repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/detectron2/modeling/proposal_generator/rrpn_outputs.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import itertools
import logging
import torch
from detectron2.layers import batched_nms_rotated, cat
from detectron2.structures import Instances, RotatedBoxes, pairwise_iou_rotated
from .rpn_outputs import RPNOutputs
logger = logging.getLogger(__n... | 10,828 | 43.93361 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/detectron2/structures/image_list.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from __future__ import division
from typing import Any, List, Sequence, Tuple, Union
import torch
from torch.nn import functional as F
class ImageList(object):
"""
Structure that holds a list of images (of possibly
varying sizes) as a... | 3,877 | 37.39604 | 97 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/detectron2/structures/instances.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import itertools
from typing import Any, Dict, List, Tuple, Union
import torch
from detectron2.layers import cat
class Instances:
"""
This class represents a list of instances in an image.
It stores the attributes of instances (e.g., ... | 6,235 | 32.347594 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/detectron2/structures/masks.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import itertools
import numpy as np
from typing import Any, Iterator, List, Union
import pycocotools.mask as mask_utils
import torch
from detectron2.layers import cat
from detectron2.layers.roi_align import ROIAlign
from .boxes import ... | 15,644 | 36.338902 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/detectron2/structures/rotated_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
from typing import Iterator, List, Union
import torch
from detectron2.layers import cat
from detectron2.layers.rotated_boxes import pairwise_iou_rotated
from .boxes import Boxes
class RotatedBoxes(Boxes):
"""
This structure s... | 18,599 | 36.274549 | 99 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/detectron2/structures/keypoints.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
from typing import Any, List, Tuple, Union
import torch
from detectron2.layers import interpolate
class Keypoints:
"""
Stores keypoint annotation data. GT Instances have a `gt_keypoints` property
containing the x,y ... | 8,067 | 37.419048 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/detectron2/structures/boxes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import numpy as np
from enum import Enum, unique
from typing import Iterator, List, Tuple, Union
import torch
from detectron2.layers import cat
_RawBoxType = Union[List[float], Tuple[float, ...], torch.Tensor, np.ndarray]
@unique
cla... | 10,029 | 32.211921 | 96 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/query_db.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import logging
import os
import sys
from timeit import default_timer as timer
from typing import Any, ClassVar, Dict, List
import torch
from detectron2.data.catalog import DatasetCatalog
from detectron2.utils.logger import setup_log... | 8,349 | 32.669355 | 96 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/apply_net.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import glob
import logging
import os
import pickle
import sys
from typing import Any, ClassVar, Dict, List
import torch
from detectron2.config import get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.eng... | 10,822 | 33.912903 | 97 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/densepose/structures.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import base64
import numpy as np
from io import BytesIO
import torch
from PIL import Image
from torch.nn import functional as F
class DensePoseTransformData(object):
# Horizontal symmetry label transforms used for horizontal flip
MASK_LAB... | 20,628 | 38.671154 | 128 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/densepose/dataset_mapper.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import torch
from fvcore.common.file_io import PathManager
from detectron2.data import MetadataCatalog
from detectron2.data import detection_utils as utils
from detectron2.data import transforms as T
from .stru... | 4,892 | 40.117647 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/densepose/densepose_head.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.layers import Conv2d, ConvTranspose2d, interpolate
from detectron2.structures.boxes import matched_boxlist_iou
from detectron2.utils.registry import Registry
fr... | 25,082 | 39.004785 | 192 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/densepose/evaluator.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import contextlib
import copy
import io
import itertools
import json
import logging
import os
from collections import OrderedDict
import torch
from pycocotools.coco import COCO
from detectron2.data import MetadataCatalog
fr... | 4,577 | 33.421053 | 95 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/densepose/roi_head.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from detectron2.modeling import ROI_HEADS_REGISTRY, StandardROIHeads
from detectron2.modeling.poolers import ROIPooler
from detectron2.modeling.roi_heads import select_foreground_proposals
