prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  [tensor] fix some unittests
  
  [tensor] fix some unittests
  
  [tensor] fix some unittests
  
  
  </issue>
  <code>
  [start of colossalai/cli/launcher/__init__.py]
  1 import click
  2 from .run import launch_multi_processes
  3 from colossalai.context import Config
  4 
  5 
  6 @click.command(help="Launch distributed training on a single node or multiple nodes",
  7                context_settings=dict(ignore_unknown_options=True))
  8 @click.option("-H",
  9               "-host",
  10               "--host",
  11               type=str,
  12               default=None,
  13               help="the list of hostnames to launch in the format <host1>,<host2>")
  14 @click.option(
  15     "--hostfile",
  16     type=str,
  17     default=None,
  18     help="Hostfile path that defines the device pool available to the job, each line in the file is a hostname")
  19 @click.option("--include",
  20               type=str,
  21               default=None,
  22               help="Specify computing devices to use during execution. String format is <host1>,<host2>,"
  23               " only effective when used with --hostfile.")
  24 @click.option(
  25     "--exclude",
  26     type=str,
  27     default=None,
  28     help=
  29     "Specify computing devices to NOT use during execution. Mutually exclusive with --include. Formatting is the same as --includ,"
  30     " only effective when used with --hostfile.")
  31 @click.option("--num_nodes",
  32               type=int,
  33               default=-1,
  34               help="Total number of worker nodes to use, only effective when used with --hostfile.")
  35 @click.option("--nproc_per_node", type=int, default=None, help="Number of GPUs to use on each node.")
  36 @click.option("--master_port",
  37               type=int,
  38               default=29500,
  39               help="(optional) Port used by PyTorch distributed for communication during distributed training.")
  40 @click.option("--master_addr",
  41               type=str,
  42               default="127.0.0.1",
  43               help="(optional) IP address of node 0, will be inferred via 'hostname -I' if not specified.")
  44 @click.option(
  45     "--extra_launch_args",
  46     type=str,
  47     default=None,
  48     help=
  49     "Set additional torch distributed launcher arguments such as --standalone. The format is --extra_launch_args arg1=1,arg2=2. "
  50     "This will be converted to --arg1=1 --arg2=2 during execution")
  51 @click.option("--ssh-port", type=int, default=None, help="(optional) the port used for ssh connection")
  52 @click.argument("user_script", type=str)
  53 @click.argument('user_args', nargs=-1)
  54 def run(host: str, hostfile: str, num_nodes: int, nproc_per_node: int, include: str, exclude: str, master_addr: str,
  55         master_port: int, extra_launch_args: str, ssh_port: int, user_script: str, user_args: str) -> None:
  56     """
  57     To launch multiple processes on a single node or multiple nodes via command line.
  58 
  59     Usage::
  60         # run with 4 GPUs on the current node use default port 29500
  61         colossalai run --nprocs_per_node 4 train.py
  62 
  63         # run with 2 GPUs on the current node at port 29550
  64         colossalai run --nprocs_per_node 4 --master_port 29550 train.py
  65 
  66         # run on two nodes
  67         colossalai run --host <host1>,<host2> --master_addr host1  --nprocs_per_node 4 train.py
  68 
  69         # run with hostfile
  70         colossalai run --hostfile <file_path> --master_addr <host>  --nprocs_per_node 4 train.py
  71 
  72         # run with hostfile with only included hosts
  73         colossalai run --hostfile <file_path> --master_addr host1 --include host1,host2  --nprocs_per_node 4 train.py
  74 
  75         # run with hostfile excluding the hosts selected
  76         colossalai run --hostfile <file_path> --master_addr host1 --exclude host2  --nprocs_per_node 4 train.py
  77     """
  78     if not user_script.endswith('.py'):
  79         click.echo(f'Error: invalid Python file {user_script}. Did you use a wrong option? Try colossalai run --help')
  80         exit()
  81 
  82     args_dict = locals()
  83     args = Config(args_dict)
  84     args.user_args = list(args.user_args)
  85     launch_multi_processes(args)
  86
  [end of colossalai/cli/launcher/__init__.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/colossalai/cli/launcher/__init__.py b/colossalai/cli/launcher/__init__.py
  --- a/colossalai/cli/launcher/__init__.py
  +++ b/colossalai/cli/launcher/__init__.py
  @@ -1,7 +1,9 @@
   import click
  -from .run import launch_multi_processes
  +
   from colossalai.context import Config
   
