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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...
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