from .densepose_head... | 4,464 | 41.122642 | 99 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/densepose/vis/base.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import numpy as np
import cv2
import torch
Image = np.ndarray
Boxes = torch.Tensor
class MatrixVisualizer(object):
"""
Base visualizer for matrix data
"""
def __init__(
self,
inplace=True,
c... | 6,700 | 34.08377 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/DensePose/densepose/vis/extractor.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
from typing import Sequence
import torch
from detectron2.layers.nms import batched_nms
from detectron2.structures.instances import Instances
from densepose.vis.bounding_box import BoundingBoxVisualizer, ScoredBoundingBoxVisualizer
f... | 5,076 | 32.183007 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/TridentNet/tridentnet/trident_backbone.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn.functional as F
from detectron2.layers import Conv2d, FrozenBatchNorm2d, get_norm
from detectron2.modeling import BACKBONE_REGISTRY, ResNet, ResNetBlockBase, make_stage
from d... | 7,944 | 34.46875 | 97 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/TridentNet/tridentnet/trident_rpn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from detectron2.modeling import PROPOSAL_GENERATOR_REGISTRY
from detectron2.modeling.proposal_generator.rpn import RPN
from detectron2.structures import ImageList
@PROPOSAL_GENERATOR_REGISTRY.register()
class TridentRPN(RPN):
"""... | 1,170 | 34.484848 | 90 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/TridentNet/tridentnet/trident_conv.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.modules.utils import _pair
from detectron2.layers.wrappers import _NewEmptyTensorOp
class TridentConv(nn.Module):
def __init__(
self,
in_chan... | 3,888 | 35.009259 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/TensorMask/setup.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import glob
import os
from setuptools import find_packages, setup
import torch
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
torch_ver = [int(x) for x in torch.__version__.split(".")[:2]]
assert... | 2,178 | 28.849315 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/TensorMask/tensormask/arch.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import logging
import math
from typing import List
import torch
import torch.nn.functional as F
from fvcore.nn import sigmoid_focal_loss_star_jit, smooth_l1_loss
from torch import nn
from detectron2.layers import ShapeSpec, batched_nms,... | 41,530 | 44.890608 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/TensorMask/tensormask/layers/swap_align2nat.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from tensormask import _C
class _SwapAlign2Nat(Function):
@staticmethod
def forward(ctx, X, lambda_val, pad_val):
ctx... | 2,151 | 33.709677 | 93 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/projects/TensorMask/tests/test_swap_align2nat.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
from torch.autograd import gradcheck
from tensormask.layers.swap_align2nat import SwapAlign2Nat
class SwapAlign2NatTest(unittest.TestCase):
@unittest.skipIf(not torch.cuda.is_available(), "CUDA unavailable")
d... | 1,032 | 32.322581 | 84 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_checkpoint.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
from collections import OrderedDict
import torch
from torch import nn
from detectron2.checkpoint.c2_model_loading import align_and_update_state_dicts
from detectron2.utils.logger import setup_logger
class TestCheckpointer(unittest... | 1,655 | 32.795918 | 79 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_rotated_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import math
import random
import unittest
import torch
from fvcore.common.benchmark import benchmark
from detectron2.layers.rotated_boxes import pairw... | 24,032 | 40.507772 | 96 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_mask_ops.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import contextlib
import io
import numpy as np
import os
import unittest
from collections import defaultdict
import torch
import tqdm
from fvcore.common.benchmark import benchmark
from pycocotools.coco import COCO
from tabul... | 6,733 | 34.442105 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_roi_align_rotated.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import cv2
import torch
from torch.autograd import Variable, gradcheck
from detectron2.layers.roi_align import ROIAlign
from detectron2.layers.roi_align_rotated import ROIAlignRotated
logger = logging.getLogger(__nam... | 6,734 | 37.050847 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_roi_pooler.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.modeling.poolers import ROIPooler
from detectron2.structures import Boxes, RotatedBoxes
logger = logging.getLogger(__name__)
class TestROIPooler(unittest.TestCase):
def _rand_boxes(... | 2,939 | 33.186047 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_fast_rcnn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.modeling.box_regression import Box2BoxTransform, Box2BoxTransformRotated
from detectron2.modeling.roi_heads.fast_rcnn import FastRCNNOutputLayers, Fas... | 4,331 | 40.653846 | 100 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_model_e2e.py | # -*- coding: utf-8 -*-
import unittest
import torch
import detectron2.model_zoo as model_zoo
