Files
rustytorch/crates/training/rtx-distributed/Cargo.toml
T
Omar SobhandClaude Sonnet 4.6 228137555f fix(gaps): G0/G2/G5/G8 — eliminate unimplemented! panics, re-enable rtx-distributed, rtx-tts, fix multimodal forward
G0 (Critical): Replace 45 unimplemented!() panics across three GPU backends
- rtx-backend-cuda: sin/cos/tanh via PTX, relu/sigmoid/leaky_relu/elu via activation.rs,
  pow/clamp/gt_scalar via unary.rs, var/var_dim host-side, conv2d/max_pool2d/avg_pool2d
  CPU fallback in new ops/conv.rs; new PTX kernels in element_wise.cu
- rtx-backend-rocm: all 15 ops via CPU round-trip (to_vec → compute → from_slice)
- rtx-backend-sycl: all 15 ops via CPU round-trip (to_host → compute → from_data)

G2 (High): Re-add rtx-distributed to workspace
- Vendor 4 minimal RNCCL stub crates at crates/vendor/rnccl/*
- Update rtx-distributed RNCCL path deps to point at stubs (../../../../RNCCL/* → ../../vendor/rnccl/*)
- Remove rtx-distributed from workspace exclude list, add to members

G5 (Medium): Re-enable rtx-tts (213 tests restored)
- Fix 15 rtx-nn API drift issues: LayerNorm::new, Conv1d::from_config, Conv1dPadding::Zeros,
  Dropout::new(p, device), tensor methods (relu/tanh/sigmoid/cat/stack), squeeze(Some(n)),
  to_vec() turbofish removal, Tensor::randn with &[...] slices

G8 (Low): Quantum stubs + multimodal forward bug
- rtx-timeseries: remove dead quantum/neuromorphic TODO comment blocks (no module files exist)
- rtx-multimodal/fusion/transformer.rs: wire TransformerBlock loop in forward()
- rtx-multimodal/fusion/strategies.rs: wire bottleneck_layers loop in forward()
- rtx-transformers/architectures/transformer_block.rs: add forward() method (pre-norm residuals;
  full attention+FFN pending when those sub-layers are wired)

Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
2026-06-26 13:40:23 +00:00

89 lines
2.7 KiB
TOML

[package]
name = "rtx-distributed"
version = "1.0.0"
edition = "2024"
rust-version = "1.92"
authors = ["RustyTorch Team"]
license = "MIT OR Apache-2.0"
repository = "https://github.com/rustytorch/rustytorch"
description = "Distributed training support for RustyTorch++"
[dependencies]
# Core dependencies (explicit versions - crate excluded from workspace)
anyhow = "1.0"
thiserror = "2"
tracing = "0.1"
tokio = { version = "1.0", features = ["full"] }
serde = { version = "1.0", features = ["derive"] }
bincode = "1.3"
serde_json = "1.0"
# HPC-AI integration (optional) - path dep removed: hpc-channels not in this workspace
# hpc-channels = { path = "../../../../hpc-channels", features = ["rkyv-codec"], optional = true }
# RNCCL - Pure Rust collective communications (optional)
rnccl-core = { path = "../../vendor/rnccl/rnccl-core", optional = true }
rnccl-collectives = { path = "../../vendor/rnccl/rnccl-collectives", default-features = false, features = ["metal", "transport"], optional = true }
rnccl-transport = { path = "../../vendor/rnccl/rnccl-transport", optional = true }
rnccl-bootstrap = { path = "../../vendor/rnccl/rnccl-bootstrap", optional = true }
# Local crates
rtx-runtime = { path = "../../core/rtx-runtime" }
rtx-tensor = { path = "../../core/rtx-tensor" }
# NCCL binding via cudarc - safer and more comprehensive (optional for non-CUDA builds)
cudarc = { version = "0.18.2", features = ["std", "driver", "runtime", "nvrtc", "cublas", "cublaslt", "nccl", "cudnn", "cusparse", "cusolver", "cufile", "curand", "cuda-13000", "f16"], optional = true }
# Network and process management
mpi = { version = "0.6", optional = true }
crossbeam = "0.8"
parking_lot = "0.12"
uuid = { version = "1.0", features = ["v4", "serde"] }
# Configuration
config = "0.14"
clap = { version = "4.0", features = ["derive"] }
# Async trait support
async-trait = "0.1"
# Additional dependencies for multi-node support
rand = "0.8"
futures = "0.3"
# Half-precision floating point
half = "2.3"
# System info
hostname = "0.4"
# Time and date handling
chrono = { version = "0.4", features = ["serde"] }
[dev-dependencies]
proptest = "1.4"
criterion = { version = "0.5", features = ["html_reports", "csv_output"] }
tempfile = "3.8"
tracing-subscriber = "0.3"
[features]
default = []
cuda = ["dep:cudarc"]
nccl = ["cuda", "cudarc/nccl"]
rccl = [] # RCCL for AMD ROCm GPUs - requires librccl.so
rnccl = ["dep:rnccl-core", "dep:rnccl-collectives", "dep:rnccl-transport", "dep:rnccl-bootstrap"] # Rust-native NCCL from rnccl
mpi = ["dep:mpi"]
# HPC-AI low-latency channels (optional) - removed: dep not available
# hpc-channels = ["dep:hpc-channels"]
[lib]
name = "rtx_distributed"
path = "src/lib.rs"
[[bin]]
name = "benchmark_backends"
path = "src/bin/benchmark_backends.rs"
[lints]
workspace = true