helinwang

import tensorflow as tf

from google.protobuf.descriptor_pb2 import FileDescriptorSet
from google.protobuf.descriptor_pb2 import FileDescriptorProto

import baz_pb2


def decode(x):
    proto = FileDescriptorProto()

helinwang

# Copyright 2019 Google Inc. All Rights Reserved.
#
# 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,

helinwang

from tensorflow.keras import layers
import tensorflow as tf
import numpy as np

video_id = tf.feature_column.categorical_column_with_identity(
    key="video_id", num_buckets=1000000, default_value=0
)

features = {
    "video_id": tf.sparse.from_dense([[2, 85, 0, 0, 0], [33, 78, 2, 73, 1]]),

helinwang

# save to /usr/local/bin/gpu-run
# exmaplea: gpu-run python train.py
# this makes Nvidia GPU idle at around 9W instead of 20W with the requirement of:
# 1. make sure no process using Nvidia GPU at idle, this requires setting up desktop manager to use iGPU
# 2. run this script
# 3. setup and run the systemd target at bottom of this file

# Function to restore low power state
function restore_power {
    echo "Restoring low power state..."