FM / operator

/usr/local/lib64/python3.6/site-packages/caffe2/python/operator_test/

/usr/local/lib64/python3.6/site-packages/caffe2/python/operator_test

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
activation_ops_test.py	9691	0644	edit dl rm
adadelta_test.py	7932	0644	edit dl rm
adagrad_test.py	7586	0644	edit dl rm
adagrad_test_helper.py	5181	0644	edit dl rm
adam_test.py	21559	0644	edit dl rm
affine_channel_op_test.py	3784	0644	edit dl rm
alias_with_name_test.py	938	0644	edit dl rm
apmeter_test.py	2738	0644	edit dl rm
arg_ops_test.py	1917	0644	edit dl rm
assert_test.py	797	0644	edit dl rm
async_net_barrier_test.py	946	0644	edit dl rm
atomic_ops_test.py	4104	0644	edit dl rm
basic_rnn_test.py	4720	0644	edit dl rm
batch_box_cox_test.py	5080	0644	edit dl rm
batch_bucketize_op_test.py	3730	0644	edit dl rm
batch_moments_op_test.py	2795	0644	edit dl rm
batch_sparse_to_dense_op_test.py	4199	0644	edit dl rm
bbox_transform_test.py	12258	0644	edit dl rm
bisect_percentile_op_test.py	6227	0644	edit dl rm
blobs_queue_db_test.py	3240	0644	edit dl rm
boolean_mask_test.py	16389	0644	edit dl rm
boolean_unmask_test.py	1711	0644	edit dl rm
box_with_nms_limit_op_test.py	8750	0644	edit dl rm
bucketize_op_test.py	930	0644	edit dl rm
cast_op_test.py	1600	0644	edit dl rm
ceil_op_test.py	888	0644	edit dl rm
channel_backprop_stats_op_test.py	2131	0644	edit dl rm
channel_shuffle_test.py	1794	0644	edit dl rm
channel_stats_op_test.py	2639	0644	edit dl rm
checkpoint_test.py	1500	0644	edit dl rm
clip_op_test.py	1984	0644	edit dl rm
clip_tensor_op_test.py	2076	0644	edit dl rm
collect_and_distribute_fpn_rpn_proposals_op_test.py	11269	0644	edit dl rm
concat_op_cost_test.py	2858	0644	edit dl rm
concat_split_op_test.py	7266	0644	edit dl rm
conditional_test.py	995	0644	edit dl rm
conftest.py	1446	0644	edit dl rm
conv_test.py	32473	0644	edit dl rm
conv_transpose_test.py	15945	0644	edit dl rm
copy_ops_test.py	7374	0644	edit dl rm
copy_rows_to_tensor_op_test.py	2526	0644	edit dl rm
cosine_embedding_criterion_op_test.py	1953	0644	edit dl rm
counter_ops_test.py	3348	0644	edit dl rm
crf_test.py	5315	0644	edit dl rm
cross_entropy_ops_test.py	10085	0644	edit dl rm
ctc_beam_search_decoder_op_test.py	5197	0644	edit dl rm
ctc_greedy_decoder_op_test.py	4743	0644	edit dl rm
cudnn_recurrent_test.py	5817	0644	edit dl rm
dataset_ops_test.py	23847	0644	edit dl rm
data_couple_op_test.py	858	0644	edit dl rm
decay_adagrad_test.py	2694	0644	edit dl rm
deform_conv_test.py	19276	0644	edit dl rm
dense_vector_to_id_list_op_test.py	2044	0644	edit dl rm
depthwise_3x3_conv_test.py	1863	0644	edit dl rm
detectron_keypoints.py	7973	0644	edit dl rm
distance_op_test.py	4351	0644	edit dl rm
dropout_op_test.py	2971	0644	edit dl rm
duplicate_operands_test.py	734	0644	edit dl rm
elementwise_linear_op_test.py	1382	0644	edit dl rm
elementwise_logical_ops_test.py	4617	0644	edit dl rm
elementwise_ops_test.py	33354	0644	edit dl rm
elementwise_op_broadcast_test.py	17466	0644	edit dl rm
emptysample_ops_test.py	1977	0644	edit dl rm
enforce_finite_op_test.py	1286	0644	edit dl rm
