chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import os
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import subprocess
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import warnings
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import paddle
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def call_cmd(cmd, err_msg, default_value):
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process = subprocess.Popen(
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cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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universal_newlines=True,
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shell=True,
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)
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stdout, stderr = process.communicate()
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if stderr:
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warnings.warn(err_msg)
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stdout = default_value
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return stdout
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class SingleNodeTopology:
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def __init__(self):
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self.pcie_latency = 0.0
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self.pcie_bandwidth = float('inf')
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self.nvlink_bandwidth = -1.0
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self.nb_devices = 8
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self.machine = {}
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self.devices = []
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self.links = []
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self.json_object = None
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def calculate_cpu_flops(self):
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# Get number sockets
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cmd = "lscpu | grep 'Socket(s)' | awk '{print $NF}'"
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err_msg = "Failed to get number of sockets"
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default_value = 4
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nb_sockets = call_cmd(cmd, err_msg, default_value)
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# Get number of cores per socket
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cmd = "lscpu | grep 'Core(s) per socket' | awk '{print $NF}'"
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err_msg = "Failed to get number of cores per socket"
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default_value = 20
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nb_cores_per_socket = call_cmd(cmd, err_msg, default_value)
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# Get clock speed
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cmd = "lscpu | grep GHz | awk -F '@' '{print $NF}' | awk -F 'G' '{print $1}'"
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err_msg = "Failed to get cpu clock rate"
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default_value = 2.4
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clock_rate = call_cmd(cmd, err_msg, default_value)
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# Get number of FMA units
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# TODO(changtao02): find a way to detect this value
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nb_fmas = 2
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# Get SIMD width
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simd_width_sp = 0
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simd_width_dp = 0
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cmd = "lscpu | grep sse"
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err_msg = "Failed to get cpu vector size"
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default_value = "sse"
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vector_size = call_cmd(cmd, err_msg, default_value)
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if vector_size:
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simd_width_sp = 4 # 128 / 32
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simd_width_dp = 2 # 128 / 64
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cmd = "lscpu | grep avx2"
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err_msg = "Failed to get cpu vector size"
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default_value = "avx2"
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vector_size = call_cmd(cmd, err_msg, default_value)
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if vector_size:
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simd_width_sp = 8 # 256 / 32
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simd_width_dp = 4 # 256 / 64
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cmd = "lscpu | grep avx512"
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err_msg = "Failed to get cpu vector size"
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default_value = "avx512"
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vector_size = call_cmd(cmd, err_msg, default_value)
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if vector_size:
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simd_width_sp = 16 # 512 / 32
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simd_width_dp = 8 # 512 / 64
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gflops_per_element = (
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int(nb_sockets)
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* int(nb_cores_per_socket)
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* float(clock_rate)
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* nb_fmas
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)
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sp_gflops = gflops_per_element * simd_width_sp
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dp_gflops = gflops_per_element * simd_width_dp
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self.machine['sp_gflops'] = sp_gflops
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self.machine['dp_gflops'] = dp_gflops
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def pcie_gen2bandwidth(self, pcie_generation):
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if pcie_generation == 1:
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return 0.25
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elif pcie_generation == 2:
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return 0.5
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elif pcie_generation == 3:
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return 1.0
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elif pcie_generation == 4:
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return 2.0
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elif pcie_generation == 5:
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return 4.0
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elif pcie_generation == 6:
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return 8.0
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def model2gflops(self, model):
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if "H100" in model and "SXM5" in model:
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return 60000, 30000
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elif "H100" in model and "PCIe" in model:
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return 48000, 24000
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elif "A100" in model:
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return 19500, 9700
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elif "A800" in model:
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return 19500, 9700
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elif "V100" in model:
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return 15700, 7800
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elif "P100" in model:
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return 10600, 5300
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def get_link_bandwidth(self, source_id, target_id):
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# Get link type
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row_id = 2 + source_id
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column_id = 2 + target_id
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cmd = (
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"cat /tmp/matrix.txt | awk 'FNR=="
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+ str(row_id)
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+ " {print $"
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+ str(column_id)
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+ "}'"
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)
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err_msg = "Failed to get topo matrix"
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default_value = "NVL"
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link_type = call_cmd(cmd, err_msg, default_value)
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link_bandwidth = self.pcie_bandwidth
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if "NV" in link_type:
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if self.nvlink_bandwidth == -1.0:
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cmd = "nvidia-smi nvlink -s -i 0 | tail -n 1 | awk '{print $3}'"
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err_msg = "Failed to get nvlink bandwidth"
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default_value = "25"
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self.nvlink_bandwidth = float(
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call_cmd(cmd, err_msg, default_value)
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)
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link_bandwidth = int(link_type[2:]) * self.nvlink_bandwidth
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link_type = "NVL"
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return link_type, link_bandwidth
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def get_host_info(self):
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# Get hostname
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cmd = "hostname -s"
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err_msg = "Failed to get hostname"
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default_value = "localhost"
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hostname = call_cmd(cmd, err_msg, default_value).strip()
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# Get ip address
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cmd = "hostname -i"
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err_msg = "Failed to get host ip address"
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default_value = "127.0.0.1"
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ip_addr = call_cmd(cmd, err_msg, default_value).strip()
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# Get CPU memory (GB)
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cmd = "cat /proc/meminfo | grep 'MemAvailable' | awk -F ':' '{print $NF}' | awk '{print $1}'"
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err_msg = "Failed to get cpu memory"
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default_value = "41366484"
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cpu_memory = int(call_cmd(cmd, err_msg, default_value)) // 1e6
