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# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.is_distributed() | megengine.distributed.is_distributed |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | mge.tensor(image, dtype="float32") | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | mge.tensor(label, dtype="int32") | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.functional.all_reduce_sum(loss) | megengine.distributed.functional.all_reduce_sum |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.get_world_size() | megengine.distributed.get_world_size |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.functional.all_reduce_sum(acc1) | megengine.distributed.functional.all_reduce_sum |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.get_world_size() | megengine.distributed.get_world_size |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.functional.all_reduce_sum(acc5) | megengine.distributed.functional.all_reduce_sum |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.get_world_size() | megengine.distributed.get_world_size |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.functional.all_reduce_sum(loss) | megengine.distributed.functional.all_reduce_sum |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.get_world_size() | megengine.distributed.get_world_size |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.functional.all_reduce_sum(acc1) | megengine.distributed.functional.all_reduce_sum |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.get_world_size() | megengine.distributed.get_world_size |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.functional.all_reduce_sum(acc5) | megengine.distributed.functional.all_reduce_sum |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.get_world_size() | megengine.distributed.get_world_size |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | dist.get_rank() | megengine.distributed.get_rank |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | T.Resize(256) | megengine.data.transform.Resize |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | T.CenterCrop(224) | megengine.data.transform.CenterCrop |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | T.Normalize(mean=128) | megengine.data.transform.Normalize |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | T.ToMode("CHW") | megengine.data.transform.ToMode |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | M.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) | megengine.module.Conv2d |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | M.BatchNorm2d(64) | megengine.module.BatchNorm2d |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | M.AvgPool2d(kernel_size=5, stride=5, padding=0) | megengine.module.AvgPool2d |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | M.Linear(64, 10) | megengine.module.Linear |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | F.relu(x) | megengine.functional.relu |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | F.avg_pool2d(x, 22) | megengine.functional.avg_pool2d |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | F.flatten(x, 1) | megengine.functional.flatten |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | ad.GradManager() | megengine.autodiff.GradManager |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | ad.GradManager() | megengine.autodiff.GradManager |
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | mge.tensor(x) | megengine.tensor |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = | M.Conv2d(1, 6, 5) | megengine.module.Conv2d |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.ReLU() | megengine.module.ReLU |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.MaxPool2d(2, 2) | megengine.module.MaxPool2d |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Conv2d(6, 16, 5) | megengine.module.Conv2d |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.ReLU() | megengine.module.ReLU |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.MaxPool2d(2, 2) | megengine.module.MaxPool2d |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Linear(16 * 5 * 5, 120) | megengine.module.Linear |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.ReLU() | megengine.module.ReLU |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Linear(120, 84) | megengine.module.Linear |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.ReLU() | megengine.module.ReLU |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Linear(84, 10) | megengine.module.Linear |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | F.flatten(x, 1) | megengine.functional.flatten |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Conv2d(1, 6, 5) | megengine.module.Conv2d |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.ReLU() | megengine.module.ReLU |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.MaxPool2d(2, 2) | megengine.module.MaxPool2d |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Conv2d(6, 16, 5) | megengine.module.Conv2d |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.ReLU() | megengine.module.ReLU |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.MaxPool2d(2, 2) | megengine.module.MaxPool2d |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Linear(16 * 53 * 53, 120) | megengine.module.Linear |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.ReLU() | megengine.module.ReLU |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Linear(120, 84) | megengine.module.Linear |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.ReLU() | megengine.module.ReLU |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | M.Linear(84, 10) | megengine.module.Linear |
# -*- coding: utf-8 -*-
import megengine.module as M
import megengine.functional as F
class LeNet32x32(M.Module):
def __init__(self):
super().__init__()
# single channel image, two 5x5 Conv + ReLU + Pool
# Conv2d(1, 6, kernel_size=(5, 5))
self.conv1 = M.Conv2d(1, 6, 5)
self.... | F.flatten(x, 1) | megengine.functional.flatten |
import megengine as mge
import megengine.functional as F
from megengine.core import Tensor
def softmax_loss(pred, label, ignore_label=-1):
max_pred = F.zero_grad(pred.max(axis=1, keepdims=True))
pred -= max_pred