  +from .run import launch_multi_processes
  +
   
   @click.command(help="Launch distributed training on a single node or multiple nodes",
                  context_settings=dict(ignore_unknown_options=True))
  
verification_info: {"golden_diff": "diff --git a/colossalai/cli/launcher/__init__.py b/colossalai/cli/launcher/__init__.py\n--- a/colossalai/cli/launcher/__init__.py\n+++ b/colossalai/cli/launcher/__init__.py\n@@ -1,7 +1,9 @@\n import click\n-from .run import launch_multi_processes\n+\n from colossalai.context import Config\n \n+from .run import launch_multi_processes\n+\n \n @click.command(help=\"Launch distributed training on a single node or multiple nodes\",\n                context_settings=dict(ignore_unknown_options=True))\n", "issue": "[tensor] fix some unittests\n\n[tensor] fix some unittests\n\n[tensor] fix some unittests\n\n", "before_files": [{"content": "import click\nfrom .run import launch_multi_processes\nfrom colossalai.context import Config\n\n\n@click.command(help=\"Launch distributed training on a single node or multiple nodes\",\n               context_settings=dict(ignore_unknown_options=True))\n@click.option(\"-H\",\n              \"-host\",\n              \"--host\",\n              type=str,\n              default=None,\n              help=\"the list of hostnames to launch in the format <host1>,<host2>\")\n@click.option(\n    \"--hostfile\",\n    type=str,\n    default=None,\n    help=\"Hostfile path that defines the device pool available to the job, each line in the file is a hostname\")\n@click.option(\"--include\",\n              type=str,\n              default=None,\n              help=\"Specify computing devices to use during execution. String format is <host1>,<host2>,\"\n              \" only effective when used with --hostfile.\")\n@click.option(\n    \"--exclude\",\n    type=str,\n    default=None,\n    help=\n    \"Specify computing devices to NOT use during execution. Mutually exclusive with --include. Formatting is the same as --includ,\"\n    \" only effective when used with --hostfile.\")\n@click.option(\"--num_nodes\",\n              type=int,\n              default=-1,\n              help=\"Total number of worker nodes to use, only effective when used with --hostfile.\")\n@click.option(\"--nproc_per_node\", type=int, default=None, help=\"Number of GPUs to use on each node.\")\n@click.option(\"--master_port\",\n              type=int,\n              default=29500,\n              help=\"(optional) Port used by PyTorch distributed for communication during distributed training.\")\n@click.option(\"--master_addr\",\n              type=str,\n              default=\"127.0.0.1\",\n              help=\"(optional) IP address of node 0, will be inferred via 'hostname -I' if not specified.\")\n@click.option(\n    \"--extra_launch_args\",\n    type=str,\n    default=None,\n    help=\n    \"Set additional torch distributed launcher arguments such as --standalone. The format is --extra_launch_args arg1=1,arg2=2. \"\n    \"This will be converted to --arg1=1 --arg2=2 during execution\")\n@click.option(\"--ssh-port\", type=int, default=None, help=\"(optional) the port used for ssh connection\")\n@click.argument(\"user_script\", type=str)\n@click.argument('user_args', nargs=-1)\ndef run(host: str, hostfile: str, num_nodes: int, nproc_per_node: int, include: str, exclude: str, master_addr: str,\n        master_port: int, extra_launch_args: str, ssh_port: int, user_script: str, user_args: str) -> None:\n    \"\"\"\n    To launch multiple processes on a single node or multiple nodes via command line.\n\n    Usage::\n        # run with 4 GPUs on the current node use default port 29500\n        colossalai run --nprocs_per_node 4 train.py\n\n        # run with 2 GPUs on the current node at port 29550\n        colossalai run --nprocs_per_node 4 --master_port 29550 train.py\n\n        # run on two nodes\n        colossalai run --host <host1>,<host2> --master_addr host1  --nprocs_per_node 4 train.py\n\n        # run with hostfile\n        colossalai run --hostfile <file_path> --master_addr <host>  --nprocs_per_node 4 train.py\n\n        # run with hostfile with only included hosts\n        colossalai run --hostfile <file_path> --master_addr host1 --include host1,host2  --nprocs_per_node 4 train.py\n\n        # run with hostfile excluding the hosts selected\n        colossalai run --hostfile <file_path> --master_addr host1 --exclude host2  --nprocs_per_node 4 train.py\n    \"\"\"\n    if not user_script.endswith('.py'):\n        click.echo(f'Error: invalid Python file {user_script}. Did you use a wrong option? Try colossalai run --help')\n        exit()\n\n    args_dict = locals()\n    args = Config(args_dict)\n    args.user_args = list(args.user_args)\n    launch_multi_processes(args)\n", "path": "colossalai/cli/launcher/__init__.py"}]}