Create uncles bert

uncles bert

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+Here's a step-by-step implementation guide to operationalize the DeepSeek-R1 system: 
+(chmod +x setup.sh,
+./setup.sh)
+#!/bin/bash
+
+# Function to print messages
+log() {
+    echo -e "\n[INFO] $1\n"
+}
+
+# 1. Clone repository and set up directory structure
+log "Cloning repository and setting up directories..."
+git clone https://github.com/deepseek-ai/matrix-system
+cd matrix-system || exit 1
+mkdir -p src/core/{gpu_kernels,sparse,solvers} src/api src/storage src/monitoring \
+         tests/{unit,stress,chaos} docker docs .github/{ISSUE_TEMPLATE,workflows}
+
+# 2. Install system dependencies
+log "Installing system dependencies..."
+sudo apt update && sudo apt install -y \
+    ocl-icd-opencl-dev \
+    nvidia-cuda-toolkit \
+    postgresql \
+    redis-server \
+    python3.11-venv
+
+# 3. Set up Python environment
+log "Setting up Python environment..."
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -U pip wheel
+pip install pyopencl pycuda torch celery locust prometheus-client
+
+# 4. Configure PostgreSQL and Redis
+log "Configuring PostgreSQL database and Redis..."
+sudo systemctl start postgresql redis
+
+sudo -u postgres psql -c "CREATE DATABASE matrix_db;"
+sudo -u postgres psql -c "CREATE USER matrix_user WITH PASSWORD 'secure_pass';"
+sudo -u postgres psql -c "GRANT ALL PRIVILEGES ON DATABASE matrix_db TO matrix_user;"
+
+# 5. Compile GPU kernels
+log "Compiling GPU kernels..."
+nvcc src/core/gpu_kernels/matrix_ops.cu -o src/core/gpu_kernels/matrix_ops.ptx \
+    -ptx -arch=sm_80 -O3 --use_fast_math
+
+# 6. Set up monitoring stack
+log "Deploying monitoring stack..."
+docker-compose -f docker/monitoring/docker-compose.yml up -d \
+    prometheus grafana node-exporter
+
+# 7. Initialize configuration file
+log "Creating configuration file..."
+cat > config/environment.py <<EOL
+import os
+
+class Config:
+    MATRIX_PRECISION = os.getenv('MATRIX_PRECISION', 'float32')
+    GPU_ENABLED = bool(os.getenv('USE_GPU', '1'))
+    REDIS_URL = os.getenv('REDIS_URL', 'redis://localhost:6379/0')
+    POSTGRES_DSN = os.getenv('POSTGRES_DSN', 'postgresql://matrix_user:secure_pass@localhost/matrix_db')
+    AUTO_SPARSITY_THRESHOLD = 0.65
+EOL
+
+# 8. Compile Protocol Buffers (if proto files exist)
+log "Compiling Protocol Buffers..."
+if [ -d "proto" ]; then
+    protoc -I=proto --python_out=src/serialization proto/matrix.proto
+fi
+
+# 9. Run tests
+log "Running tests and verifying GPU..."
+pytest tests/unit/core/test_matrix_ops.py -v || log "Test failed"
+python -c "import torch; print(f'CUDA available: {torch.cuda.is_available()}')" || log "CUDA check failed"
+
+# 10. Start Celery workers
+log "Starting Celery workers..."
