0.3.1
-candle-core = { version = "=0.3.0" }
+candle-core = { version = "0.3.1" }
+
 
 [dev-dependencies]
 burn-autodiff = { path = "../burn-autodiff", version = "0.11.0", default-features = false, features = [
diff --git a/burn-candle/src/backend.rs b/burn-candle/src/backend.rs
index c2bec2417..79bc1517d 100644
--- a/burn-candle/src/backend.rs
+++ b/burn-candle/src/backend.rs
@@ -50,6 +50,7 @@ impl From<candle_core::Device> for CandleDevice {
         match device.location() {
             DeviceLocation::Cpu => CandleDevice::Cpu,
             DeviceLocation::Cuda { gpu_id } => CandleDevice::Cuda(gpu_id),
+            DeviceLocation::Metal => panic!("Metal unsupported"),
         }
     }
 }
diff --git a/burn-candle/src/ops/module.rs b/burn-candle/src/ops/module.rs
index 0a169277f..b0b1c2264 100644
--- a/burn-candle/src/ops/module.rs
+++ b/burn-candle/src/ops/module.rs
@@ -83,7 +83,26 @@ impl<F: FloatCandleElement, I: IntCandleElement> ModuleOps<Self> for Candle<F, I
         bias: Option<FloatTensor<Self, 1>>,
         options: ConvTransposeOptions<1>,
     ) -> FloatTensor<Self, 3> {
-        panic!("Candle does not support conv_transpose1d")
+        assert!(
+            options.groups == 1,
+            "Candle does not support groups in transposed convolutions"
+        );
+        let conv_transpose = x
+            .tensor
+            .conv_transpose1d(
+                &weight.tensor,
+                options.padding[0],
+                options.padding_out[0],
+                options.stride[0],
+                options.dilation[0],
+            )
+            .unwrap();
+        CandleTensor::new(match bias {
+            Some(bias) => conv_transpose
+                .broadcast_add(&bias.tensor.unsqueeze(0).unwrap().unsqueeze(2).unwrap())
+                .unwrap(),
+            None => conv_transpose,
+        })
     }
 
     fn conv_transpose2d(