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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python import core, workspace
from caffe2.proto import caffe2_pb2
import time
def build_net(net_name, cross_socket):
net = core.Net(net_name)
net.Proto().type = "async_scheduling"
numa... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import unittest
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import brew, core, model_helper, rnn_cell
import ca... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import unittest
from caffe2.python import core, workspace, tt_core
import caffe2.python.hypothesis_test_util as hu
class TestTTSVD(hu.HypothesisTest... |
## @package lstm_benchmark
# Module caffe2.python.lstm_benchmark
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, utils, rnn_cell, model_hel... |
## @package tt_core
# Module caffe2.python.tt_core
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
"""
The following methods are various utility methods for using the Tensor-Train
decomposition, or TT-decomposition introduced by I. V. Ose... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, scope
from caffe2.python.modeling.parameter_sharing import (
ParameterSharing,
)
from caffe2.python.layer_test_util import LayersTestC... |
## @package workspace
# Module caffe2.python.workspace
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import contextlib
from google.protobuf.message import Message
from multiprocessing import Process
import os
from col... |
## @package net_drawer
# Module caffe2.python.net_drawer
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import json
import logging
from collections import defaultdict
from caffe2.python import utils
fro... |
## @package control_ops_grad
# Module caffe2.python.control_ops_grad
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
def gen_do_gradient(op, g_output):
"""
Generates gradie... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util as hu
import numpy as np
def FakeQuantization8BitsRowwise(data):
min_el = np.mi... |
## @package extension_loader
# Module caffe2.python.extension_loader
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import contextlib
import ctypes
import sys
_set_global_flags = (
hasattr(sys, 'getdlopenflags') ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python.dataio import Reader, ReaderWithLimit, ReaderWithTimeLimit
from caffe2.python.dataset import Dataset
from caffe2.python.pipeline import pipe
from caffe... |
## @package dyndep
# Module caffe2.python.dyndep
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import ctypes
import os
from caffe2.python import core, extension_loader
def InitOpsLibrary(name):
"""Loads a dyna... |
import numpy as np
import unittest
from caffe2.python import core, workspace, test_util
class TestToyRegression(test_util.TestCase):
def testToyRegression(self):
"""Tests a toy regression end to end.
The test code carries a simple toy regression in the form
y = 2.0 x1 + 1.5 x2 + 0.5
... |
## @package data_workers
# Module caffe2.python.data_workers
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
'''
This module provides a python-land multithreaded data input mechanism
for Caffe2 nets.
Basic usage is a... |
## @package data_parallel_model
# Module caffe2.python.data_parallel_model
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import OrderedDict
from future.utils import viewitems, viewkeys, viewvalues
import logging
import copy
from caffe2.py... |
## @package scope
# Module caffe2.python.scope
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import contextlib
import threading
from past.builtins import basestring
from caffe2.proto import caffe2_pb2
# The name s... |
## @package model_helper_api
# Module caffe2.python.model_helper_api
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
import copy
import inspect
from past.builtins import basestring
from caffe2.python.model_h... |
## @package net_printer
# Module caffe2.python.net_printer
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto.caffe2_pb2 import OperatorDef, NetDef
from caffe2.python.checkpoint import Job
from caffe2.py... |
## @package schema
# Module caffe2.python.schema
"""
Defines a minimal set of data types that allow to represent datasets with
arbitrary nested structure, including objects of variable length, such as
maps and lists.