ensure_clipped_test.py	1505	0644	edit dl rm
ensure_cpu_output_op_test.py	1244	0644	edit dl rm
erf_op_test.py	749	0644	edit dl rm
expand_op_test.py	2109	0644	edit dl rm
fc_operator_test.py	3720	0644	edit dl rm
feature_maps_ops_test.py	21492	0644	edit dl rm
filler_ops_test.py	8476	0644	edit dl rm
find_op_test.py	1316	0644	edit dl rm
flatten_op_test.py	922	0644	edit dl rm
flexible_top_k_test.py	2609	0644	edit dl rm
floor_op_test.py	894	0644	edit dl rm
fused_nbit_rowwise_conversion_ops_test.py	14077	0644	edit dl rm
fused_nbit_rowwise_test_helper.py	2693	0644	edit dl rm
gather_ops_test.py	9216	0644	edit dl rm
gather_ranges_op_test.py	9125	0644	edit dl rm
given_tensor_byte_string_to_uint8_fill_op_test.py	1392	0644	edit dl rm
given_tensor_fill_op_test.py	1503	0644	edit dl rm
glu_op_test.py	1212	0644	edit dl rm
group_conv_test.py	2870	0644	edit dl rm
group_norm_op_test.py	5252	0644	edit dl rm
gru_test.py	12932	0644	edit dl rm
heatmap_max_keypoint_op_test.py	4770	0644	edit dl rm
histogram_test.py	3097	0644	edit dl rm
hsm_test.py	9456	0644	edit dl rm
hyperbolic_ops_test.py	1472	0644	edit dl rm
im2col_col2im_test.py	4311	0644	edit dl rm
image_input_op_test.py	17345	0644	edit dl rm
index_hash_ops_test.py	2885	0644	edit dl rm
index_ops_test.py	4597	0644	edit dl rm
instance_norm_test.py	9917	0644	edit dl rm
integral_image_ops_test.py	3419	0644	edit dl rm
jsd_ops_test.py	1044	0644	edit dl rm
key_split_ops_test.py	1289	0644	edit dl rm
lars_test.py	1354	0644	edit dl rm
layer_norm_op_test.py	14983	0644	edit dl rm
leaky_relu_test.py	5639	0644	edit dl rm
learning_rate_adaption_op_test.py	2837	0644	edit dl rm
learning_rate_op_test.py	8652	0644	edit dl rm
lengths_pad_op_test.py	1625	0644	edit dl rm
lengths_reducer_fused_nbit_rowwise_ops_test.py	15495	0644	edit dl rm
lengths_tile_op_test.py	1332	0644	edit dl rm
lengths_top_k_ops_test.py	2371	0644	edit dl rm
length_split_op_test.py	4868	0644	edit dl rm
listwise_l2r_operator_test.py	8740	0644	edit dl rm
load_save_test.py	33241	0644	edit dl rm
locally_connected_op_test.py	7761	0644	edit dl rm
loss_ops_test.py	902	0644	edit dl rm
lpnorm_op_test.py	2725	0644	edit dl rm
map_ops_test.py	2249	0644	edit dl rm
margin_ranking_criterion_op_test.py	1816	0644	edit dl rm
math_ops_test.py	1603	0644	edit dl rm
matmul_op_test.py	10096	0644	edit dl rm
mean_op_test.py	1469	0644	edit dl rm
merge_id_lists_op_test.py	2989	0644	edit dl rm
mkl_conv_op_test.py	1547	0644	edit dl rm
mkl_packed_fc_op_test.py	2647	0644	edit dl rm
mod_op_test.py	1459	0644	edit dl rm
moments_op_test.py	1722	0644	edit dl rm
momentum_sgd_test.py	6480	0644	edit dl rm
mpi_test.py	8154	0644	edit dl rm
mul_gradient_benchmark.py	1509	0644	edit dl rm
negate_gradient_op_test.py	1518	0644	edit dl rm
ngram_ops_test.py	2327	0644	edit dl rm
normalize_op_test.py	1679	0644	edit dl rm
numpy_tile_op_test.py	1924	0644	edit dl rm
one_hot_ops_test.py	7478	0644	edit dl rm
onnx_while_test.py	3070	0644	edit dl rm
order_switch_test.py	1306	0644	edit dl rm
pack_ops_test.py	12634	0644	edit dl rm
pack_rnn_sequence_op_test.py	2891	0644	edit dl rm
