repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
chainer | chainer-master/tests/chainer_tests/optimizers_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainer_tests/optimizers_tests/test_optimizers_by_linear_model.py | import unittest
import numpy
import six
import chainer
from chainer.backends import cuda
from chainer.backends import intel64
import chainer.functions as F
from chainer import initializers
import chainer.links as L
from chainer import optimizers
from chainer import testing
from chainer.testing import attr
from chaine... | 11,047 | 30.838617 | 77 | py |
chainer | chainer-master/tests/chainer_tests/optimizers_tests/test_optimizers.py | import pickle
import unittest
import numpy as np
import six
import chainer
from chainer import functions as F
from chainer import optimizers
from chainer import testing
_all_optimizers = [
'AdaDelta',
'AdaGrad',
'Adam',
'AdamW',
'AMSGrad',
'AdaBound',
'AMSBound',
'CorrectedMomentumSG... | 10,781 | 28.140541 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainer_tests/links_tests/caffe_tests/test_caffe_function.py | import os
import tempfile
import unittest
import warnings
import mock
import numpy
import six
import chainer
from chainer import links
from chainer import testing
# The caffe submodule relies on protobuf which under protobuf==3.7.0 and
# Python 3.7 raises a DeprecationWarning from the collections module.
with warni... | 35,121 | 25.151899 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/caffe_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainer_tests/links_tests/activation_tests/test_simplified_dropconnect.py | import os
import tempfile
import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer.serializers import npz
from chainer import testing
from chainer.testing import attr
from chainer.utils import type_check
def gen_mask(rati... | 9,437 | 34.615094 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/activation_tests/test_prelu.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
class TestPReLUSingle(unittest.TestCase):
def setUp(self):
self.l... | 2,839 | 27.979592 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/activation_tests/test_swish.py | import unittest
import numpy
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
def _sigmoid(x):
xp = backend.get_array_module... | 2,698 | 26.824742 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/activation_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainer_tests/links_tests/activation_tests/test_maxout.py | import unittest
import numpy
import six
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer.initializers import constant
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
from chainer.utils import t... | 7,997 | 32.889831 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/loss_tests/test_hierarchical_softmax.py | import copy
import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
class TestHuffmanTree(unittest.TestCase):
def test_empty(self... | 4,988 | 33.888112 | 77 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/loss_tests/test_crf1d.py | import itertools
import unittest
import numpy
from six import moves
import chainer
from chainer.backends import cuda
from chainer import initializers
from chainer import links
from chainer import testing
from chainer.testing import attr
@testing.parameterize(*testing.product({
'dtype': [numpy.float16, numpy.flo... | 4,491 | 32.029412 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/loss_tests/test_negative_sampling.py | import unittest
import numpy
import chainer
from chainer import backend
from chainer.backend import CpuDevice
from chainer import links
from chainer import testing
@testing.parameterize(*testing.product({
'dtype': [numpy.float16, numpy.float32, numpy.float64],
't': [[0, 2], [-1, 1, 2]],
'reduce': ['sum'... | 6,720 | 32.108374 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/loss_tests/test_black_out.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import links
from chainer import testing
from chainer.testing import attr
@testing.parameterize(*testing.product({
'dtype': [numpy.float16, numpy.float32, numpy.float64]
}))
class TestBlackOut(unittest.TestCase):
bat... | 2,964 | 30.542553 | 76 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/loss_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_convolution_2d.py | import unittest
import numpy
import pytest
import six.moves.cPickle as pickle
import chainer
from chainer.backends import cuda
from chainer import functions as F
from chainer import links
from chainer import memory_layouts
from chainer import testing
from chainer.testing import attr
from chainer.utils import conv
@... | 10,531 | 30.818731 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_bias.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
@testing.parameterize(
{'learn_b': True},
{'learn_b': False}
)
class T... | 3,625 | 28.966942 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_inception.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import links
from chainer import testing
from chainer.testing import attr
class TestInception(unittest.TestCase):
in_channels = 3
out1, proj3, out3, proj5, out5, proj_pool = 3, 2, 3, 2, 3, 3
def setUp(self):
... | 1,221 | 26.155556 | 70 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_convolution_nd.py | import unittest
import numpy
import six.moves.cPickle as pickle
import chainer
from chainer.backends import cuda
from chainer import functions as F
from chainer import initializers
from chainer.links.connection import convolution_nd
from chainer import testing
from chainer.testing import attr
from chainer.utils impor... | 7,238 | 31.755656 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_deconvolution_nd.py | import unittest