This defines a columnar storage format for such datasets on top of caffe2
tensors. In terms of capacit... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python.schema import (
Struct, FetchRecord, NewRecord, FeedRecord, InitEmptyRecord)
from caffe2.python import core, workspace
from caffe2.python.session i... |
## @package app
# Module caffe2.python.mint.app
import argparse
import flask
import glob
import numpy as np
import nvd3
import os
import sys
import tornado.httpserver
import tornado.wsgi
__folder__ = os.path.abspath(os.path.dirname(__file__))
app = flask.Flask(
__name__,
template_folder=os.path.join(__folder_... |
# @package adaptive_weight
# Module caffe2.fb.python.layers.adaptive_weight
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import ModelLayer
impo... |
## @package sampling_train
# Module caffe2.python.layers.sampling_train
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer, get_layer_cla... |
## @package tags
# Module caffe2.python.layers.tags
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import six
from caffe2.python import context
@context.define_context(allow_default=True)
class TagContext(object):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from caffe2.python import core, schema
from caffe2.python.layers.layers import ModelLayer
class MapToRange(ModelLayer):
"""
This layer aims ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
import numpy as np
class BatchNormalization(ModelLayer):
def __init__(
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import (
get_categorical_limit,
ModelLayer,
IdList
)
import numpy as np
class MergeIdList... |
# @package homotopy_weight
# Module caffe2.fb.python.layers.homotopy_weight
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import ModelLayer
imp... |
## @package sampling_trainable_mixin
# Module caffe2.python.layers.sampling_trainable_mixin
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import abc
import six
class SamplingTrainableMixin(six.with_metaclass(abc.AB... |
## @package last_n_window_collector
# Module caffe2.python.layers.last_n_window_collector
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import M... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
import numpy as np
class RandomFourierFeatures(ModelLayer):
"""
Implementat... |
## @package fc
# Module caffe2.python.layers.fc
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
from caffe2.python.layers.sampling_tra... |
## @package concat
# Module caffe2.python.layers.concat
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import (
ModelLayer,
)
from future.utils imp... |
## @package batch_distill_lr_loss
# Module caffe2.python.layers.batch_distill_lr_loss
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import (
... |
## @package position_weighted
# Module caffe2.python.layers.position_weighted
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
import numpy as np
from caffe2.python import schema
from caffe2.python.layer... |
## @package random_neg_rank_loss
# Module caffe2.python.layers.random_neg_rank_loss
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema, core
from caffe2.python.layers.layers import (
M... |
## @package batch_softmax_loss
# Module caffe2.python.layers.batch_softmax_loss
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import ModelLayer
... |
## @package add_bias
# Module caffe2.python.layers.add_bias
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
import math
class AddBia... |
## @package fc_without_bias
# Module caffe2.python.layers.fc_without_bias
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
from caffe2.... |
## @package dot_product
# Module caffe2.python.layers.dot_product
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import (
ModelLayer,
)
class Pai... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
import numpy as np
class ArcCosineFeatureMap(ModelLayer):
"""
A general vers... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from importlib import import_module
import pkgutil
import sys
from . import layers
def import_recursive(package):
"""
Takes a package and imports all modules un... |
## @package sparse_lookup
# Module caffe2.python.layers.sparse_lookup
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python.helpers.arg_scope import get_current_scope
from caffe2.python import schema
from ... |
## @package batch_sigmoid_cross_entropy_loss
# Module caffe2.python.layers.batch_sigmoid_cross_entropy_loss
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.lay... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.arc_cosine_feature_map import ArcCosineFeatureMap
import numpy as np
class SemiRandomFeatures(ArcCosineFeatur... |
## @package batch_lr_loss
# Module caffe2.python.layers.batch_lr_loss
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import (
ModelLayer,
)
f... |
## @package gather_record
# Module caffe2.python.layers.gather_record
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import ModelLayer
class Ga... |
# @package sparse_to_dense
# Module caffe2.python.layers.sparse_to_dense
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import (
ModelLayer,
)
impo... |
# @package functional
# Module caffe2.python.layers.functional
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema, scope, workspace
from caffe2.python.layers.layers import (
Mode... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
from caffe2.python import schema
from caffe2.python.layers.layers import (
InstantiationContext,
ModelLayer,
)
logger = logging.getLogger(__name... |
## @package split
# Module caffe2.python.layers.split
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import (
ModelLayer,
)
class Split(ModelLaye... |
# Copyright (c) 2016-present, Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... |
## @package reservoir_sampling
# Module caffe2.python.layers.reservoir_sampling
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import ModelLayer
... |
## @package sparse_feature_hash
# Module caffe2.python.layers.sparse_feature_hash
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema, core
from caffe2.python.layers.layers import (
Mod... |
# Module caffe2.python.layers.dropout
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
class Dropout(ModelLayer):
def __init__(
... |
## @package conv
# Module caffe2.python.layers.conv
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import (
ModelLayer,
)
import numpy as np
clas... |
## @package layers
# Module caffe2.python.layers.layers
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
from caffe2.python import core, schema, scope, utils, workspace
from caffe2.python.layers.tags imp... |
## @package batch_mse_loss
# Module caffe2.python.layers.batch_mse_loss
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import (
ModelLayer,
)... |
# @package constant_weight
# Module caffe2.fb.python.layers.constant_weight
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