log_prob = pred - F.log(F.exp(pred).sum(axis=1, keepdims=True))
mask = 1 - F.equal(label, i... | F.abs(pred - target) | megengine.functional.abs |
import megengine as mge
import megengine.functional as F
from megengine.core import Tensor
def softmax_loss(pred, label, ignore_label=-1):
max_pred = F.zero_grad(pred.max(axis=1, keepdims=True))
pred -= max_pred
log_prob = pred - F.log(F.exp(pred).sum(axis=1, keepdims=True))
mask = 1 - | F.equal(label, ignore_label) | megengine.functional.equal |
import megengine as mge
import megengine.functional as F
from megengine.core import Tensor
def softmax_loss(pred, label, ignore_label=-1):
max_pred = F.zero_grad(pred.max(axis=1, keepdims=True))
pred -= max_pred
log_prob = pred - F.log(F.exp(pred).sum(axis=1, keepdims=True))
mask = 1 - F.equal(label, i... | F.indexing_one_hot(log_prob, vlabel, 1) | megengine.functional.indexing_one_hot |
import megengine as mge
import megengine.functional as F
from megengine.core import Tensor
def softmax_loss(pred, label, ignore_label=-1):
max_pred = F.zero_grad(pred.max(axis=1, keepdims=True))
pred -= max_pred
log_prob = pred - F.log( | F.exp(pred) | megengine.functional.exp |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | TQT_Function(-127, 127) | megengine.quantization.fake_quant.TQT_Function |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | tensor(a_np) | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | tensor(b_np) | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | tensor([1.0], dtype=np.float32) | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | tensor([4.0], dtype=np.float32) | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | tensor(inp_data, dtype=np.float32) | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | tensor(inp_data, dtype=np.float32) | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | fake_quant_tensor(x, qmin, qmax, q_dict) | megengine.quantization.utils.fake_quant_tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | tensor(inp_data, dtype=np.float32) | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | make_shape_tuple(x.grad.shape) | megengine.core.tensor.utils.make_shape_tuple |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | make_shape_tuple(x1.grad.shape) | megengine.core.tensor.utils.make_shape_tuple |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | fake_quant_tensor(inp, qmin, qmax, q_dict) | megengine.quantization.utils.fake_quant_tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | Grad() | megengine.core.autodiff.grad.Grad |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | Grad() | megengine.core.autodiff.grad.Grad |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.concat(box_logits_list, axis=1) | megengine.functional.concat |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.concat(box_offsets_list, axis=1) | megengine.functional.concat |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.concat(anchors_list, axis=0) | megengine.functional.concat |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.sigmoid(pred_logits) | megengine.functional.sigmoid |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.stack(box_prob_list, axis=0) | megengine.functional.stack |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.broadcast_to(gather_idx, (num_gt, bucket_size)) | megengine.functional.broadcast_to |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.indexing_one_hot(gather_src, gather_idx, axis=2) | megengine.functional.indexing_one_hot |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.exp(-reg_loss) | megengine.functional.exp |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.maximum(num_foreground, 1) | megengine.functional.maximum |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.maximum(num_foreground * bucket_size, 1) | megengine.functional.maximum |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.sigmoid(all_level_box_logits) | megengine.functional.sigmoid |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.cond_take(gt_pred_prob != 0, gt_pred_prob) | megengine.functional.cond_take |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.zeros(pred_logits.shape[1:]) | megengine.functional.zeros |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.concat(positive_losses) | megengine.functional.concat |
# -*- coding: utf-8 -*-
# This repo is licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.expand_dims(boxes_info[:, :4], axis=1) | megengine.functional.expand_dims |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | hub.pretrained(
"https://data.megengine.org.cn/models/weights/simplebaseline50_256x192_0_255_71_2.pkl"
) | megengine.hub.pretrained |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | hub.pretrained(
"https://data.megengine.org.cn/models/weights/simplebaseline101_256x192_0_255_72_2.pkl"
) | megengine.hub.pretrained |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | hub.pretrained(
"https://data.megengine.org.cn/models/weights/simplebaseline152_256x192_0_255_72_4.pkl"
) | megengine.hub.pretrained |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | M.Sequential(*_body) | megengine.module.Sequential |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | M.Conv2d(cfg.deconv_channels[-1], cfg.keypoint_num, 3, 1, 1) | megengine.module.Conv2d |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | F.square_loss(out * valid, label * valid) | megengine.functional.square_loss |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | M.init.normal_(self.last_layer.weight, std=0.001) | megengine.module.init.normal_ |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | M.init.zeros_(self.last_layer.bias) | megengine.module.init.zeros_ |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | mge.tensor(dtype="float32") | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | mge.tensor(dtype="float32") | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | mge.tensor(dtype="float32") | megengine.tensor |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | M.ConvTranspose2d(nf1, nf2s[i], kernel, 2, padding, bias=bias) | megengine.module.ConvTranspose2d |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | M.ReLU() | megengine.module.ReLU |
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