from detectron2.config import get_cfg
from detectron2.modeling import build_model
from detectron2.structures import BitMasks, Boxes, Instances
from detectron2.utils.events import EventStorage
def get_model_zoo(config_path... | 2,714 | 26.989691 | 90 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_box2box_transform.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.modeling.box_regression import Box2BoxTransform, Box2BoxTransformRotated
logger = logging.getLogger(__name__)
def random_boxes(mean_box, stdev, N):
return torch.rand(N, 4) * stdev +... | 2,509 | 37.615385 | 94 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_nms_rotated.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from __future__ import absolute_import, division, print_function, unicode_literals
import unittest
import torch
from torchvision import ops
from detectron2.layers import batched_nms, batched_nms_rotated, nms_rotated
class TestNMSRotated(unittest.... | 7,375 | 45.1 | 96 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_sampler.py | # -*- coding: utf-8 -*-
import unittest
from torch.utils.data.sampler import SequentialSampler
from detectron2.data.samplers import GroupedBatchSampler
class TestGroupedBatchSampler(unittest.TestCase):
def test_missing_group_id(self):
sampler = SequentialSampler(list(range(100)))
group_ids = [1] ... | 684 | 27.541667 | 56 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
import unittest
import torch
from detectron2.structures import Boxes, BoxMode, pairwise_iou
class TestBoxMode(unittest.TestCase):
def _convert_xy_to_wh(self, x):
return BoxMode.convert(x, BoxMode.XYXY_ABS, BoxMode.X... | 1,976 | 29.890625 | 75 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_rpn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.modeling.backbone import build_backbone
from detectron2.modeling.proposal_generator.build import build_proposal_generator
from detectron2.structures i... | 9,564 | 44.331754 | 99 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_roi_align.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
import unittest
import cv2
import torch
from detectron2.layers.roi_align import ROIAlign
class ROIAlignTest(unittest.TestCase):
def test_forward_output(self):
input = np.arange(25).reshape(5, 5).astype("float32")
... | 2,894 | 32.275862 | 89 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_visualizer.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# File:
import numpy as np
import unittest
import torch
from detectron2.data import MetadataCatalog
from detectron2.structures import BoxMode, Instances, RotatedBoxes
from detectron2.utils.visualizer import Visualizer
cla... | 5,467 | 36.972222 | 93 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_anchor_generator.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.layers import ShapeSpec
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator, RotatedAnchorGenerator
logger = logging.getLogger(__... | 3,511 | 37.593407 | 95 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/tests/test_roi_heads.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.modeling.backbone import build_backbone
from detectron2.modeling.proposal_generator.build import build_proposal_generator
from detectron2.modeling.roi... | 4,874 | 43.724771 | 97 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/demo/predictor.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import atexit
import bisect
import multiprocessing as mp
from collections import deque
import cv2
import torch
from detectron2.data import MetadataCatalog
from detectron2.engine.defaults import DefaultPredictor
from detectron2.utils.video_visualize... | 7,851 | 34.529412 | 96 | py |
Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior-main/docs/conf.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# flake8: noqa
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/maste... | 8,223 | 27.85614 | 99 | py |
CNTK | CNTK-master/bindings/python/cntk/tensor.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
"""
Tensor operations.
"""
import warnings
from scipy import sparse
class TensorO... | 9,698 | 35.462406 | 111 | py |
CNTK | CNTK-master/bindings/python/cntk/io/transforms.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
from .. import cntk_py
from cntk.internal import sanitize_2d_number, sanitize_range... | 8,295 | 53.578947 | 112 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/__init__.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
"""
Extra utilities for CNTK, e.g. utilities that bridge to other deep learning tool... | 470 | 26.705882 | 85 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/convert.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
imp... | 1,642 | 33.229167 | 93 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/examples/run_convert.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
'''
... | 1,747 | 39.651163 | 92 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/adapter/__init__.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
fro... | 414 | 33.583333 | 80 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/adapter/bvlccaffe/caffeimpl.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
impo... | 2,180 | 27.324675 | 80 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/adapter/bvlccaffe/caffeadapter.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