import numpy
from chainer.backends import cuda
import chainer.functions as F
from chainer import initializers
from chainer.links.connection import deconvolution_nd
from chainer import testing
from chainer.testing import parameterize
from chainer.utils import conv
@parameterize(*testing.product({
... | 5,640 | 32.182353 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_mlp_convolution_2d.py | import unittest
import mock
import numpy
import chainer
from chainer.backends import cuda
from chainer import functions
from chainer import links
from chainer import testing
from chainer.testing import attr
@testing.parameterize(
{'use_cudnn': 'always'},
{'use_cudnn': 'never'},
)
class TestMLPConvolution2D(... | 7,175 | 35.426396 | 77 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_deformable_convolution_2d.py | import unittest
import numpy
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
from chainer import utils
@testing.parameterize(*testing.product({
'nobias': [True, False... | 2,074 | 27.819444 | 75 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_scale.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
@testing.parameterize(
{'learn_W': True, 'bias_term': False, 'bias_shape':... | 4,561 | 30.902098 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_bilinear.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
def _check_forward(e1, e2, f, y_expect):
e1 = chainer.Variable(e1)
e2 ... | 7,655 | 25.129693 | 76 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_depthwise_convolution_2d.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
@testing.parameterize(*testing.product({
'x_dtype': [numpy.float16, numpy.... | 2,938 | 33.576471 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_zoneoutlstm.py | import unittest
import numpy
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
def _sigmoid(x):
xp = backend.get_array_module(x)
half = x.dtype.type(0.5)
r... | 8,509 | 35.367521 | 77 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_dilated_convolution_2d.py | import unittest
import numpy
import six.moves.cPickle as pickle
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.utils import conv
class TestDilatedConvolution2D(unittest.TestCase):... | 7,200 | 32.03211 | 76 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_highway.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import functions
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
class TestHighway(unittest.TestCase):
in_out_size = 3
def setUp(self):
... | 2,545 | 29.309524 | 70 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_embed_id.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
@testing.parameterize(
{'x_data': [0, 1, 0], 'ignore_label': None},
{'... | 4,458 | 29.128378 | 76 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_linear.py | import os
import tempfile
import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer.serializers import npz
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
from chainer.utils... | 6,766 | 30.474419 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_inceptionbn.py | import unittest
import numpy
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import links
from chainer import testing
from chainer.testing import attr
class TestInceptionBNBase(unittest.TestCase):
in_channels = 3
out1, proj3, out3, proj33, out33, proj_pool = 3, 2, ... | 3,560 | 20.071006 | 67 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_local_convolution_2d.py | import unittest
import numpy
import chainer
from chainer import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
@testing.parameterize(*testing.product({
'x_dtype': [numpy.float16, numpy.float32, ... | 2,918 | 33.341176 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/connection_tests/test_deconvolution_2d.py | import numpy
import chainer
from chainer.backends import cuda
import chainer.functions as F
from chainer import links as L
from chainer import testing
from chainer.testing import parameterize
def _pair(x):
if hasattr(x, '__getitem__'):
return x
return x, x
@parameterize(
*testing.product({
... | 5,624 | 29.080214 | 76 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/rnn_tests/test_link_n_step_lstm.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
def sigmoid(x):
return numpy.tanh(x * 0.5) * 0.5 + 0.5
@testing.parameterize(*testing.product({
'hidden_no... | 16,320 | 34.023605 | 75 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/rnn_tests/test_link_gru.py | import unittest
import numpy
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
def _sigmoid(x):
xp = backend.get_array_module(x)
half = x.dtype.type(0.5)
r... | 8,066 | 32.197531 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/rnn_tests/test_link_lstm.py | import unittest
import numpy
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import functions
from chainer import links
from chainer import testing
from chainer.testing import attr
@testing.parameterize(*testing.product_dict(
[
{'in_size': 10, 'out_size': 10},
... | 11,811 | 32.942529 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/rnn_tests/test_link_peephole.py | import unittest
import numpy
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
def _sigmoid(x):
xp = backend.get_array_module(x)
half = x.dtype.type(0.5)
r... | 8,129 | 34.347826 | 77 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/rnn_tests/test_link_n_step_rnn.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer import initializers
from chainer.testing import attr
from chainer.testing import condition
def relu(x):
return x * (x > 0)