import num... |
## @package uniform_sampling
# Module caffe2.python.layers.uniform_sampling
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from caffe2.python import core, schema
from caffe2.python.layers.layers im... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase
import numpy as np
import unittest
class DoOpTest(TestCase):
def test_operator(self):
def make_net():
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python import (
brew, cnn, core, workspace, data_parallel_model,
timeout_guard, model_helper, optimizer)
from caffe2.python.test_util import TestCase
import caffe2.python.models.resnet as r... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python import workspace
from caffe2.python.test.executor_test_util import (
build_conv_model,
build_resnet50_dataparallel_model,
run_resnet50_epoch,
ExecutorTestBase,
executor_te... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python import core, workspace
import unittest
core.GlobalInit(['python'])
class BlobDeallocationTest(unittest.TestCase):
def test(self):
net = core.Net('net')
x = net.GivenTe... |
## @package onnx
# Module caffe2.python.onnx.backend_rep_cpp
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from onnx.backend.base import BackendRep, namedtupledict
# This is a wrapper around C++ Caffe2BackendRep,
#... |
## @package onnx
# Module caffe2.python.onnx.backend
"""Backend for running ONNX on Caffe2
To run this, you will need to have Caffe2 installed as well.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
im... |
## @package onnx
# Module caffe2.python.onnx.error
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
class BaseException(Exception): pass
class Unsupported(BaseException): pass
|
## @package onnx
# Module caffe2.python.onnx.frontend
"""Caffe2 Protobuf to ONNX converter
To run this, you will need to have Caffe2 installed as well.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import iter... |
## @package onnx
# Module caffe2.python.onnx.helper
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
from onnx.backend.base import namedtupledict
from caffe2.python.onnx.workspace im... |
## @package onnx
# Module caffe2.python.onnx.workspace
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import uuid
from caffe2.python import workspace
class Workspace(object):
"""
An object representing a C... |
## @package onnx
# Module caffe2.python.onnx.backend_rep
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.proto import caffe2_pb2
from onnx.backend.base import Backe... |
## @package onnx
# Module caffe2.python.onnx.bin.conversion
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
from caffe2.proto import caffe2_pb2
import click
import numpy as np
from onnx import checker, ModelProto
from caffe2.python.onnx.backen... |
## @package onnx
# Module caffe2.python.onnx.tests.onnx_backend_test
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import unittest
import onnx.backend.test
import caffe2.python.onnx.backend as c2
# This... |
## @package onnx
# Module caffe2.python.onnx.tests.test_utils
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import numpy as np
class TestCase(unittest.TestCase):
def setUp(self):
np.ra... |
## @package onnx
# Module caffe2.python.onnx.tests.helper_test
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
from caffe2.python.onnx.helper import dummy_name
from caffe2.python.onnx.tests.test_util... |
## @package onnx
# Module caffe2.python.onnx.tests.ssa_test
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import onnx
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from onnx i... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
|
## @package onnx
# Module caffe2.python.onnx.tests.conversion_test
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import tempfile
import textwrap
import traceback
import unittest
import zipfile
from caffe2.proto import caffe2_pb2
from caffe2.p... |
## @package onnx
# Module caffe2.python.onnx.tests.c2_ref_test
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import json
import os
import unittest
from caffe2.python import core
from caffe2.proto import caffe2_pb2
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import inspect
import numpy as np
from hypothesis import assume, given, settings
import hypothesis.strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.pyt... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase
import numpy as np
import numpy.testing as npt
from hypothesis import given
import... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace, core, rnn_cell
from caffe2.python.model_helper import ModelHelper
from caffe2.python.rnn.rnn_cell_test_util import tanh
import caffe2... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as n... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
class ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
impor... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import unittest
class TestSoftplus(hu.HypothesisTestCase):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from hypothesis import given
import numpy as np
from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
class TestFlatten(hu.HypothesisTestCase)... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from hypothesis import assume, given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
clas... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from hypothesis import given
import hypothesis.strategies as st
import numpy as np
from caffe2.python import brew, core, workspace
import caffe2.python.hypothesis_test_ut... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from hypothesis import assume, given
import hypothesis.strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_uti... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from scipy.sparse import coo_matrix
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core
import caffe2.pyth... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from hypothesis import given
from hypothesis import strategies as st
import caffe2.python.hypothesis_test_util as hu
import numpy as np
im... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from hypothesis import given, assume
import hypothesis.strategies as st
from caffe2.python import core, model_helper, brew
import caffe2.python.hypothesis_test_util as hu
class TestInstanc... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase
import numpy as np
lengths = [[0], [1, 2], [1, 0, 2, 0]]
features1 = [[],
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
class TestAssert(hu.HypothesisTestCase):
@... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from hypothesis import given
import numpy as np
import unittest
from caffe2.proto import caffe2_pb2, hsm_pb2
from caffe2.python import workspace, core, gradient_checker
i... |
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