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## @package optimizer_test_util
# Module caffe2.python.optimizer_test_util
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, workspace, cnn
class OptimizerTestBase(obje... |
## @package muji
# Module caffe2.python.muji
"""muji.py does multi-gpu training for caffe2 with no need to change the c++
side code. Everything is defined on the computation graph level.
Currently, here are the assumptions: we only support the following use cases:
- 2 gpus, where peer access is enabled between them.... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace, data_parallel_model, cnn, rnn_cell
from caffe2.python.test_util import TestCase
@unittest.skipI... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import hypothesis.strategies as st
import numpy as np
import numpy.testing as npt
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
from caf... |
# TODO(jiayq): as more and more tests are moving to hypothesis test, we
# can gradually remove this test script. DO NOT ADD MORE TESTS TO THIS
# FILE.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
... |
## @package attention
# Module caffe2.python.attention
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import brew
class AttentionType:
Regular, Recurrent = range(2)
def s(scope, name):
#... |
## @package task
# Module caffe2.python.task
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, context
from caffe2.python.schema import Field, from_blob_list
from collections import defaul... |
import unittest
from caffe2.python import convnet_benchmarks as cb
from caffe2.python import test_util, workspace
@unittest.skipIf(not workspace.has_gpu_support, "no gpu")
class TestConvnetBenchmarks(test_util.TestCase):
def testConvnetBenchmarks(self):
all_args = [
'--batch_size 16 --order NC... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python.optimizer import build_sgd, build_ftrl, build_adagrad, build_adam
from caffe2.python.optimizer_test_util import OptimizerTestBase
from caffe2.python.test_util import TestCase
from caffe2.pytho... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import scope, core
from caffe2.proto import caffe2_pb2
import unittest
import threading
import time
SUCCESS_COUNT = 0
def thread_runner(idx, testob... |
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.core import CreatePythonOperator
import caffe2.python.hypothesis_test_util as hu
from hypothesis import given
... |
## @package hsm_util
# Module caffe2.python.hsm_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import hsm_pb2
'''
Hierarchical softmax utility methods that can be used to:
1) create Tre... |
## @package memonger
# Module caffe2.python.memonger
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import networkx as nx
import collections
import time
import heapq
import copy
from caffe2.python import workspace
fro... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace, brew
from caffe2.python.model_helper import ModelHelper
from caffe2.python.cnn import CNNModelHelper
import unittest
import numpy as ... |
## @package layer_test_util
# Module caffe2.python.layer_test_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple
from caffe2.python import (
core,
layer_model_instantiator,... |
import numpy as np
import unittest
import sys
from caffe2.proto import caffe2_pb2, caffe2_legacy_pb2
from caffe2.python import core, cnn, workspace, device_checker, test_util
class TestMiniAlexNet(test_util.TestCase):
def _MiniAlexNetNoDropout(self, order):
# First, AlexNet using the cnn wrapper.
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import net_printer
from caffe2.python.checkpoint import Job
from caffe2.python.net_builder import ops
from caffe2.python.task import Task, final_output... |
## @package dataio
# Module caffe2.python.dataio
"""
Defines the base interface for reading and writing operations.
Readers/Writers are objects that produce operations that read/write sequences
of data. Each operation reads or writes a list of BlobReferences.
Readers and Writers must be implemented such that read and... |
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
import numpy as np
import unittest
import pickle
class TestDB(unittest.TestCase):
def testPicklable(self):
s = schem... |
## @package checkpoint
# Module caffe2.python.checkpoint
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import logging
from caffe2.python import core, context
from caffe2.python.net_builder import ops
from c... |
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 workspace, cnn, memonger, core
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
from hypot... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import errno
import hypothesis.strategies as st
from hypothesis import given
import numpy as np
import os
import shutil
import tempfile
import unittest
from caffe2.proto ... |
## @package hypothesis_test_util
# Module caffe2.python.hypothesis_test_util
"""
The Hypothesis library uses *property-based testing* to check
invariants about the code under test under a variety of random inputs.