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# Get single-point flops and double-point flops (GFLOPs)
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self.calculate_cpu_flops()
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self.machine['hostname'] = hostname
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self.machine['addr'] = ip_addr
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self.machine['memory'] = cpu_memory
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def get_device_info(self):
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# Get device count
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cmd = "nvidia-smi -L | wc -l"
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err_msg = "Failed to get device count"
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default_value = "8"
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self.nb_devices = int(call_cmd(cmd, err_msg, default_value))
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local_size = int(os.getenv("PADDLE_LOCAL_SIZE"))
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if local_size < self.nb_devices:
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self.nb_devices = local_size
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# Get PCIe latency and bandwidth (ms, GB/s)
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for i in range(self.nb_devices):
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cmd = (
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"nvidia-smi --id="
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+ str(i)
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+ " --query-gpu=pcie.link.gen.max --format=csv,noheader"
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)
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err_msg = "Failed to get max pcie link generation"
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default_value = "4"
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pcie_generation = int(call_cmd(cmd, err_msg, default_value))
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cmd = (
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"nvidia-smi --id="
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+ str(i)
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+ " --query-gpu=pcie.link.width.max --format=csv,noheader"
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)
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err_msg = "Failed to get max pcie link width"
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default_value = "16"
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pcie_width = int(call_cmd(cmd, err_msg, default_value))
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self.pcie_bandwidth = min(
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self.pcie_bandwidth,
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self.pcie_gen2bandwidth(pcie_generation) * pcie_width,
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)
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dev_global_ids = []
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dev_local_ids = []
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dev_types = []
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dev_models = []
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dev_memories = [] # GiB
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dev_sp_gflops = [] # GB/s
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dev_dp_gflops = [] # GB/s
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# Get device info
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rank_first = paddle.paddle.distributed.get_rank()
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for i in range(self.nb_devices):
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dev_global_ids.append(i + rank_first)
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dev_local_ids.append(i)
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dev_types.append("GPU")
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cmd = (
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"nvidia-smi --id="
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+ str(i)
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+ " --query-gpu=name --format=csv,noheader"
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)
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err_msg = "Failed to get device name"
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default_value = "NVIDIA A100-SXM4-40GB"
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dev_models.append(call_cmd(cmd, err_msg, default_value).strip())
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cmd = (
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"nvidia-smi --id="
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+ str(i)
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+ " --query-gpu=memory.free --format=csv,noheader | awk '{print $1}'"
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)
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err_msg = "Failed to get device available memory"
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default_value = "40536"
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dev_memories.append(
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int(call_cmd(cmd, err_msg, default_value)) // 1e3
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)
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sp_gflops, dp_gflops = self.model2gflops(dev_models[i])
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dev_sp_gflops.append(sp_gflops)
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dev_dp_gflops.append(dp_gflops)
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for i in range(len(dev_global_ids)):
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device = {}
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device['global_id'] = dev_global_ids[i]
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device['local_id'] = dev_local_ids[i]
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device['type'] = dev_types[i]
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device['model'] = dev_models[i]
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device['memory'] = dev_memories[i]
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device['sp_gflops'] = dev_sp_gflops[i]
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device['dp_gflops'] = dev_dp_gflops[i]
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self.devices.append(device)
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self.machine['latency'] = self.pcie_latency
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self.machine['bandwidth'] = self.pcie_bandwidth
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self.machine['device_type'] = dev_types[0]
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self.machine['device_type_full'] = f"{dev_types[0]}-{dev_models[0]}"
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self.machine['devices'] = self.devices
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def get_link_info(self):
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link_source_global_ids = []
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link_target_global_ids = []
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link_types = []
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link_latencies = [] # ms
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link_bandwidths = [] # GB/s
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cmd = "nvidia-smi topo -m > /tmp/matrix.txt"
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err_msg = "Failed to get topo matrix"
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default_value = ""
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call_cmd(cmd, err_msg, default_value)
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rank_first = paddle.paddle.distributed.get_rank()
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# Get link info between devices
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for i in range(self.nb_devices):
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for j in range(self.nb_devices):
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if i == j:
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link_types.append("X")
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link_bandwidths.append(-1.0)
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else:
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link_source_global_ids.append(i + rank_first)
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link_target_global_ids.append(j + rank_first)
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link_latencies.append(0.0)
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if i > j:
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index = j * self.nb_devices + i
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link_types.append(link_types[index])
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link_bandwidths.append(link_bandwidths[index])
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elif i < j:
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link_type, link_bandwidth = self.get_link_bandwidth(
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i, j
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)
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link_types.append(link_type)
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link_bandwidths.append(link_bandwidth)
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for i in reversed(range(self.nb_devices)):
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link_types.pop(i * self.nb_devices + i)
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link_bandwidths.pop(i * self.nb_devices + i)
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cmd = "rm /tmp/matrix.txt"
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err_msg = "Failed to delete matrix.txt"
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default_value = ""
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# call_cmd(cmd, err_msg, default_value)
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for i in range(len(link_types)):
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link = {}
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link['source_global_id'] = link_source_global_ids[i]
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link['target_global_id'] = link_target_global_ids[i]
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link['type'] = link_types[i]
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link['latency'] = link_latencies[i]
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link['bandwidth'] = link_bandwidths[i]
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self.links.append(link)
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self.machine['links'] = self.links
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def detect(self):
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# Get host info
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self.get_host_info()
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# Get device info
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self.get_device_info()
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# Get link info between devices
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self.get_link_info()
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self.json_object = json.dumps(self.machine, indent=4)
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def dump(self, output_path):
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with open(output_path, "w") as outfile:
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json.dump(self.machine, outfile, indent=4)
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