imp... | 25,201 | 42.52677 | 129 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/adapter/bvlccaffe/caffe_pb2.py | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: caffe.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _mes... | 256,644 | 41.960328 | 29,402 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/unimodel/cntkinstance.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
fro... | 20,497 | 40.9182 | 121 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/tests/op2cntk_test.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
imp... | 8,256 | 31.507874 | 104 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/utils/globalconf.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
fro... | 2,478 | 25.37234 | 98 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/validation/validcaffe.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
imp... | 3,045 | 37.556962 | 105 | py |
CNTK | CNTK-master/bindings/python/cntk/contrib/crosstalkcaffe/validation/validcore.py | # ==============================================================================
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
imp... | 3,283 | 35.898876 | 99 | py |
CNTK | CNTK-master/bindings/python/doc/conf.py | import re
try:
import cntk
except ImportError:
raise ImportError("Unable to import cntk; the cntk module needs to be built "
"and importable to generate documentation")
from cntk.sample_installer import module_is_unreleased
try:
import sphinx_rtd_theme
except ImportError:
raise ... | 2,815 | 26.076923 | 89 | py |
CNTK | CNTK-master/Tests/EndToEndTests/CNTKv2Python/Keras/conftest.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
import os
import zipfile
import shutil
try:
from urllib.request import urlretri... | 1,756 | 39.860465 | 121 | py |
CNTK | CNTK-master/Tests/EndToEndTests/CNTKv2Python/Examples/rpn_unit_test.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
import os, sys
import pytest
import numpy as np
from cntk import user_function
from... | 10,067 | 43.548673 | 140 | py |
CNTK | CNTK-master/Tests/EndToEndTests/CNTKv2Python/Examples/FlappingBird_with_keras_DQN_test.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
import numpy as np
import os
import platform
import sys
import pytest
os.environ["... | 2,132 | 32.857143 | 166 | py |
CNTK | CNTK-master/Examples/ReinforcementLearning/FlappingBirdWithKeras/FlappingBird_with_keras_DQN.py | #!/usr/bin/env python
from __future__ import print_function
import argparse
from collections import deque
import json
import numpy as np
import os
import random
import requests
import skimage as skimage
from skimage import transform, color, exposure
from skimage.transform import rotate
from skimage.viewer import Image... | 9,162 | 34.378378 | 131 | py |
CNTK | CNTK-master/Examples/Image/Detection/utils/caffe_layers/default_config.py | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Fast R-CNN config system.
This file specifies default config option... | 9,213 | 31.216783 | 91 | py |
CNTK | CNTK-master/Examples/Image/Detection/utils/caffe_layers/proposal_layer.py | # --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick and Sean Bell
# --------------------------------------------------------
#import caffe
import numpy as np
import yaml
from utils... | 6,978 | 37.136612 | 80 | py |
CNTK | CNTK-master/Examples/Image/Detection/utils/caffe_layers/proposal_target_layer.py | # --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick and Sean Bell
# --------------------------------------------------------
#import caffe
import yaml
import numpy as np
import num... | 8,197 | 37.669811 | 106 | py |
CNTK | CNTK-master/Examples/Image/Detection/utils/caffe_layers/anchor_target_layer.py | # --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick and Sean Bell
# --------------------------------------------------------
import os
#import caffe
import yaml
import numpy as np
... | 11,890 | 39.445578 | 95 | py |
CNTK | CNTK-master/Examples/Image/Detection/FastRCNN/BrainScript/fastRCNN/test.py | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Test a Fast R-CNN network on an imdb (image database)."""
from __fu... | 13,520 | 38.535088 | 161 | py |
CNTK | CNTK-master/Examples/Image/Classification/GoogLeNet/InceptionV3/Python/InceptionV3_ImageNet_Distributed.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
import os
import math
import argparse
import numpy as np
import cntk as C
from Inc... | 7,640 | 47.056604 | 167 | py |
CNTK | CNTK-master/Examples/Image/Classification/GoogLeNet/InceptionV3/Python/InceptionV3_ImageNet.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
import os
import math
import argparse
import numpy as np
import cntk as C
from Inc... | 10,529 | 43.808511 | 171 | py |
CNTK | CNTK-master/Examples/Image/Classification/GoogLeNet/BN-Inception/Python/BN_Inception_CIFAR10_Distributed.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
from __future__ import print_function
from __future__ import division
import os
im... | 8,349 | 47.265896 | 167 | py |
CNTK | CNTK-master/Examples/Image/Classification/GoogLeNet/BN-Inception/Python/BN_Inception_ImageNet.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
from __future__ import print_function
from __future__ import division
import os
im... | 10,786 | 42.495968 | 171 | py |
CNTK | CNTK-master/Examples/Image/Classification/GoogLeNet/BN-Inception/Python/BN_Inception_CIFAR10.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