@testin... | 16,312 | 31.889113 | 77 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/rnn_tests/test_link_mgu.py | import unittest
import numpy
import six
import chainer
from chainer.backends import cuda
from chainer import links
from chainer import testing
from chainer.testing import attr
def sigmoid(x):
return 1 / (1 + numpy.exp(-x))
def mgu(W_f, W_h, h, x):
f = sigmoid(numpy.concatenate([h, x]).dot(W_f.T))
hx =... | 3,170 | 28.091743 | 72 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/rnn_tests/test_link_tree_lstm.py | import unittest
import numpy
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
def _sigmoid(x):
half = x.dtype.type(0.5)
... | 11,274 | 34.793651 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/rnn_tests/test_link_n_step_gru.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
def sigmoid(x):
return numpy.tanh(x * 0.5) * 0.5 + 0.5
@testing.parameterize(*testing.product({
'hidden_no... | 13,712 | 32.123188 | 75 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/model_tests/test_classifier.py | import unittest
import mock
import numpy
import six
import chainer
from chainer.backends import cuda
from chainer import functions
from chainer import links
from chainer import testing
from chainer.testing import attr
# testing.parameterize takes a list of dictionaries.
# Currently, we cannot set a function to the ... | 5,711 | 28.905759 | 75 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/model_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainer_tests/links_tests/model_tests/test_vision.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer.links.model.vision import googlenet
from chainer.links.model.vision import resnet
from chainer.links.model.vision import vgg
from chainer import testing
from chainer.testing import attr
from chainer.variable import Variable
@... | 15,765 | 33.726872 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/normalization_tests/test_batch_renormalization.py | import unittest
import numpy
import six
import chainer
from chainer.backends import cuda
from chainer import links
from chainer import testing
from chainer.testing import attr
def _batch_renormalization(expander, gamma, beta, x, mean, std, test,
r, d):
mean = mean[expander]
std = ... | 7,033 | 35.827225 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/normalization_tests/test_batch_normalization.py | import unittest
import numpy
import six
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import gradient_check
from chainer import initializers
from chainer import links
from chainer import memory_layouts
from chainer import testing
from chainer.testing import attr
from chaine... | 26,024 | 32.580645 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/normalization_tests/test_group_normalization.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import links
from chainer import testing
from chainer.testing import attr
@testing.inject_backend_tests(
None,
# CPU tests
[{}]
# GPU tests
+ testing.product({
'use_cuda': [True],
'use_cudn... | 7,679 | 33.439462 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/normalization_tests/test_decorrelated_batch_normalization.py | import contextlib
import os
import tempfile
import unittest
import numpy
import chainer
from chainer import links
from chainer import testing
def _decorrelated_batch_normalization(x, mean, projection, groups):
xs = numpy.split(x, groups, axis=1)
assert mean.shape[0] == groups
assert projection.shape[0] ... | 8,275 | 32.104 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/normalization_tests/test_layer_normalization.py | import unittest
import numpy
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
from chainer.utils import type_check
def _create_ln(*args, **kwargs):
flag... | 6,543 | 31.39604 | 79 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/normalization_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainer_tests/links_tests/theano_tests/test_theano_function.py | import unittest
import warnings
import numpy
import pytest
import chainer
from chainer.backends import cuda
from chainer import gradient_check
from chainer import links
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
@testing.with_requires('theano') # TODO(niboshi... | 6,133 | 33.852273 | 78 | py |
chainer | chainer-master/tests/chainer_tests/links_tests/theano_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainerx_tests/conftest.py | import pytest
import chainerx.testing
from chainerx_tests import cuda_utils
def pytest_configure(config):
_register_cuda_marker(config)
def pytest_runtest_setup(item):
_setup_cuda_marker(item)
def pytest_runtest_teardown(item, nextitem):
current_device = cuda_utils.get_current_device()
assert cu... | 4,412 | 26.240741 | 80 | py |
chainer | chainer-master/tests/chainerx_tests/test_array_utils.py | import numpy
import pytest
import chainerx
from chainerx_tests import array_utils
@pytest.mark.parametrize('expected,shape', [
(1, ()),
(1, (1,)),
(0, (0,)),
(0, (2, 0)),
(2, (2,)),
(6, (2, 3)),
])
def test_total_size(expected, shape):
assert expected == array_utils.total_size(shape)
@... | 5,096 | 29.704819 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/cuda_utils.py | import os
try:
import cupy
except Exception:
cupy = None
import chainerx
_cuda_limit = None
def get_cuda_limit():
global _cuda_limit
if _cuda_limit is not None:
return _cuda_limit
if os.getenv('CHAINERX_TEST_CUDA_DEVICE_LIMIT') is None:
try:
backend = chainerx.get_g... | 1,029 | 24.75 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/op_utils.py | import inspect
import sys
import unittest
import numpy
import pytest
import chainer
import chainer.testing
import chainerx
class OpTest(chainer.testing.function_link.FunctionTestBase):
"""Base class for op test.
