Nafiul Huda commited on
Update app.py
Browse files
app.py
CHANGED
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@@ -4,9 +4,19 @@ import time
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import numpy as np
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import multiprocessing
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import gradio as gr
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def get_cpu_model():
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"""Extracts the actual CPU model name from /proc/cpuinfo."""
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try:
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with open("/proc/cpuinfo", "r") as f:
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for line in f:
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@@ -17,7 +27,6 @@ def get_cpu_model():
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return "Unknown CPU Model"
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def get_container_cpu_cores():
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"""Reads cgroup quotas to see the actual fractional core allocation."""
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try:
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with open("/sys/fs/cgroup/cpu/cpu.cfs_quota_us", "r") as f:
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quota = int(f.read().strip())
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@@ -37,7 +46,6 @@ def get_container_cpu_cores():
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return os.cpu_count() or 1
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def get_container_ram_limit():
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"""Reads cgroup limits to find the absolute maximum RAM allocation."""
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for path in ["/sys/fs/cgroup/memory/memory.limit_in_bytes", "/sys/fs/cgroup/memory.max"]:
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try:
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with open(path, "r") as f:
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@@ -49,15 +57,14 @@ def get_container_ram_limit():
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return psutil.virtual_memory().total / (1024 ** 2)
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def stress_cpu_core(duration):
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"""Heavy computational loop to pin a single core to 100%."""
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timeout = time.time() + duration
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while time.time() < timeout:
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_ = 123456789.0 * 987654321.0
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def run_heavy_benchmark():
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log = []
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# 1. Fetch Structural Profiles
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cpu_model = get_cpu_model()
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reported_cores = os.cpu_count() or 1
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cgroup_cores = get_container_cpu_cores()
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@@ -69,14 +76,10 @@ def run_heavy_benchmark():
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log.append(f"Cgroup Core Limit: {cgroup_cores:.2f}")
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log.append(f"Total Allowed RAM Space: {allocated_ram:.1f} MB\n")
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# 2. 20 GB RAM Allocation Test
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log.append("=== RAM STRESS TEST (Targeting 20 GB) ===")
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try:
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log.append("Allocating continuous NumPy array...")
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# 2.5 billion float64 elements β 20 GB
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elements = 2500000000
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# We use empty then fill to force physical allocation into resident memory
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ram_hog = np.empty(elements, dtype=np.float64)
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ram_hog.fill(7.0)
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@@ -85,14 +88,13 @@ def run_heavy_benchmark():
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log.append(f"β
Success! Managed to hold RAM without crash.")
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log.append(f"Active App RAM State: {current_ram:.1f} MB")
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del ram_hog
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log.append("Array successfully garbage collected.\n")
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except MemoryError:
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log.append("β Failed: Hit container hard Memory OOM ceiling.\n")
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except Exception as e:
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log.append(f"β Failed with unexpected exception: {str(e)}\n")
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# 3. True Multiprocess CPU Stress Test
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log.append("=== CPU MAX OUT TEST ===")
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log.append(f"Spawning {reported_cores} distinct processes to bypass GIL...")
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@@ -104,10 +106,7 @@ def run_heavy_benchmark():
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processes.append(p)
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p.start()
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# Wait for execution to ramp up, then capture utilization mid-flight
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time.sleep(2.0)
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# Check overall system-wide CPU percentage
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system_cpu = psutil.cpu_percent(interval=0.5)
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log.append(f"Live measured core utilization: {system_cpu}%")
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@@ -117,10 +116,8 @@ def run_heavy_benchmark():
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log.append("All stress tasks safely completed.")
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return "\n".join(log)
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# --- Gradio Deployment Layout ---
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with gr.Blocks() as demo:
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gr.Markdown("## Hugging Face Native CPU & Core Resource Profile Tester")
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gr.Markdown("Runs entirely inside the persistent container allocation without routing to ephemeral spaces.")
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run_btn = gr.Button("Execute Deep Diagnostics", variant="primary")
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output_log = gr.Textbox(label="System Standard Output Log", lines=16)
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@@ -128,6 +125,5 @@ with gr.Blocks() as demo:
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run_btn.click(fn=run_heavy_benchmark, outputs=output_log)
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if __name__ == "__main__":
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# Ensure multiprocessing works nicely across platforms/forks
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multiprocessing.freeze_support()
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demo.launch(server_name="0.0.0.0")
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import numpy as np
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import multiprocessing
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import gradio as gr
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import spaces # <-- Keep the import
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# 1. DUMMY GPU FUNCTION: satisfies the Hugging Face startup checker
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# without wasting runtime resources or intercepting user execution.
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@spaces.GPU(duration=5)
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def dummy_gpu():
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print("ZeroGPU validation satisfied.")
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return 1
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# Automatically execute it once right away during script interpretation
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dummy_gpu()
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def get_cpu_model():
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try:
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with open("/proc/cpuinfo", "r") as f:
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for line in f:
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return "Unknown CPU Model"
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def get_container_cpu_cores():
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try:
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with open("/sys/fs/cgroup/cpu/cpu.cfs_quota_us", "r") as f:
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quota = int(f.read().strip())
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return os.cpu_count() or 1
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def get_container_ram_limit():
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for path in ["/sys/fs/cgroup/memory/memory.limit_in_bytes", "/sys/fs/cgroup/memory.max"]:
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try:
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with open(path, "r") as f:
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return psutil.virtual_memory().total / (1024 ** 2)
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def stress_cpu_core(duration):
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timeout = time.time() + duration
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while time.time() < timeout:
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_ = 123456789.0 * 987654321.0
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# NO @spaces.GPU DECORATOR HERE -> This runs purely on the space's base CPU container
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def run_heavy_benchmark():
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log = []
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cpu_model = get_cpu_model()
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reported_cores = os.cpu_count() or 1
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cgroup_cores = get_container_cpu_cores()
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log.append(f"Cgroup Core Limit: {cgroup_cores:.2f}")
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log.append(f"Total Allowed RAM Space: {allocated_ram:.1f} MB\n")
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log.append("=== RAM STRESS TEST (Targeting 20 GB) ===")
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try:
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log.append("Allocating continuous NumPy array...")
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elements = 2500000000
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ram_hog = np.empty(elements, dtype=np.float64)
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ram_hog.fill(7.0)
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log.append(f"β
Success! Managed to hold RAM without crash.")
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log.append(f"Active App RAM State: {current_ram:.1f} MB")
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del ram_hog
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log.append("Array successfully garbage collected.\n")
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except MemoryError:
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log.append("β Failed: Hit container hard Memory OOM ceiling.\n")
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except Exception as e:
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log.append(f"β Failed with unexpected exception: {str(e)}\n")
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log.append("=== CPU MAX OUT TEST ===")
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log.append(f"Spawning {reported_cores} distinct processes to bypass GIL...")
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processes.append(p)
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p.start()
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time.sleep(2.0)
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system_cpu = psutil.cpu_percent(interval=0.5)
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log.append(f"Live measured core utilization: {system_cpu}%")
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log.append("All stress tasks safely completed.")
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return "\n".join(log)
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with gr.Blocks() as demo:
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gr.Markdown("## Hugging Face Native CPU & Core Resource Profile Tester")
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run_btn = gr.Button("Execute Deep Diagnostics", variant="primary")
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output_log = gr.Textbox(label="System Standard Output Log", lines=16)
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run_btn.click(fn=run_heavy_benchmark, outputs=output_log)
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if __name__ == "__main__":
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multiprocessing.freeze_support()
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demo.launch(server_name="0.0.0.0")
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