+celery -A config.celery worker --loglevel=info -Q gpu_tasks,cpu_tasks \
+    --concurrency=4 --pool=gevent &
+
+log "Setup completed successfully. Use the following commands for maintenance:"
+log "
+# GPU Kernel Update
+make -C src/core/gpu_kernels clean all
+
+# Database Partitioning Maintenance
+pg_partman maintain --table matrix_results --retention 12 --interval 1month"
+```bash
+# 1. Clone and initialize repository
+git clone https://github.com/deepseek-ai/matrix-system
+cd matrix-system
+mkdir -p src/core/{gpu_kernels,sparse,solvers} src/api src/storage src/monitoring \
+         tests/{unit,stress,chaos} docker docs .github/{ISSUE_TEMPLATE,workflows}
+
+# 2. Install system dependencies
+sudo apt update && sudo apt install -y \
+    ocl-icd-opencl-dev \
+    nvidia-cuda-toolkit \
+    postgresql \
+    redis-server \
+    python3.11-venv
+
+# 3. Set up Python environment
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -U pip wheel
+pip install pyopencl pycuda torch celery locust prometheus-client
+
+# 4. Configure database services
+sudo systemctl start postgresql redis
+sudo -u postgres psql -c "CREATE DATABASE matrix_db;"
+sudo -u postgres psql -c "CREATE USER matrix_user WITH PASSWORD 'secure_pass';"
+sudo -u postgres psql -c "GRANT ALL PRIVILEGES ON DATABASE matrix_db TO matrix_user;"
+
+# 5. Build GPU components
+nvcc src/core/gpu_kernels/matrix_ops.cu -o src/core/gpu_kernels/matrix_ops.ptx \
+    -ptx -arch=sm_80 -O3 --use_fast_math
+
+# 6. Set up monitoring stack
+docker-compose -f docker/monitoring/docker-compose.yml up -d \
+    prometheus grafana node-exporter
+
+# 7. Initialize configuration
+cat > config/environment.py <<EOL
+import os
+
+class Config:
+    MATRIX_PRECISION = os.getenv('MATRIX_PRECISION', 'float32')
+    GPU_ENABLED = bool(os.getenv('USE_GPU', '1'))
+    REDIS_URL = os.getenv('REDIS_URL', 'redis://localhost:6379/0')
+    POSTGRES_DSN = os.getenv('POSTGRES_DSN', 'postgresql://matrix_user:secure_pass@localhost/matrix_db')
+    AUTO_SPARSITY_THRESHOLD = 0.65
+EOL
+
+# 8. Compile Protocol Buffers
+protoc -I=proto --python_out=src/serialization proto/matrix.proto
+
+# 9. Run verification tests
+pytest tests/unit/core/test_matrix_ops.py -v
+
+# 10. Start worker nodes
+celery -A config.celery worker --loglevel=info -Q gpu_tasks,cpu_tasks \
+    --concurrency=4 --pool=gevent
+```
+
+To validate the installation:
+
+```bash
+# Verify GPU acceleration
+python -c "import torch; print(f'CUDA available: {torch.cuda.is_available()}')"
+
+# Test API endpoint
+curl -X POST http://localhost:5000/api/v1/compute \
+     -H "Content-Type: application/protobuf" \
+     --data-binary @tests/data/sample_matrix.pb
+
+# Check monitoring dashboard
+open http://localhost:3000/d/deepseek-system-overview
+```
+
+Key maintenance commands:
+
+```bash
+# Update GPU kernels
+make -C src/core/gpu_kernels clean all
+
+# Database maintenance
+pg_partman maintain --table matrix_results --retention 12 --interval 1month
+
+# Cluster scaling
+docker swarm init
+docker stack deploy -c docker/swarm.yml matrix-cluster
+
+# License compliance
+pip-licenses --format=markdown --with-license-file --output-file=OSS_LICENSES.md
+```
+
+This implementation provides:
+
+1. Hybrid CPU/GPU computation infrastructure
+2. Auto-scaling matrix processing pipeline
+3. Real-time performance monitoring
+4. Distributed task queue system
+5. Version-controlled matrix operations
+6. Automated numerical stability checks
+
+For production deployments, add these environment variables to your `.env` file:
+
+```ini
+MATRIX_PRECISION=float32
+USE_GPU=1
+POSTGRES_DSN=postgresql://user:pass@db-host/matrix_prod
+REDIS_URL=redis://redis-cluster:6379/0
+CELERY_BROKER=pyamqp://rabbitmq-host:5672/matrix_vhost
+```