It must be used in conjunction with `op_test` decorator.
Examples:
@op_utils.op_test... | 15,448 | 33.484375 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainerx_tests/array_utils.py | import functools
import operator
import numpy
import chainerx
def total_size(shape):
return functools.reduce(operator.mul, shape, 1)
def uniform(shape, dtype, low=None, high=None, *, random_state=numpy.random):
kind = numpy.dtype(dtype).kind
if kind == 'f':
return (random_state.uniform(
... | 3,914 | 29.348837 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/dtype_utils.py | import itertools
import numpy
import chainerx
def _permutate_dtype_mapping(dtype_mapping_list):
# Permutates in dtypes of dtype mapping.
d = {}
for in_dtypes, out_dtype in dtype_mapping_list:
for in_dtypes_ in itertools.permutations(in_dtypes):
d[in_dtypes_] = out_dtype
return so... | 5,772 | 30.205405 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/math_utils.py | import unittest
import numpy
import chainerx
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
class IgnoreNumpyFloatingPointError(object):
def __enter__(self):
self.old_settings = numpy.seterr(all='ignore')
def __exit__(self, *args):
numpy.seterr(**self.old_se... | 9,139 | 30.517241 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_cupy_interop.py | # These tests are integration tests with CuPy.
import numpy
import pytest
import sys
import chainerx
import chainerx.testing
try:
import cupy
except Exception:
cupy = None
_fromrawpointer = chainerx._core._fromrawpointer
@pytest.mark.cuda()
def test_cupy_to_chainerx_contiguous():
dtype = numpy.float3... | 8,419 | 25.149068 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_constants.py | import numpy
import chainerx
def test_constants():
assert chainerx.Inf is numpy.Inf
assert chainerx.Infinity is numpy.Infinity
assert chainerx.NAN is numpy.NAN
assert chainerx.NINF is numpy.NINF
assert chainerx.NZERO is numpy.NZERO
assert chainerx.NaN is numpy.NaN
assert chainerx.PINF is ... | 653 | 28.727273 | 52 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_device.py | import copy
import pickle
import pytest
import chainerx
_devices_data = [
{'index': 0},
{'index': 1},
]
@pytest.fixture(params=_devices_data)
def device_data1(request):
return request.param
@pytest.fixture(params=_devices_data)
def device_data2(request):
return request.param
@pytest.fixture
de... | 4,278 | 26.785714 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_array_index.py | import pytest
import chainerx
def test_newaxis():
assert chainerx.newaxis is None
@pytest.mark.parametrize('xp', [chainerx])
@pytest.mark.parametrize_device(['native:0', 'cuda:0'])
@pytest.mark.parametrize('shape, transpose', [
((1,), None),
((2,), None),
((2, 3), None),
((2, 3, 4), None),
(... | 1,955 | 28.19403 | 69 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_backend.py | import pytest
import chainerx
def test_name_native():
backend = chainerx.get_global_default_context().get_backend('native')
assert 'native' == backend.name
def test_get_device_native():
backend = chainerx.get_global_default_context().get_backend('native')
device = backend.get_device(0)
assert 0... | 1,149 | 25.744186 | 73 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_dtype.py | import numpy
import chainerx
def test_py_types():
assert chainerx.bool is bool
assert chainerx.int is int
assert chainerx.float is float
def test_dtypes():
assert chainerx.dtype is numpy.dtype
assert chainerx.bool_ is numpy.bool_
assert chainerx.int8 is numpy.int8
assert chainerx.int16 ... | 593 | 24.826087 | 44 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_core_module.py | import chainerx
def test_core():
assert chainerx.__name__ == 'chainerx'
def test_is_available():
assert chainerx.is_available()