pad_test.py	1377	0644	edit dl rm
partition_ops_test.py	6838	0644	edit dl rm
percentile_op_test.py	4427	0644	edit dl rm
piecewise_linear_transform_test.py	6187	0644	edit dl rm
pooling_test.py	16508	0644	edit dl rm
prepend_dim_test.py	1505	0644	edit dl rm
python_op_test.py	1312	0644	edit dl rm
quantile_test.py	3276	0644	edit dl rm
rand_quantization_op_speed_test.py	3128	0644	edit dl rm
rank_loss_operator_test.py	5752	0644	edit dl rm
rebatching_queue_test.py	9047	0644	edit dl rm
record_queue_test.py	3125	0644	edit dl rm
recurrent_network_test.py	14048	0644	edit dl rm
recurrent_net_executor_test.py	10922	0644	edit dl rm
reduce_ops_test.py	17341	0644	edit dl rm
reduction_ops_test.py	4664	0644	edit dl rm
reshape_ops_test.py	8211	0644	edit dl rm
resize_op_test.py	9417	0644	edit dl rm
rmac_regions_op_test.py	3178	0644	edit dl rm
rms_norm_op_test.py	1325	0644	edit dl rm
rnn_cell_test.py	59707	0644	edit dl rm
roi_align_rotated_op_test.py	7567	0644	edit dl rm
rowwise_counter_test.py	2205	0644	edit dl rm
scale_op_test.py	2177	0644	edit dl rm
segment_ops_test.py	25745	0644	edit dl rm
self_binning_histogram_test.py	12915	0644	edit dl rm
selu_op_test.py	3232	0644	edit dl rm
sequence_ops_test.py	16000	0644	edit dl rm
shape_inference_test.py	25708	0644	edit dl rm
sinusoid_position_encoding_op_test.py	2308	0644	edit dl rm
softmax_ops_test.py	23685	0644	edit dl rm
softplus_op_test.py	516	0644	edit dl rm
sparse_dropout_with_replacement_op_test.py	2885	0644	edit dl rm
sparse_gradient_checker_test.py	1294	0644	edit dl rm
sparse_itemwise_dropout_with_replacement_op_test.py	2913	0644	edit dl rm
sparse_lengths_sum_benchmark.py	4159	0644	edit dl rm
sparse_lp_regularizer_test.py	2553	0644	edit dl rm
sparse_normalize_test.py	3136	0644	edit dl rm
sparse_ops_test.py	3469	0644	edit dl rm
sparse_to_dense_mask_op_test.py	3693	0644	edit dl rm
spatial_bn_op_test.py	20182	0644	edit dl rm
specialized_segment_ops_test.py	11775	0644	edit dl rm
split_op_cost_test.py	8645	0644	edit dl rm
square_root_divide_op_test.py	2179	0644	edit dl rm
stats_ops_test.py	1789	0644	edit dl rm
stats_put_ops_test.py	6596	0644	edit dl rm
storm_test.py	6507	0644	edit dl rm
string_ops_test.py	4154	0644	edit dl rm
text_file_reader_test.py	2517	0644	edit dl rm
thresholded_relu_op_test.py	2323	0644	edit dl rm
tile_op_test.py	3887	0644	edit dl rm
top_k_test.py	9113	0644	edit dl rm
torch_integration_test.py	39941	0644	edit dl rm
transpose_op_test.py	2722	0644	edit dl rm
trigonometric_op_test.py	1715	0644	edit dl rm
unique_ops_test.py	2255	0644	edit dl rm
unique_uniform_fill_op_test.py	1335	0644	edit dl rm
unsafe_coalesce_test.py	2940	0644	edit dl rm
upsample_op_test.py	7308	0644	edit dl rm
utility_ops_test.py	15054	0644	edit dl rm
video_input_op_test.py	10503	0644	edit dl rm
weighted_multi_sample_test.py	1997	0644	edit dl rm
weighted_sample_test.py	2739	0644	edit dl rm
weighted_sum_test.py	3052	0644	edit dl rm
weight_scale_test.py	2057	0644	edit dl rm
wngrad_test.py	8279	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/operator_test/filler_ops_test.py (8476B)

