V5.2.7 - core, mem lock
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1375d5599e
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7faadc76ea
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@ -455,7 +455,7 @@ class CloreClient:
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async def submit_specs(self, current_specs):
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try:
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if type(current_specs) == dict:
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current_specs["backend_version"]=16
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current_specs["backend_version"]=17
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current_specs["update_hw"]=True
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smallest_pcie_width = 999
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for gpu in current_specs["gpus"]["nvidia"]:
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35
lib/nvml.py
35
lib/nvml.py
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@ -100,10 +100,15 @@ def init(gpu_specs_file=None, allow_hive_binaries=True):
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parsed_specs={}
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regenerate_specs=True
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break
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elif not "locks" in parsed_specs[f"{i}-{gpu_uuid}"]:
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parsed_specs={}
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regenerate_specs=True
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break
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if regenerate_specs:
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for i in range(0,gpu_count):
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gpu_spec={}
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mem_to_core_allowed_locks = get_gpu_locked_clocks(i)
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gpu_handle = pynvml.nvmlDeviceGetHandleByIndex(i)
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gpu_uuid = pynvml.nvmlDeviceGetUUID(gpu_handle)
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power_limits = pynvml.nvmlDeviceGetPowerManagementLimitConstraints(gpu_handle)
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@ -112,6 +117,7 @@ def init(gpu_specs_file=None, allow_hive_binaries=True):
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gpu_spec["default_power_limit"] = int(pynvml.nvmlDeviceGetPowerManagementDefaultLimit(gpu_handle) / 1000.0)
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gpu_spec["power_limits"] = [min_power_limit, max_power_limit]
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gpu_spec["name"] = pynvml.nvmlDeviceGetName(gpu_handle)
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gpu_spec["locks"] = mem_to_core_allowed_locks
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pci_info = pynvml.nvmlDeviceGetPciInfo(gpu_handle)
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pci_bus_id = pci_info.bus
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@ -205,6 +211,19 @@ def get_gpu_oc_specs():
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def shutdown():
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pynvml.nvmlShutdown()
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def get_gpu_locked_clocks(gpu_index):
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try:
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handle = pynvml.nvmlDeviceGetHandleByIndex(gpu_index)
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mem_clocks = pynvml.nvmlDeviceGetSupportedMemoryClocks(handle)
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mem_to_core = {}
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for idx, mem_clock in enumerate(mem_clocks):
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if idx < 12 or idx == len(mem_clocks)-1:
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graphics_clocks = pynvml.nvmlDeviceGetSupportedGraphicsClocks(handle, mem_clock)
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mem_to_core[str(mem_clock)] = [min(graphics_clocks), max(graphics_clocks)]
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return mem_to_core
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except Exception as e:
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return {}
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def handle_nn(input_int):
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if abs(4293967-input_int) < 10000:
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return input_int-4293967
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@ -330,13 +349,23 @@ def set_oc(settings):
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gpu_oc_config = settings[str(oc_gpu_index)]
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gpu_possible_ranges = all_gpus_data_list[oc_gpu_index]
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gpu_handle = pynvml.nvmlDeviceGetHandleByIndex(oc_gpu_index)
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if "core" in gpu_oc_config:
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if "core_lock" in gpu_oc_config:
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core_lock = int(gpu_oc_config["core_lock"])
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pynvml.nvmlDeviceSetGpuLockedClocks(gpu_handle, core_lock, core_lock)
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else:
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pynvml.nvmlDeviceResetGpuLockedClocks(gpu_handle)
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if "mem_lock" in gpu_oc_config:
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mem_lock = int(gpu_oc_config["mem_lock"])
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pynvml.nvmlDeviceSetMemoryLockedClocks(gpu_handle, mem_lock, mem_lock)
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else:
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pynvml.nvmlDeviceResetMemoryLockedClocks(gpu_handle)
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if "core" in gpu_oc_config: # Core offset
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wanted_core_clock = int(round(gpu_oc_config["core"]*2))
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if gpu_possible_ranges["core"][0] <= wanted_core_clock and wanted_core_clock <= gpu_possible_ranges["core"][1]:
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pynvml.nvmlDeviceSetGpcClkVfOffset(gpu_handle, wanted_core_clock)
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else:
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log.error(f"Requested OC for GPU:{oc_gpu_index} (CORE) out of bound | {wanted_core_clock} | [{gpu_possible_ranges["core"][0]}, {gpu_possible_ranges["core"][1]}]")
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if "mem" in gpu_oc_config:
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if "mem" in gpu_oc_config: # Memory offset
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wanted_mem_clock = int(round(gpu_oc_config["mem"]*2))
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if gpu_possible_ranges["mem"][0] <= wanted_mem_clock and wanted_mem_clock <= gpu_possible_ranges["mem"][1]:
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pynvml.nvmlDeviceSetMemClkVfOffset(gpu_handle, wanted_mem_clock)
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