from __future__ import print_function
from __future__ import division
import os
im... | 10,779 | 42.643725 | 167 | py |
CNTK | CNTK-master/Examples/Image/Classification/GoogLeNet/BN-Inception/Python/BN_Inception_ImageNet_Distributed.py | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
from __future__ import print_function
from __future__ import division
import os
im... | 8,215 | 46.767442 | 167 | py |
random-fourier-features-pytorch | random-fourier-features-pytorch-main/setup.py | from setuptools import setup
from pathlib import Path
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
setup(name='random-fourier-features-pytorch',
version='1.0.1',
description='Random Fourier Features for PyTorch',
long_description=long_descripti... | 686 | 33.35 | 71 | py |
random-fourier-features-pytorch | random-fourier-features-pytorch-main/rff/dataloader.py | import torch
import torchvision
from torch import Tensor
from torch.utils.data.dataset import TensorDataset
def rectangular_coordinates(size: tuple) -> Tensor:
r"""Creates a tensor of equally spaced coordinates for use with an image or volume
Args:
size (tuple): shape of the image or volume
Ret... | 948 | 28.65625 | 86 | py |
random-fourier-features-pytorch | random-fourier-features-pytorch-main/rff/functional.py | import numpy as np
import torch
from torch import Tensor
def sample_b(sigma: float, size: tuple) -> Tensor:
r"""Matrix of size :attr:`size` sampled from from :math:`\mathcal{N}(0, \sigma^2)`
Args:
sigma (float): standard deviation
size (tuple): size of the matrix sampled
See :class:`~rf... | 2,466 | 30.628205 | 139 | py |
random-fourier-features-pytorch | random-fourier-features-pytorch-main/rff/layers.py | import torch.nn as nn
from typing import Optional
from torch import Tensor
import rff
class GaussianEncoding(nn.Module):
"""Layer for mapping coordinates using random Fourier features"""
def __init__(self, sigma: Optional[float] = None,
input_size: Optional[float] = None,
e... | 3,415 | 37.818182 | 143 | py |
random-fourier-features-pytorch | random-fourier-features-pytorch-main/examples/image_representation_mlp.py | import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import rff
from itertools import repeat
from tqdm import tqdm
class MultiLayerBlock(nn.Module):
def __init__(self, hidden_layer_size: int = 256):
super().__init__()
self.layers = nn.Sequential(
nn.Linear(hidden_layer_si... | 1,909 | 28.84375 | 69 | py |
random-fourier-features-pytorch | random-fourier-features-pytorch-main/test/test_layers.py | """
Test layers, the point to to make sure they can be created and that the output matches
the corresponding functional calls. Other testing will be performed in the functional
test.
"""
import numpy as np
import rff
import pytest
import torch
def check_cuda(device):
if device == 'cuda' and not torch.cuda.is_ava... | 2,527 | 31.410256 | 86 | py |
random-fourier-features-pytorch | random-fourier-features-pytorch-main/test/test_functional.py | import numpy as np
import torch
import unittest
import rff
class FunctionalTest(unittest.TestCase):
def test_sample_b(self):
b = rff.functional.sample_b(1.0, (3, 4))
self.assertEqual(b.shape, (3, 4))
def test_gaussian_encoding(self):
v = rff.dataloader.rectangular_coordinates((2, 2))... | 1,612 | 37.404762 | 76 | py |
ray | ray-master/dashboard/modules/job/tests/test_job_agent.py | import logging
import os
import ray
import requests
import shutil
import sys
import tempfile
import time
from pathlib import Path
from functools import partial
import pytest
import yaml
from ray._private.utils import get_or_create_event_loop
from ray._private.gcs_utils import GcsAioClient
from ray._private.runtime_en... | 20,541 | 33.994889 | 118 | py |
ray | ray-master/dashboard/modules/job/tests/test_http_job_server.py | import asyncio
import json
import logging
import os
import shutil
import sys
import tempfile
from pathlib import Path
import subprocess
import time
from typing import Optional
from unittest.mock import patch
import pytest
from ray.runtime_env.runtime_env import RuntimeEnv, RuntimeEnvConfig
import yaml
import ray
from... | 27,095 | 31.883495 | 88 | py |
ray | ray-master/rllib_contrib/a3c/examples/a3c_cartpole_v1.py | from rllib_a3c.a3c import A3C, A3CConfig
import ray
from ray import air, tune
if __name__ == "__main__":
ray.init()
config = (
A3CConfig()
.rollouts(num_rollout_workers=1)
.framework("torch")
.environment("CartPole-v1")
.training(
gamma=0.95,
)
... | 640 | 20.366667 | 73 | py |
ray | ray-master/rllib_contrib/a3c/src/rllib_a3c/a3c/a3c.py | import logging
from typing import Any, Dict, List, Optional, Type, Union
from ray.rllib.algorithms.algorithm import Algorithm
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.evaluation.rollout_worker import RolloutWorker
from ray.rllib.policy.policy import Policy
from ray.... | 10,752 | 40.041985 | 88 | py |
ray | ray-master/rllib_contrib/a3c/src/rllib_a3c/a3c/a3c_torch_policy.py | from typing import Dict, List, Optional, Type, Union
from ray.rllib.evaluation.episode import Episode
from ray.rllib.evaluation.postprocessing import (
Postprocessing,
compute_gae_for_sample_batch,
)
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_action_dist import TorchDistribu... | 5,384 | 34.196078 | 87 | py |
ray | ray-master/rllib_contrib/a3c/src/rllib_a3c/a3c/a3c_tf_policy.py | """Note: Keep in sync with changes to VTraceTFPolicy."""