from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial

from hypothesis import given, settings
import hypothesis.strategies as st
import numpy as np

def _fill_diagonal(shape, value):
    result = np.zeros(shape)
    np.fill_diagonal(result, value)
    return (result,)

class TestFillerOperator(serial.SerializedTestCase):

@given(**hu.gcs)
    @settings(deadline=10000)
    def test_shape_error(self, gc, dc):
        op = core.CreateOperator(
            'GaussianFill',
            [],
            'out',
            shape=32,  # illegal parameter
            mean=0.0,
            std=1.0,
        )
        exception = False
        try:
            workspace.RunOperatorOnce(op)
        except Exception:
            exception = True
        self.assertTrue(exception, "Did not throw exception on illegal shape")

op = core.CreateOperator(
            'ConstantFill',
            [],
            'out',
            shape=[],  # scalar
            value=2.0,
        )
        exception = False
        self.assertTrue(workspace.RunOperatorOnce(op))
        self.assertEqual(workspace.FetchBlob('out'), [2.0])

@given(**hu.gcs)
    @settings(deadline=10000)
    def test_int64_shape(self, gc, dc):
        large_dim = 2 ** 31 + 1
        net = core.Net("test_shape_net")
        net.UniformFill(
            [],
            'out',
            shape=[0, large_dim],
            min=0.0,
            max=1.0,
        )
        self.assertTrue(workspace.CreateNet(net))
        self.assertTrue(workspace.RunNet(net.Name()))
        self.assertEqual(workspace.blobs['out'].shape, (0, large_dim))

@given(
        shape=hu.dims().flatmap(
            lambda dims: hu.arrays(
                [dims], dtype=np.int64,
                elements=st.integers(min_value=0, max_value=20)
            )
        ),
        a=st.integers(min_value=0, max_value=100),
        b=st.integers(min_value=0, max_value=100),
        **hu.gcs
    )
    @settings(deadline=10000)
    def test_uniform_int_fill_op_blob_input(self, shape, a, b, gc, dc):
        net = core.Net('test_net')

with core.DeviceScope(core.DeviceOption(caffe2_pb2.CPU)):
            shape_blob = net.Const(shape, dtype=np.int64)
        a_blob = net.Const(a, dtype=np.int32)
        b_blob = net.Const(b, dtype=np.int32)
        uniform_fill = net.UniformIntFill([shape_blob, a_blob, b_blob],
                                          1, input_as_shape=1)

workspace.RunNetOnce(net)

blob_out = workspace.FetchBlob(uniform_fill)
        if b < a:
            new_shape = shape[:]
            new_shape[0] = 0
            np.testing.assert_array_equal(new_shape, blob_out.shape)
        else:
            np.testing.assert_array_equal(shape, blob_out.shape)
            self.assertTrue((blob_out >= a).all())
            self.assertTrue((blob_out <= b).all())

@given(
        **hu.gcs
    )
    def test_uniform_fill_using_arg(self, gc, dc):
        net = core.Net('test_net')
        shape = [2**3, 5]
        # uncomment this to test filling large blob
        # shape = [2**30, 5]
        min_v = -100
        max_v = 100
        output_blob = net.UniformIntFill(
            [],
            ['output_blob'],
            shape=shape,
            min=min_v,
            max=max_v,
        )

workspace.RunNetOnce(net)
        output_data = workspace.FetchBlob(output_blob)

np.testing.assert_array_equal(shape, output_data.shape)
        min_data = np.min(output_data)
        max_data = np.max(output_data)

self.assertGreaterEqual(min_data, min_v)
        self.assertLessEqual(max_data, max_v)

self.assertNotEqual(min_data, max_data)

