Files
foxhunt/.claude/helpers/memory.js
jgrusewski 12fdd18223 refactor: remove entire CPU training path — 5,307 lines of dead code
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>
2026-04-02 09:06:23 +02:00

84 lines
1.8 KiB
JavaScript

#!/usr/bin/env node
/**
* Claude Flow Memory Helper
* Simple key-value memory for cross-session context
*/
const fs = require('fs');
const path = require('path');
const MEMORY_DIR = path.join(process.cwd(), '.claude-flow', 'data');
const MEMORY_FILE = path.join(MEMORY_DIR, 'memory.json');
function loadMemory() {
try {
if (fs.existsSync(MEMORY_FILE)) {
return JSON.parse(fs.readFileSync(MEMORY_FILE, 'utf-8'));
}
} catch (e) {
// Ignore
}
return {};
}
function saveMemory(memory) {
fs.mkdirSync(MEMORY_DIR, { recursive: true });
fs.writeFileSync(MEMORY_FILE, JSON.stringify(memory, null, 2));
}
const commands = {
get: (key) => {
const memory = loadMemory();
const value = key ? memory[key] : memory;
console.log(JSON.stringify(value, null, 2));
return value;
},
set: (key, value) => {
if (!key) {
console.error('Key required');
return;
}
const memory = loadMemory();
memory[key] = value;
memory._updated = new Date().toISOString();
saveMemory(memory);
console.log(`Set: ${key}`);
},
delete: (key) => {
if (!key) {
console.error('Key required');
return;
}
const memory = loadMemory();
delete memory[key];
saveMemory(memory);
console.log(`Deleted: ${key}`);
},
clear: () => {
saveMemory({});
console.log('Memory cleared');
},
keys: () => {
const memory = loadMemory();
const keys = Object.keys(memory).filter(k => !k.startsWith('_'));
console.log(keys.join('\n'));
return keys;
},
};
// CLI
const [,, command, key, ...valueParts] = process.argv;
const value = valueParts.join(' ');
if (command && commands[command]) {
commands[command](key, value);
} else {
console.log('Usage: memory.js <get|set|delete|clear|keys> [key] [value]');
}
module.exports = commands;