prompt stringlengths 94 42.6k | completion stringlengths 6 120 | api stringlengths 14 68 |
|---|---|---|
# -*- 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... | isscalar(b) | megengine.core.tensor.utils.isscalar |
# -*- 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... | trace(symbolic=symbolic, capture_as_const=True) | megengine.jit.trace |
# -*- 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.topk(x, 3) | megengine.functional.topk |
# -*- 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.warp_perspective(x, M, (2, 2)) | megengine.functional.warp_perspective |
# -*- 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... | trace(symbolic=symbolic, capture_as_const=True) | megengine.jit.trace |
# -*- 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.nn.nms(boxes, scores=scores, iou_thresh=0.5, max_output=20) | megengine.functional.nn.nms |
# -*- 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([2]) | 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([2]) | 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... | F.broadcast_to(x, shape) | megengine.functional.broadcast_to |
# -*- 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.clip(x, lower, upper) | megengine.functional.clip |
# -*- 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... | Parameter([1.0], dtype=np.float32) | megengine.Parameter |
# -*- 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.exp(x) | 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... | GradManager() | megengine.autodiff.GradManager |
# -*- 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... | exp(x) | 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... | exp(x) | 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... | tensor([1, 10], dtype=np.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... | F.broadcast_to(x, (3, 4, 5)) | megengine.functional.broadcast_to |
# -*- 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(boxes) | 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(scores) | 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... | exclude_from_trace() | megengine.jit.exclude_from_trace |
# -*- 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.nn.nms(boxes, scores=scores, iou_thresh=0.5) | megengine.functional.nn.nms |
# -*- 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([0]) | 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]) | 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... | F.arange(8) | megengine.functional.arange |
# -*- 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... | trace(symbolic=True, symbolic_shape=symbolic_shape) | megengine.jit.trace |
# -*- 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... | exclude_from_trace() | megengine.jit.exclude_from_trace |
# -*- 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... | cgtools.get_owner_opr_inputs(out) | megengine.utils.comp_graph_tools.get_owner_opr_inputs |
# -*- 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... | exp(x) | 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... | exp(y) | 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... | exp(x) | 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... | exp(y) | megengine.functional.exp |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b0/effnet_b0.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b1/effnet_b1.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b2/effnet_b2.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b3/effnet_b3.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b4/effnet_b4.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b5/effnet_b5.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b6/effnet_b6.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b7/effnet_b7.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b8/effnet_b8.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_l2/effnet_l2.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b0_lite/effnet_b0_lite.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b1_lite/effnet_b1_lite.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b2_lite/effnet_b2_lite.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b3_lite/effnet_b3_lite.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnet_b4_lite/effnet_b4_lite.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnetv2_b0/effnetv2_b0.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnetv2_b1/effnetv2_b1.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnetv2_b2/effnetv2_b2.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnetv2_b3/effnetv2_b3.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnetv2_s/effnetv2_s.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnetv2_m/effnetv2_m.pkl"
) | megengine.hub.pretrained |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 2020 <NAME>
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
"""EfficientNet Series
EfficientNet: `"EfficientNet: Rethinking... | hub.pretrained(
"https://data.megengine.org.cn/research/basecls/models/effnet/effnetv2_l/effnetv2_l.pkl"
) | megengine.hub.pretrained |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | fill_(x, 5.0) | megengine.module.init.fill_ |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | Linear(in_features=3, out_features=8) | megengine.module.Linear |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | calculate_fan_in_and_fan_out(l.weight) | megengine.module.init.calculate_fan_in_and_fan_out |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | Conv1d(in_channels=2, out_channels=3, kernel_size=5) | megengine.module.Conv1d |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | calculate_fan_in_and_fan_out(l.weight) | megengine.module.init.calculate_fan_in_and_fan_out |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | Conv2d(in_channels=2, out_channels=3, kernel_size=(5, 7)) | megengine.module.Conv2d |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | calculate_fan_in_and_fan_out(l.weight) | megengine.module.init.calculate_fan_in_and_fan_out |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | Conv2d(in_channels=2, out_channels=4, kernel_size=(5, 7), groups=2) | megengine.module.Conv2d |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | calculate_fan_in_and_fan_out(l.weight) | megengine.module.init.calculate_fan_in_and_fan_out |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | Conv3d(in_channels=2, out_channels=4, kernel_size=(5, 7, 9), groups=2) | megengine.module.Conv3d |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | calculate_fan_in_and_fan_out(l.weight) | megengine.module.init.calculate_fan_in_and_fan_out |
# -*- coding: utf-8 -*-
# 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 ARRANTI... | calculate_fan_in_and_fan_out(l.bias) | megengine.module.init.calculate_fan_in_and_fan_out |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor(0) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | trace(symbolic=True, capture_as_const=True) | megengine.jit.tracing.trace |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(orig_model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(orig_model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(orig_model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor([1, 2]) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor([3, 4]) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | trace(symbolic=True, capture_as_const=True) | megengine.jit.tracing.trace |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(orig_model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | F.mul(vara, varb) | megengine.functional.mul |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | F.relu(out) | megengine.functional.relu |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | GraphInference(modified_model) | megengine.utils.comp_graph_tools.GraphInference |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor([1, 2]) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor([3, 4]) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | trace(symbolic=True, capture_as_const=True) | megengine.jit.tracing.trace |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(orig_model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | F.sub(vara, varb) | megengine.functional.sub |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | F.relu(out1) | megengine.functional.relu |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | GraphInference(modified_model1) | megengine.utils.comp_graph_tools.GraphInference |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | F.ones((2,)) | megengine.functional.ones |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | F.ones((2,)) | megengine.functional.ones |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | trace(symbolic=True, capture_as_const=True) | megengine.jit.tracing.trace |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | trace(symbolic=True, capture_as_const=True) | megengine.jit.tracing.trace |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor([1, 2]) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor([3, 4]) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | trace(symbolic=True, capture_as_const=True) | megengine.jit.tracing.trace |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(orig_model) | megengine.utils.network.Network.load |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | GraphInference(modified_model) | megengine.utils.comp_graph_tools.GraphInference |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor([1, 2]) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Tensor([3, 4]) | megengine.tensor.Tensor |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | trace(symbolic=True, capture_as_const=True) | megengine.jit.tracing.trace |
import io
import numpy as np
import megengine.core.tensor.megbrain_graph as G
import megengine.functional as F
import megengine.module as M
import megengine.utils.network_node as N
from megengine.jit.tracing import trace
from megengine.tensor import Tensor
from megengine.utils.comp_graph_tools import GraphInference
f... | Net.load(orig_model) | megengine.utils.network.Network.load |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.