| 140 | 13.1 | 42 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_context.py | import pytest
import chainerx
@pytest.fixture
def cache_restore_context(request):
device = chainerx.get_default_device()
context = chainerx.get_default_context()
global_context = chainerx.get_global_default_context()
def restore_context():
chainerx.set_global_default_context(global_context)
... | 3,609 | 29.336134 | 69 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_check_backward.py | import pytest
import chainerx
def _check_backward_unary(fprop):
x = chainerx.array([1, 2, 1], chainerx.float32)
x.require_grad()
chainerx.check_backward(
fprop,
(x,),
(chainerx.array([0, -2, 1], chainerx.float32),),
(chainerx.full((3,), 1e-3, chainerx.float32),),
)
... | 2,616 | 30.154762 | 77 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_array.py | import copy
import math
import pickle
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
def _check_array(
array, expected_dtype, expected_shape, expected_data_list=None,
device=None):
expected_dtype = chainerx.dtype(expected_dtype)
as... | 25,885 | 33.560748 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_backprop_mode.py | import pytest
import chainerx
def test_no_backprop_mode():
with chainerx.backprop_scope('bp1') as bp1, \
chainerx.backprop_scope('bp2') as bp2:
assert chainerx.is_backprop_required()
assert chainerx.is_backprop_required(bp1)
assert chainerx.is_backprop_required(bp2)
w... | 4,743 | 42.522936 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_graph.py | import chainerx
def test_anygraph():
assert hasattr(chainerx, 'anygraph')
| 80 | 12.5 | 40 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/test_backward.py | import chainerx
import pytest
def _assert_arrays_equal(array1, array2):
if array1 is None:
assert array1 == array2
else:
assert array1.dtype == array2.dtype
assert array1.shape == array2.shape
assert array1._debug_flat_data == array2._debug_flat_data
def _check_backward(fpro... | 18,821 | 27.561457 | 77 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/testing_tests/test_device_buffer.py | import pytest
import chainerx
@pytest.mark.parametrize_device(['native:0', 'cuda:0'])
# TODO(niboshi): This test causes segv with CUDA device in certain situations.
# Fix it and remove skip.
@pytest.mark.skip()
def test_device_buffer(device):
buf = chainerx.testing._DeviceBuffer(
[1, 2, 3, 4, 5, 6], (2, ... | 650 | 27.304348 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/testing_tests/test_helper.py | import numpy
import pytest
import chainerx
import chainerx.testing
class FooError(Exception):
pass
class BarError(Exception):
pass
@chainerx.testing.numpy_chainerx_array_equal()
@pytest.mark.parametrize('np_result, chx_result', [
(1.0, 1.0),
(numpy.full((1,), 1.0, numpy.float32),
chainerx.fu... | 13,084 | 27.569869 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/testing_tests/test_array.py | import numpy
import pytest
import chainerx
import chainerx.testing
def _make_onehot_arrays(shape, dtype, value1, value2):
a = numpy.zeros(shape, dtype)
b = numpy.zeros(shape, dtype)
indices = list(numpy.ndindex(*shape))
a[indices[len(indices) // 2]] = value1
b[indices[len(indices) // 2]] = value2... | 8,908 | 31.753676 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/testing_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainerx_tests/unit_tests/testing_tests/test_dtypes.py | import numpy
import chainerx
import chainerx.testing
def test_dtype_lists():
# Each dtype list must be a subset of all_dtypes.
dtype_lists = [
chainerx.testing.all_dtypes,
chainerx.testing.float_dtypes,
chainerx.testing.signed_dtypes,
chainerx.testing.unsigned_dtypes,
... | 1,879 | 32.571429 | 73 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_activation.py | import random
