# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.

import os

# Get relative file path
# this returns relative path from current file.
import torch.cuda
from torchrl._utils import seed_generator


def get_relative_path(curr_file, *path_components):
    return os.path.join(os.path.dirname(curr_file), *path_components)


def get_available_devices():
    devices = [torch.device("cpu")]
    n_cuda = torch.cuda.device_count()
    if n_cuda > 0:
        for i in range(n_cuda):
            devices += [torch.device(f"cuda:{i}")]
    return devices


def generate_seeds(seed, repeat):
    seeds = [seed]
    for _ in range(repeat - 1):
        seed = seed_generator(seed)
        seeds.append(seed)
    return seeds