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# -*- 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... | Normalize(mean=(103, 116, 123), std=(57, 57, 58)) | megengine.data.transform.Normalize |
# -*- 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... | ToMode("CHW") | megengine.data.transform.ToMode |
# -*- 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... | RandomSampler(dataset, batch_size=4, drop_last=False) | megengine.data.sampler.RandomSampler |
# -*- 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... | RandomSampler(dataset, batch_size=10, drop_last=False) | megengine.data.sampler.RandomSampler |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | dtype.qint8(scale) | megengine.core.tensor.dtype.qint8 |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | F.round(x) | megengine.functional.round |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | F.clip(x, -128, 127) | megengine.functional.clip |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | Float.QuantStub() | megengine.module.QuantStub |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | QAT.QuantStub.from_float_module(normal_net) | megengine.module.qat.QuantStub.from_float_module |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_from_float) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_fake_quant(qat_from_float) | megengine.quantization.quantize.disable_fake_quant |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | QAT.QuantStub() | megengine.module.qat.QuantStub |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_net) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | propagate_qconfig(qat_net, min_max_fakequant_qconfig) | megengine.quantization.quantize.propagate_qconfig |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | Q.QuantStub.from_qat_module(qat_net) | megengine.module.quantized.QuantStub.from_qat_module |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | Float.DequantStub() | megengine.module.DequantStub |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | QAT.DequantStub.from_float_module(normal_net) | megengine.module.qat.DequantStub.from_float_module |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_fake_quant(qat_from_float) | megengine.quantization.quantize.disable_fake_quant |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_from_float) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | QAT.DequantStub() | megengine.module.qat.DequantStub |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_net) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | propagate_qconfig(qat_net, min_max_fakequant_qconfig) | megengine.quantization.quantize.propagate_qconfig |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | Q.DequantStub.from_qat_module(qat_net) | megengine.module.quantized.DequantStub.from_qat_module |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | Float.Elemwise(kind) | megengine.module.Elemwise |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | QAT.Elemwise.from_float_module(normal_net) | megengine.module.qat.Elemwise.from_float_module |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_from_float) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_fake_quant(qat_from_float) | megengine.quantization.quantize.disable_fake_quant |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | QAT.Elemwise(kind) | megengine.module.qat.Elemwise |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_net) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | propagate_qconfig(qat_net, min_max_fakequant_qconfig) | megengine.quantization.quantize.propagate_qconfig |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | Q.Elemwise.from_qat_module(qat_net) | megengine.module.quantized.Elemwise.from_qat_module |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | Float.Linear(3, 3, bias=True) | megengine.module.Linear |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | QAT.Linear(3, 3, bias=True) | megengine.module.qat.Linear |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_net) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | propagate_qconfig(qat_net, min_max_fakequant_qconfig) | megengine.quantization.quantize.propagate_qconfig |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | QAT.Linear.from_float_module(normal_net) | megengine.module.qat.Linear.from_float_module |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_fake_quant(qat_from_float) | megengine.quantization.quantize.disable_fake_quant |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_from_float) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | Q.Linear.from_qat_module(qat_net) | megengine.module.quantized.Linear.from_qat_module |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_net) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | propagate_qconfig(qat_net, min_max_fakequant_qconfig) | megengine.quantization.quantize.propagate_qconfig |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_observer(qat_from_float) | megengine.quantization.quantize.disable_observer |
import numpy as np
import pytest
import megengine as mge
import megengine.functional as F
import megengine.module as Float
import megengine.module.qat as QAT
import megengine.module.quantized as Q
from megengine.core.tensor import dtype
from megengine.quantization import min_max_fakequant_qconfig
from megengine.quanti... | disable_fake_quant(qat_from_float) | megengine.quantization.quantize.disable_fake_quant |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | mge.get_logger(__name__) | megengine.get_logger |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | mge.tensor(facescrub, dtype="float32") | megengine.tensor |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | mge.tensor(megaface, dtype="float32") | megengine.tensor |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | mge.set_log_file(worklog_path) | megengine.set_log_file |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | mge.load(checkpoint_path) | megengine.load |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | F.normalize(embedding, axis=1) | megengine.functional.normalize |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | data.SequentialSampler(dataset, batch_size=configs["batch_size"]) | megengine.data.SequentialSampler |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | data.DataLoader(dataset, sampler=sampler, transform=preprocess) | megengine.data.DataLoader |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | mge.tensor(images, dtype="float32") | megengine.tensor |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | T.Normalize(mean=127.5, std=128) | megengine.data.transform.Normalize |