from typing import Dict, List, Optional, Type, Union
from ray.rllib.evaluation.episode import Episode
from ray.rllib.evaluation.postprocessing import (
Postprocessing,
compute_gae_for_sample_batch,
)
from ray.rllib.models.modelv2 import ModelV2
from ray.... | 6,432 | 33.961957 | 82 | py |
ray | ray-master/rllib_contrib/a3c/tests/test_a3c.py | import unittest
from rllib_a3c.a3c import A3CConfig
import ray
from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID
from ray.rllib.utils.metrics.learner_info import LEARNER_INFO, LEARNER_STATS_KEY
from ray.rllib.utils.test_utils import (
check_compute_single_action,
check_train_results,
framework_i... | 3,320 | 31.242718 | 87 | py |
ray | ray-master/rllib_contrib/r2d2/src/rllib_r2d2/r2d2/r2d2.py | import logging
from typing import Optional, Type
from rllib_r2d2.r2d2.r2d2_tf_policy import R2D2TFPolicy
from rllib_r2d2.r2d2.r2d2_torch_policy import R2D2TorchPolicy
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.algorithms.dqn import DQN, DQNConfig
from ray.rllib.polic... | 8,686 | 37.78125 | 88 | py |
ray | ray-master/rllib_contrib/r2d2/src/rllib_r2d2/r2d2/r2d2_tf_policy.py | """TensorFlow policy class used for R2D2."""
from typing import Dict, List, Optional, Tuple
import gymnasium as gym
import ray
from ray.rllib.algorithms.dqn.dqn_tf_policy import (
PRIO_WEIGHTS,
build_q_model,
clip_gradients,
compute_q_values,
postprocess_nstep_and_prio,
)
from ray.rllib.models.ac... | 11,627 | 31.75493 | 88 | py |
ray | ray-master/rllib_contrib/r2d2/src/rllib_r2d2/r2d2/r2d2_torch_policy.py | """PyTorch policy class used for R2D2."""