The key idea here is to express properties of the code under test
(e.g. that it passes a gradient check,... |
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
class TestSparseToDenseMask(TestCase):
def test_sparse_to... |
## @package crf
# Module caffe2.python.crf
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, recurrent
from caffe2.python.cnn import CNNModelHelper
import numpy as np
'''
Due to a limitati... |
## @package recurrent
# Module caffe2.python.recurrent
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 caffe2.python.scope import CurrentNameScope
def recurrent_net(
net, c... |
## @package control
# Module caffe2.python.control
"""
Implement functions for controlling execution of nets and steps, including
Do
DoParallel
For-loop
While-loop
Do-While-loop
Switch
If
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from... |
## @package timeout_guard
# Module caffe2.python.timeout_guard
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import contextlib
import threading
import os
import time
import signal
import logging
'''
Sometimes CUDA ... |
import numpy as np
import os
import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import core, test_util, workspace, cnn
import caffe2.python.hypothesis_test_util as htu
import hypothesis.strategies as st
from hypothesis import given
class TestWorkspace(unittest.TestCase):
def setUp(self):
... |
## @package experiment_util
# Module caffe2.python.experiment_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import datetime
import time
import logging
import socket
import abc
import six
from collections import... |
## @package session
# Module caffe2.python.session
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.task import Cluster, Task, TaskGroup, WorkspaceType
cla... |
## @package record_queue
# Module caffe2.python.record_queue
"""
Implementation of an queue wrapper.
"""
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 caffe2.python.dataio import R... |
## @package layer_model_instantiator
# Module caffe2.python.layer_model_instantiator
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 Instan... |
## @package rnn_cell
# Module caffe2.python.rnn_cell
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import random
import functools
from caffe2.python.attention import (
AttentionType,
apply... |
## @package _import_c_extension
# Module caffe2.python._import_c_extension
import atexit
import logging
import sys
from caffe2.python import extension_loader
# We will first try to load the gpu-enabled caffe2. If it fails, we will then
# attempt to load the cpu version. The cpu backend is the minimum required, so
# if... |
## @package core
# Module caffe2.python.core
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple
from collections import OrderedDict
from caffe2.proto import caffe2_pb2
from collections ... |
## @package queue_util
# Module caffe2.python.queue_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, dataio
from caffe2.python.task import TaskGroup
class _QueueReader(dataio.Reade... |
## @package predictor_constants
# Module caffe2.python.predictor_constants
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import caffe2.proto.predictor_consts_pb2 as predictor_consts
predictor_constants = predictor_co... |
## @package convnet_benchmarks
# Module caffe2.python.convnet_benchmarks
"""
Benchmark for common convnets.
Speed on Titan X, with 10 warmup steps and 10 main steps and with different
versions of cudnn, are as follows (time reported below is per-batch time,
forward / forward+backward):
CuDNN V3 ... |
## @package gradient_checker
# Module caffe2.python.gradient_checker
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, workspace
from caffe2.proto import caffe2_pb2
c... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import copy
from functools import partial, reduce
from hypothesis import assume, given, settings
import hypothesis.strategies as st
import unittest
from caffe2.python import core, workspace,... |
## @package visualize
# Module caffe2.python.visualize
"""Functions that could be used to visualize Tensors.
This is adapted from the old-time iceberk package that Yangqing wrote... Oh gold
memories. Before decaf and caffe. Why iceberk? Because I was at Berkeley,
bears are vegetarian, and iceberg lettuce has layers of... |
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, ConstRecord
from caffe2.python import core, workspace
from caffe2.python.session import LocalSession
from caffe2.python.dataset i... |
## @package cnn
# Module caffe2.python.cnn
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import brew
from caffe2.python.model_helper import ModelHelper
from caffe2.proto import caffe2_pb2
import lo... |
## @package test_util
# Module caffe2.python.test_util
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 workspace
import unittest
def rand_array(*dims):
# np.random.ran... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import control, core, test_util, workspace
import logging
logger = logging.getLogger(__name__)
class TestControl(test_util.TestCase):
def setUp(... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace
import os
import tempfile
import unittest
class TestDB(unittest.TestCase):
def setUp(self):
handle, self.file_name = te... |
import unittest
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace, test_util
class TestScopes(test_util.TestCase):
def testBlobReferenceIsIndependentFromNameScope(self):
blob_v = core.BlobReference("v")
with core.NameScope("foo"):
blob_w ... |
## @package dataset
# Module caffe2.python.dataset
"""
Implementation of an in-memory dataset with structured schema.
Use this to store and iterate through datasets with complex schema that
fit in memory.
Iterating through entries of this dataset is very fast since the dataset
is stored as a set of native Caffe2 tens... |
## @package text_file_reader
# Module caffe2.python.text_file_reader
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 caffe2.python.dataio import Reader
from caffe2.python.schema impor... |
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
import time
from caffe2.python import workspace, cnn
from caffe2.python import timeout_guard
import caffe2.python.data_workers as data... |
## @package mkl_test_util
# Module caffe2.python.mkl_test_util
"""
The MKL test utils is a small addition on top of the hypothesis test utils
under caffe2/python, which allows one to more easily test MKL related
operators.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ impor... |
## @package net_builder
# Module caffe2.python.net_builder
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, context
from caffe2.python.task import Task, TaskGroup
@context.define_contex... |
## @package device_checker
# Module caffe2.python.device_checker
import numpy as np
import copy
from caffe2.python import workspace
class DeviceChecker(object):
"""A device checker in Python to check consistency across multiple devices.