import chainer
import numpy
import chainerx
from chainer import utils
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
n_step_lstm_dtypes_valid = dtype_utils._permutate_dtype_mapping([
# Floats.
(('float16', ), ()),
(('float32'... | 12,767 | 31 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_logic.py | import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
_expected_numeric_dtypes_comparison = [
(t1, t2) for (t1, t2), _ in dtype_utils.result_numeric_dtypes_two_arrays
]
... | 12,458 | 28.315294 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_normalization.py | import unittest
import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import op_utils
def _create_batch_norm_ndarray_args(
xp, device, x_shape, gamma_shape, beta_shape, mean_shape, var_shape,
float_dtype):
x ... | 11,574 | 36.95082 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_statistics.py | import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import math_utils
from chainerx_tests import op_utils
def test_max_amax():
assert chainerx.amax is chainerx.max
_minmax_params = [... | 9,759 | 30.895425 | 77 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_evaluation.py | import chainer
from chainer import functions as F
import numpy
import pytest
import chainerx
from chainerx_tests import array_utils
from chainerx_tests import op_utils
_in_out_eval_dtypes = [
(('float16', 'int16')),
(('float32', 'int32')),
(('float64', 'int64')),
(('float32', 'int16')),
(('float... | 3,915 | 28.89313 | 75 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_loss.py | import numpy
import chainer
from chainer import functions as F
import chainerx
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
_loss_shapes = [
(2, 2),
(3, 3, 3),
(5, 5, 5),
(4, 1, 2, 4),
]
_in_out_loss_dtypes = dtype_utils._permutate_dtype_mapping([
(('float16', 'fl... | 7,767 | 29.825397 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_rounding.py | import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import dtype_utils
from chainerx_tests import math_utils
@chainerx.testing.numpy_chainerx_array_equal()
@pytest.mark.parametrize_device(['native:0', 'cuda:0'])
@pytest.mark.parametrize('input', [
numpy.asarray(0.5),
numpy... | 1,007 | 26.243243 | 75 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_reduction.py | import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import math_utils
from chainerx_tests import op_utils
_logsumexp_params = [
((2,), 0),
((2,), -1),
((2, 3), None),
((2, 3), 0),
((2, 3), 1),
((2, 3), -... | 10,196 | 29.348214 | 76 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_arithmetic.py | import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import math_utils
from chainerx_tests import op_utils
def test_mod_remainder():
assert chainerx.remainder is chainerx.mod
_in_out_... | 58,814 | 32.398637 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_manipulation.py | import itertools
import unittest
import warnings
import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
def powerset(iterable):
"powerset([1,2,3]) --> () (1,) (2,) (3,) (... | 49,344 | 28.887947 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_misc.py | import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import math_utils
from chainerx_tests import op_utils
@op_utils.op_test(['native:0', 'cuda:0'])
@chainer.testing.parameterize(*(
# S... | 12,857 | 32.310881 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_rnn.py | import chainer
import chainerx
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
n_step_lstm_dtypes_valid = dtype_utils._permutate_dtype_mapping([
# Floats.
(('float16', ), ()),
(('float32', ), ()),
(('float64', ), ()),
])
@op_utils.op... | 22,430 | 33.037936 | 75 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_explog.py | import chainer
import chainerx
import numpy
from chainerx_tests import math_utils
from chainerx_tests import op_utils
@op_utils.op_test(['native:0', 'cuda:0'])
@chainer.testing.parameterize(*(
chainer.testing.product([
chainer.testing.from_pytest_parameterize(
'shape', [
(2, 2... | 8,303 | 30.574144 | 77 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_indexing.py | import unittest
import numpy
import pytest
import chainer.testing
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import math_utils
from chainerx_tests import op_utils
@op_utils.op_test(['native:0', 'cuda:0'])
@chainer.testin... | 14,971 | 31.406926 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_binary.py | import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import math_utils
from chainerx_tests import op_utils
_in_out_dtypes_bitwise = dtype_utils._permutate_dtype_mapping([
# Same dtypes
... | 21,101 | 29.36259 | 77 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_linalg.py | import numpy
import pytest
import chainer
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
def _skip_if_native_and_lapack_unavailable(device):
if (device.backend.name == 'native'
and not chainerx... | 21,161 | 31.758514 | 78 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/__init__.py | 0 | 0 | 0 | py | |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_connection.py | import unittest
import chainer
from chainer import functions as F
import numpy
import pytest
import chainerx
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
# A special parameter object used to represent an unspecified argument.
class Unspecified(ob... | 24,647 | 35.407681 | 79 | py |
chainer | chainer-master/tests/chainerx_tests/unit_tests/routines_tests/test_creation.py | import io
import sys
import tempfile
import chainer
import numpy
import pytest
import chainerx
import chainerx.testing
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
_array_params_list = [
-2,
1,
-1.5,
2.3,
True,
False,
... | 46,107 | 33.408955 | 79 | py |
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