from typing import Dict, Tuple
import gymnasium as gym
import ray
from ray.rllib.algorithms.dqn.dqn_tf_policy import (
PRIO_WEIGHTS,
postprocess_nstep_and_prio,
)
from ray.rllib.algorithms.dqn.dqn_torch_policy import (
adam_optimizer,
build_q_model_and_distri... | 11,151 | 32.590361 | 88 | py |
ray | ray-master/rllib_contrib/r2d2/tests/test_r2d2.py | import unittest
from rllib_r2d2.r2d2.r2d2 import R2D2Config
import ray
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.metrics.learner_info import LEARNER_INFO
from ray.rllib.utils.test_utils import (
check_compute_single_action,
check_train_results,
framework_it... | 3,189 | 30.9 | 85 | py |
ray | ray-master/rllib_contrib/a2c/examples/a2c_cartpole_v1.py | import argparse
from rllib_a2c.a2c import A2C, A2CConfig
import ray
from ray import air, tune
from ray.rllib.utils.test_utils import check_learning_achieved
def get_cli_args():
"""Create CLI parser and return parsed arguments"""
parser = argparse.ArgumentParser()
parser.add_argument("--run-as-test", act... | 1,187 | 23.244898 | 76 | py |
ray | ray-master/rllib_contrib/ddpg/examples/ddpg_pendulum_v1.py | import argparse
from rllib_ddpg.ddpg import DDPG, DDPGConfig
import ray
from ray import air, tune
from ray.rllib.utils.test_utils import check_learning_achieved
def get_cli_args():
"""Create CLI parser and return parsed arguments"""
parser = argparse.ArgumentParser()
parser.add_argument("--run-as-test",... | 2,269 | 27.024691 | 76 | py |
ray | ray-master/rllib_contrib/ddpg/src/rllib_ddpg/ddpg/ddpg.py | import logging
from typing import List, Optional, Type
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.algorithms.simple_q.simple_q import SimpleQ, SimpleQConfig
from ray.rllib.policy.policy import Policy
from ray.rllib.utils.annotations import override
from ray.rllib.util... | 13,520 | 42.06051 | 87 | py |
ray | ray-master/rllib_contrib/ddpg/src/rllib_ddpg/ddpg/ddpg_tf_model.py | from typing import List, Optional
import gymnasium as gym
import numpy as np
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import ModelConfigDict, TensorType
tf1, tf, tfv = try_import_tf()
class DDPGTFModel(TFModelV2):
"""Ex... | 7,519 | 34.471698 | 87 | py |
ray | ray-master/rllib_contrib/ddpg/src/rllib_ddpg/ddpg/utils.py | import gymnasium as gym
import numpy as np
from rllib_ddpg.ddpg.ddpg_tf_model import DDPGTFModel
from rllib_ddpg.ddpg.ddpg_torch_model import DDPGTorchModel
from rllib_ddpg.ddpg.noop_model import NoopModel, TorchNoopModel
from ray.rllib import Policy
from ray.rllib.models import ModelV2
from ray.rllib.models.catalog i... | 3,292 | 37.290698 | 84 | py |
ray | ray-master/rllib_contrib/ddpg/src/rllib_ddpg/ddpg/ddpg_torch_policy.py | import logging
from typing import Any, Dict, List, Optional, Tuple, Type
import gymnasium as gym
from rllib_ddpg.ddpg.utils import make_ddpg_models, validate_spaces
import ray
from ray.rllib.algorithms.dqn.dqn_tf_policy import (
PRIO_WEIGHTS,
postprocess_nstep_and_prio,
)
from ray.rllib.evaluation import Epis... | 13,097 | 36.316239 | 88 | py |
ray | ray-master/rllib_contrib/ddpg/src/rllib_ddpg/ddpg/ddpg_torch_model.py | from typing import Dict, List, Optional, Union
import gymnasium as gym
import numpy as np
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import try_import_torch
from ray.rl... | 8,601 | 35.295359 | 87 | py |
ray | ray-master/rllib_contrib/ddpg/src/rllib_ddpg/ddpg/ddpg_tf_policy.py | import logging
from functools import partial
from typing import Any, Dict, List, Optional, Tuple, Type, Union
import gymnasium as gym
from rllib_ddpg.ddpg.utils import make_ddpg_models, validate_spaces
from ray.rllib.algorithms.dqn.dqn_tf_policy import (
PRIO_WEIGHTS,
postprocess_nstep_and_prio,
)
from ray.rl... | 16,705 | 39.158654 | 88 | py |
ray | ray-master/rllib_contrib/ddpg/src/rllib_ddpg/ddpg/noop_model.py | from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_tf
_, tf, _ = try_import_tf()
class NoopModel(TFModelV2):
... | 872 | 30.178571 | 65 | py |
ray | ray-master/rllib_contrib/ddpg/tests/test_ddpg.py | import copy
import re
import unittest
import gymnasium as gym
import numpy as np
from gymnasium.spaces import Box
from rllib_ddpg.ddpg import DDPGConfig
import ray
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.numpy imp... | 25,317 | 38.870866 | 88 | py |
ray | ray-master/rllib_contrib/maml/examples/cartpole_mass_maml.py | from gymnasium.wrappers import TimeLimit
from rllib_maml.maml import MAML, MAMLConfig
import ray
from ray import air, tune
from ray.rllib.examples.env.cartpole_mass import CartPoleMassEnv
from ray.tune.registry import register_env
if __name__ == "__main__":
ray.init()
register_env(
"cartpole",
... | 1,418 | 25.773585 | 82 | py |
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