This is not the most efficient way to check devices, as the Python inter... |
## @package context
# Module caffe2.python.context
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import threading
class ContextInfo(object):
def __init__(self, cls, allow_default, arg_name):
self.cls = ... |
# This a large test that goes through the translation of the bvlc caffenet
# model, runs an example through the whole model, and verifies numerically
# that all the results look right. In default, it is disabled unless you
# explicitly want to run it.
from caffe2.proto import caffe2_pb2
from caffe.proto import caffe_p... |
## @package caffe_translator
# Module caffe2.python.caffe_translator
#!/usr/bin/env python2
import argparse
import copy
import logging
import numpy as np # noqa
from caffe2.proto import caffe2_pb2, caffe2_legacy_pb2
from caffe.proto import caffe_pb2
from caffe2.python import core, utils, workspace
from google.protob... |
## @package utils
# Module caffe2.python.utils
from caffe2.proto import caffe2_pb2
from google.protobuf.message import DecodeError, Message
from google.protobuf import text_format
import collections
import functools
import numpy as np
import sys
if sys.version_info > (3,):
# This is python 3. We will define a few... |
## @package pipeline
# Module caffe2.python.pipeline
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, queue_util
from caffe2.python.dataio import Reader, Writer
from caffe2.python.net_bui... |
import numpy as np
import unittest
from caffe2.python import core, workspace, muji, test_util
@unittest.skipIf(not workspace.has_gpu_support, "no gpu")
class TestMuji(test_util.TestCase):
def RunningAllreduceWithGPUs(self, gpu_ids, allreduce_function):
"""A base function to test different scenarios."""
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace
from caffe2.python.core import Plan, to_execution_step
from caffe2.python.task import Task, final_output
from caffe2.python.net_builde... |
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 unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import core, test_util
from caffe2... |
## @package model_helper
# Module caffe2.python.model_helper
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, workspace
import numpy as np
import logging
class ParameterType(obj... |
## @package optimizer
# Module caffe2.python.optimizer
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple
from caffe2.python import core
from caffe2.proto import caffe2_pb2
_OPTIMIZER_I... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import context, test_util
from threading import Thread
@context.define_context()
class MyContext(object):
pass
class TestContext(test_util.Test... |
## @package layer_model_helper
# Module caffe2.python.layer_model_helper
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, model_helper, schema
from caffe2.python.layers import layers
imp... |
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 cnn, workspace, core, utils, rnn_cell
impo... |
## @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... |
## @package workspace
# Module caffe2.python.workspace
import contextlib
from google.protobuf.message import Message
from multiprocessing import Process
import os
import shutil
import socket
import tempfile
import logging
from six import string_types
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.... |
## @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
lo... |
## @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 ReaderWithLimit
from caffe2.python.dataset import Dataset
from caffe2.python.pipeline import pipe
from caffe2.python.schema import Struct... |
## @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
import logging
import copy
from caffe2.python import model_helper, dyndep, scope, workspace, core,... |
## @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 caffe2.proto import caffe2_pb2
# Python 2 and 3 compatibility: test if basestring... |
## @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 caffe2.python.model_helper import ModelHelper
# flake8: n... |
## @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
from caffe2.python.checkpoint import Job
from caffe2.python.cor... |
## @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 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
from caffe2.python import context
@context.define_context(allow_default=True)
class TagContext(object):
"""
... |
## @package simple_operator_layers
# Module caffe2.python.layers.simple_operator_layers
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 (
Mod... |
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 LayerParameter, ModelLayer
class MapToRange(ModelLayer):
"""
... |
## @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 (... |
## @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 core, schema
from caffe2.python.layers.layers import (
ModelLayer,
LayerParameter
)
from... |
## @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,
)
import numpy as np
... |
## @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 schema
from caffe2.python.layers.layers import (
Model... |
## @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 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 core, schema
from caffe2.python.layers.layers import (ModelLayer, Laye... |
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 import core, schema
from caffe2.python.layers.layers import (
get_categorical... |
## @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... |
## @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 optimizers
# Module caffe2.python.layers.optimizers
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import context
@context.define_context(allow_default=True)
class OptimizerContext(obj... |
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