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-rw-r--r--cyborg_enhancement/mitaka_version/cyborg/cyborg/accelerator/drivers/gpu/utils.py67
1 files changed, 67 insertions, 0 deletions
diff --git a/cyborg_enhancement/mitaka_version/cyborg/cyborg/accelerator/drivers/gpu/utils.py b/cyborg_enhancement/mitaka_version/cyborg/cyborg/accelerator/drivers/gpu/utils.py
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+++ b/cyborg_enhancement/mitaka_version/cyborg/cyborg/accelerator/drivers/gpu/utils.py
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+# Copyright 2018 Lenovo, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"); you may
+# not use this file except in compliance with the License. You may obtain
+# a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+
+"""
+Utils for GPU driver.
+"""
+
+import re
+import subprocess
+
+
+GPU_FLAGS = ["VGA compatible controller", "3D controller"]
+GPU_INFO_PATTERN = re.compile("(?P<devices>[0-9]{2}:[0-9]{2}\.[0-9]) (?P"
+ "<name>.*) \[.* [\[](?P<vendor_id>[0-9a-fA-F]{4})"
+ ":(?P<product_id>[0-9a-fA-F]{4})] .*")
+
+
+def discover_vendors():
+ cmd = "sudo lspci -nnn | grep -E '%s'"
+ cmd = cmd % "|".join(GPU_FLAGS)
+ p = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
+ p.wait()
+ gpus = p.stdout.readlines()
+ vendors = set()
+ for gpu in gpus:
+ m = GPU_INFO_PATTERN.match(gpu)
+ if m:
+ vendor_id = m.groupdict().get("vendor_id")
+ vendors.add(vendor_id)
+ return vendors
+
+
+def discover_gpus(vender_id=None):
+ cmd = "sudo lspci -nnn | grep -E '%s'"
+ cmd = cmd % "|".join(GPU_FLAGS)
+ if vender_id:
+ cmd = cmd + "| grep " + vender_id
+ p = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
+ p.wait()
+ gpus = p.stdout.readlines()
+ gpu_list = []
+ for gpu in gpus:
+ m = GPU_INFO_PATTERN.match(gpu)
+ if m:
+ gpu_dict = m.groupdict()
+ gpu_dict["function"] = "GPU"
+ gpu_dict["devices"] = _match_nova_addr(gpu_dict["devices"])
+ gpu_dict["assignable"] = True
+ gpu_list.append(gpu_dict)
+ return gpu_list
+
+
+def _match_nova_addr(devices):
+ addr = '0000:'+devices.replace(".", ":")
+ return addr