# Copyright (c) Megvii, Inc. and its affiliates.
"""do the evaluation work with single gpu
"""
import argparse
import os
import megengine as mge
import megengine.data as data
import megengine.data.transform as T
import megengine.functional as F
import numpy as np
from tqdm.auto import tqdm
from recognition.datasets ... | T.ToMode("CHW") | megengine.data.transform.ToMode |
# -*- 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... | ExternOprSubgraph(wk_raw_content, "mace", osizes) | megengine.module.external.ExternOprSubgraph |
# -*- 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... | jit.trace(symbolic=True) | megengine.jit.trace |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.random.seed(args.seed) | megengine.random.seed |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.dtr.enable() | megengine.dtr.enable |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | F.abs(flow_preds[i] - flow_gt) | megengine.functional.abs |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | dist.get_rank() | megengine.distributed.get_rank |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | dist.get_world_size() | megengine.distributed.get_world_size |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.amp.GradScaler() | megengine.amp.GradScaler |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.load(chk_path, map_location="cpu") | megengine.load |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | dist.launcher(main) | megengine.distributed.launcher |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | dist.make_allreduce_cb("mean") | megengine.distributed.make_allreduce_cb |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | autodiff.GradManager() | megengine.autodiff.GradManager |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.get_device_count("gpu") | megengine.get_device_count |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.save(ckp_data, save_path) | megengine.save |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.amp.autocast(enabled=args.mixed_precision) | megengine.amp.autocast |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.tensor(left) | megengine.tensor |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.tensor(right) | megengine.tensor |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.tensor(gt_disp) | megengine.tensor |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | mge.tensor(valid_mask) | megengine.tensor |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | F.expand_dims(gt_disp, axis=1) | megengine.functional.expand_dims |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | F.concat([gt_disp, gt_disp * 0], axis=1) | megengine.functional.concat |
import os
import sys
import time
import logging
from collections import namedtuple
import megengine as mge
import megengine.distributed as dist
import megengine.functional as F
import megengine.autodiff as autodiff
import megengine.optimizer as optim
import yaml
from tensorboardX import SummaryWriter
from nets impor... | F.expand_dims(valid, 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... | mgb.opr.broadcast(inp, shape) | megengine._internal.opr.broadcast |
# -*- 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... | mgb.opr.concat(index0, index1, axis=0) | megengine._internal.opr.concat |
# -*- 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... | mgb.opr.concat(v0, v1, axis=0) | megengine._internal.opr.concat |
# -*- 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... | mgb.opr.dimshuffle(inp, pattern) | megengine._internal.opr.dimshuffle |
# -*- 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... | mgb.opr.reshape(inp, target_shape) | megengine._internal.opr.reshape |
# -*- 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... | mgb.opr.add_axis(inp, axis) | megengine._internal.opr.add_axis |
# -*- 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... | mgb.opr.remove_axis(inp, axis) | megengine._internal.opr.remove_axis |
# -*- 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... | mgb.opr.set_advanced_indexing(out, v) | megengine._internal.opr.set_advanced_indexing |
# -*- 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... | mgb.opr.linspace(start, stop, num, comp_node=device, comp_graph=comp_graph) | megengine._internal.opr.linspace |
# -*- 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... | mgb.opr.advanced_indexing(inp) | megengine._internal.opr.advanced_indexing |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | enable_expr_checker() | megengine.traced_module.enable_expr_checker |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | Tensor(1) | megengine.Tensor |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(m1, x) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(m2, x) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | Tensor(2) | megengine.Tensor |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(m3, a, b) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(m4, a, b) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(m4, a, y=b) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(m4, x=a, y=b) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(tm4, a, b) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(tm4, a, y=b) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | trace_module(tm4, x=a, y=b) | megengine.traced_module.trace_module |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | Tensor(x) | megengine.Tensor |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... | Tensor([1, x, 1]) | megengine.Tensor |
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