12fdd18223
Deleted: - DQN::compute_loss_internal (280 lines) — old Candle forward+loss - DQN::train_step (55 lines) — old Candle training step - DQN::compute_gradients (47 lines) — old gradient accumulation - ComputeLossResult struct — only used by deleted functions - RegimeConditionalDQN::train_step (65 lines) — old dispatch - RegimeConditionalDQN::train_step_gpu_regime (100 lines) — old GPU path - RegimeConditionalDQN::compute_gradients_gpu (130 lines) — old regime gradients - RegimeConditionalDQN::compute_gradients (92 lines) — old dispatch - DQNAgentType::train_step dispatch — dead - DQNAgentType::compute_gradients dispatch — dead - GpuDqnTrainer::upload_batch (71 lines) — old CPU→GPU upload - train_step.rs (500 lines) — entire module including ensure_fused_ctx - dqn_benchmark.rs — used old train_step - examples.rs — used old train_step - validation/adapters.rs (289 lines) — used old train_step - dqn/trainable_adapter.rs — used old train_step - gpu_smoketest.rs — tested old train_step - Gradient accumulation path in training_loop.rs (144 lines) - IQN d_h_s2().clone() → raw pointer (zero alloc) - Causal intervention format! string alloc removed - Dead HER relabel functions (320 lines) Kept: - ensure_fused_ctx logic inlined into training_loop.rs - set_noise_sigma_scale re-added to RegimeConditionalDQN Fixed: - GpuReplayBuffer max_batch_size wired from batch_size parameter (was hardcoded 1024, blocking batch_size=8192) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
22 lines
621 B
Bash
Executable File
22 lines
621 B
Bash
Executable File
# Claude Flow V3 Statusline Hook
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# Add to your shell RC file (.bashrc, .zshrc, etc.)
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# Function to get statusline
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claude_flow_statusline() {
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local statusline_script="${CLAUDE_FLOW_DIR:-.claude}/helpers/statusline.cjs"
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if [ -f "$statusline_script" ]; then
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node "$statusline_script" 2>/dev/null || echo ""
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fi
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}
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# For bash PS1
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# export PS1='$(claude_flow_statusline) \n\$ '
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# For zsh RPROMPT
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# export RPROMPT='$(claude_flow_statusline)'
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# For starship (add to starship.toml)
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# [custom.claude_flow]
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# command = "node .claude/helpers/statusline.cjs 2>/dev/null"
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# when = "test -f .claude/helpers/statusline.cjs"
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