Fix no default features flags + update cubecl

Cargo.toml

@@ -101,7 +101,7 @@ ratatui = "0.29.0"
 
 # WGPU stuff
 text_placeholder = "0.5.1"
-wgpu = "23.0.0"
+wgpu = "24.0.0"
 
 # Benchmarks and Burnbench
 arboard = "3.4.1"
@@ -153,8 +153,8 @@ ahash = { version = "0.8.11", default-features = false }
 portable-atomic-util = { version = "0.2.4", features = ["alloc"] }
 
 ### For the main burn branch. ###
-cubecl = { git = "https://github.com/tracel-ai/cubecl", default-features = false, rev = "2cc42af02671d90255ab823e29a4a3ad2e564333" }
-cubecl-common = { git = "https://github.com/tracel-ai/cubecl", default-features = false, rev = "2cc42af02671d90255ab823e29a4a3ad2e564333" }
+cubecl = { git = "https://github.com/tracel-ai/cubecl", default-features = false, rev = "dd0c2fa86bc58133cde596e13ddb1d7ad33ac44c" }
+cubecl-common = { git = "https://github.com/tracel-ai/cubecl", default-features = false, rev = "dd0c2fa86bc58133cde596e13ddb1d7ad33ac44c" }
 ### For local development. ###
 # cubecl = { path = "../cubecl/crates/cubecl", default-features = false }
 # cubecl-common = { path = "../cubecl/crates/cubecl-common", default-features = false }

crates/burn-autodiff/Cargo.toml

@@ -18,7 +18,7 @@ std = []
 async = [] # Require std
 
 [dependencies]
-burn-common = { path = "../burn-common", version = "0.17.0" }
+burn-common = { path = "../burn-common", version = "0.17.0", default-features = false }
 burn-tensor = { path = "../burn-tensor", version = "0.17.0", default-features = false }
 burn-tensor-testgen = { path = "../burn-tensor-testgen", version = "0.17.0", optional = true }
 

crates/burn-core/src/lib.rs

@@ -1,6 +1,7 @@
 #![cfg_attr(not(feature = "std"), no_std)]
 #![warn(missing_docs)]
 #![cfg_attr(docsrs, feature(doc_auto_cfg))]
+#![recursion_limit = "135"]
 
 //! The core crate of Burn.
 

crates/burn-jit/src/kernel/conv/conv2d/im2col.rs

@@ -99,7 +99,7 @@ fn im2col_kernel<F: Float>(
 
 #[cfg(not(test))]
 pub(crate) fn batches_per_run(batch_size: usize, out_h: usize, out_w: usize) -> Option<usize> {
-    let cube_count_per_batch = (out_h * out_w).div_ceil(cubecl::PLANE_DIM_APPROX);
+    let cube_count_per_batch = (out_h * out_w).div_ceil(burn_common::PLANE_DIM_APPROX);
     let max_cube_count = u16::MAX as usize;
     let max_simultaneous = (max_cube_count / cube_count_per_batch).min(batch_size);
     if max_simultaneous == 0 {

crates/burn-jit/src/kernel/mod.rs

@@ -15,7 +15,8 @@ pub use mask::*;
 pub(crate) use unary_float::*;
 pub(crate) use unary_numeric::*;
 
-pub use cubecl::{Kernel, PLANE_DIM_APPROX};
+pub use burn_common::PLANE_DIM_APPROX;
+pub use cubecl::Kernel;
 
 /// Convolution kernels
 pub mod conv;

crates/burn-jit/src/template/base.rs

@@ -1,5 +1,6 @@
 use crate::{element::JitElement, tensor::JitTensor, JitRuntime};
-use cubecl::{prelude::*, Compiler, ExecutionMode, KernelId};
+use burn_common::ExecutionMode;
+use cubecl::{prelude::*, Compiler, KernelId};
 
 use super::SourceTemplate;
 

crates/burn-ndarray/Cargo.toml

@@ -43,7 +43,7 @@ blas-openblas-system = [
 
 # ** Please make sure all dependencies support no_std when std is disabled **
 
-burn-autodiff = { path = "../burn-autodiff", version = "0.17.0", optional = true }
+burn-autodiff = { path = "../burn-autodiff", version = "0.17.0", default-features = false, optional = true }
 burn-common = { path = "../burn-common", version = "0.17.0", default-features = false }
 burn-tensor = { path = "../burn-tensor", version = "0.17.0", default-features = false, features = ["repr"] }
 

crates/burn-router/src/lib.rs

@@ -1,6 +1,7 @@
 #![cfg_attr(not(feature = "std"), no_std)]
 #![warn(missing_docs)]
 #![cfg_attr(docsrs, feature(doc_auto_cfg))]
+#![recursion_limit = "138"]
 
 //! Burn multi-backend router.
 

crates/burn-tensor/Cargo.toml

@@ -32,7 +32,7 @@ std = [
 [dependencies]
 burn-common = { path = "../burn-common", version = "0.17.0", default-features = false }
 burn-tensor-testgen = { path = "../burn-tensor-testgen", version = "0.17.0", optional = true }
-cubecl = { workspace = true, optional = true, default-features = true }
+cubecl = { workspace = true, optional = true, default-features = false }
 
 bytemuck = { workspace = true, features = ["extern_crate_alloc"] }
 colored = { workspace = true, optional = true }

crates/burn-wgpu/src/lib.rs

@@ -12,8 +12,8 @@ pub use burn_jit::{
 pub use burn_jit::{tensor::JitTensor, JitBackend};
 pub use burn_jit::{BoolElement, FloatElement, IntElement};
 pub use cubecl::flex32;
-pub use cubecl::ir::CubeDim;
 pub use cubecl::wgpu::*;
+pub use cubecl::CubeDim;
 
 pub type Wgsl = cubecl::wgpu::WgslCompiler;
 #[cfg(feature = "spirv")]

examples/guide/src/bin/infer.rs

@@ -1,3 +1,4 @@
+#![recursion_limit = "131"]
 use burn::{backend::Wgpu, data::dataset::Dataset};
 use guide::inference;
 

examples/image-classification-web/src/lib.rs

@@ -1,4 +1,5 @@
 #![cfg_attr(not(test), no_std)]
+#![recursion_limit = "135"]
 
 pub mod model;
 pub mod web;

examples/server/src/lib.rs

@@ -1,3 +1,5 @@
+#![recursion_limit = "141"]
+
 pub fn start() {
     let port = std::env::var("REMOTE_BACKEND_PORT")
         .map(|port| match port.parse::<u16>() {