@serial.given(
        shape=st.sampled_from(
            [
                [3, 3],
                [5, 5, 5],
                [7, 7, 7, 7],
            ]
        ),
        **hu.gcs
    )
    def test_diagonal_fill_op_float(self, shape, gc, dc):
        value = 2.5
        op = core.CreateOperator(
            'DiagonalFill',
            [],
            'out',
            shape=shape,  # scalar
            value=value,
        )

for device_option in dc:
            op.device_option.CopyFrom(device_option)
            # Check against numpy reference
            self.assertReferenceChecks(gc, op, [shape, value], _fill_diagonal)

@given(**hu.gcs)
    def test_diagonal_fill_op_int(self, gc, dc):
        value = 2
        shape = [3, 3]
        op = core.CreateOperator(
            'DiagonalFill',
            [],
            'out',
            shape=shape,
            dtype=core.DataType.INT32,
            value=value,
        )

# Check against numpy reference
        self.assertReferenceChecks(gc, op, [shape, value], _fill_diagonal)

@serial.given(lengths=st.lists(st.integers(min_value=0, max_value=10),
                                   min_size=0,
                                   max_size=10),
           **hu.gcs)
    def test_lengths_range_fill(self, lengths, gc, dc):
        op = core.CreateOperator(
            "LengthsRangeFill",
            ["lengths"],
            ["increasing_seq"])

def _len_range_fill(lengths):
            sids = []
            for _, l in enumerate(lengths):
                sids.extend(list(range(l)))
            return (np.array(sids, dtype=np.int32), )

self.assertReferenceChecks(
            device_option=gc,
            op=op,
            inputs=[np.array(lengths, dtype=np.int32)],
            reference=_len_range_fill)

@given(**hu.gcs)
    def test_gaussian_fill_op(self, gc, dc):
        op = core.CreateOperator(
            'GaussianFill',
            [],
            'out',
            shape=[17, 3, 3],  # sample odd dimensions
            mean=0.0,
            std=1.0,
        )

for device_option in dc:
            op.device_option.CopyFrom(device_option)
            assert workspace.RunOperatorOnce(op), "GaussianFill op did not run "
            "successfully"

blob_out = workspace.FetchBlob('out')
            assert np.count_nonzero(blob_out) > 0, "All generated elements are "
            "zeros. Is the random generator functioning correctly?"

@given(**hu.gcs)
    def test_msra_fill_op(self, gc, dc):
        op = core.CreateOperator(
            'MSRAFill',
            [],
            'out',
            shape=[15, 5, 3],  # sample odd dimensions
        )
        for device_option in dc:
            op.device_option.CopyFrom(device_option)
            assert workspace.RunOperatorOnce(op), "MSRAFill op did not run "
            "successfully"

blob_out = workspace.FetchBlob('out')
            assert np.count_nonzero(blob_out) > 0, "All generated elements are "
            "zeros. Is the random generator functioning correctly?"

@given(
        min=st.integers(min_value=0, max_value=5),
        range=st.integers(min_value=1, max_value=10),
        emb_size=st.sampled_from((10000, 20000, 30000)),
        dim_size=st.sampled_from((16, 32, 64)),
        **hu.gcs)
    @settings(deadline=None)
    def test_fp16_uniformfill_op(self, min, range, emb_size, dim_size, gc, dc):
        op = core.CreateOperator(
            'Float16UniformFill',
            [],
            'out',
            shape=[emb_size, dim_size],
            min=float(min),
            max=float(min + range),
        )
        for device_option in dc:
            op.device_option.CopyFrom(device_option)
            assert workspace.RunOperatorOnce(op), "Float16UniformFill op did not run successfully"

self.assertEqual(workspace.blobs['out'].shape, (emb_size, dim_size))

blob_out = workspace.FetchBlob('out')

expected_type = "float16"
            expected_mean = min + range / 2.0
            expected_var = range * range / 12.0
            expected_min = min
            expected_max = min + range

self.assertEqual(blob_out.dtype.name, expected_type)
            self.assertAlmostEqual(np.mean(blob_out, dtype=np.float32), expected_mean, delta=0.1)
            self.assertAlmostEqual(np.var(blob_out, dtype=np.float32), expected_var, delta=0.1)
            self.assertGreaterEqual(np.min(blob_out), expected_min)
            self.assertLessEqual(np.max(blob_out), expected_max)

if __name__ == "__main__":
    import unittest
    unittest.main()

cmd: