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/partition_ops_test.py (6838B)

import numpy as np
from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase, rand_array

class TestPartitionOps(TestCase):

def test_configs(self):
        # (main dims, partitions,  main type, [list of (extra dims, type)])
        configs = [
            ((10, ), 3),
            ((4, ), 10),
            ((10, 10), 4),
            ((100, ), 2),
            ((5, ), 1),
            ((1, ), 1),
            ((2, 10), 2),
        ]
        suffixes = [
            [],
            [((2, 2), np.float32)],
            [((3, ), np.int64), ((2, ), np.float32)],
        ]
        return [
            (main_dims, parts, main_type, extra, pack)
            for main_dims, parts in configs
            for main_type in [np.int32, np.int64] for extra in suffixes
            for pack in [False, True]
        ]

def testPartition(self):
        for main_dims, parts, main_type, extra_ins, pack in self.test_configs():
            ins = ['in' + str(i) for i in range(1 + len(extra_ins))]
            outs = [
                'in{}_p{}'.format(j, i)
                for i in range(parts) for j in range(1 + len(extra_ins))
            ]
            op = core.CreateOperator(
                'Partition', ins, outs, pack_first_input=(1 if pack else 0))
            x = []
            for i, (dims, t) in enumerate([((), main_type)] + extra_ins):
                if t in [np.float32, np.float64]:
                    d = rand_array(*(main_dims + dims))
                else:
                    d = np.random.randint(-100, 100, (main_dims + dims))
                d = d.astype(t)
                workspace.FeedBlob(ins[i], d)
                x.append(d)

def sharding(x):
                # numpy has proper modulo op that yields non-negative results
                shards = (x[0] % parts).reshape([-1])
                out = []
                for i in range(parts):
                    for ind, v in enumerate(x):
                        suffix_shape = v.shape[len(x[0].shape):]
                        accum = []
                        data = v.reshape((-1, ) + suffix_shape)

if pack and ind == 0:
                            data = data // parts

for j, s in enumerate(shards):
                            if s == i:
                                accum.append(data[j])

def join(a):
                            if not a:
                                return np.empty(shape=(0, ) + suffix_shape)
                            return np.stack(a)

out.append(join(accum))
                return out

workspace.RunOperatorOnce(op)
            ref = sharding(x)
            print(x)
            print(ref)
            for name, expected in zip(outs, ref):
                np.testing.assert_array_equal(
                    expected, workspace.FetchBlob(name)
                )

# test inverse operation (GatherByKey)
            if len(main_dims) == 1:
                # currently only 1D key tensor supported
                for i in range(len(extra_ins)):
                    expected_out = ins[i + 1]
                    gather_ins = [ins[0]] + [
                        outs[len(ins) * p + i + 1] for p in range(parts)]
                    actual_out = expected_out + '_actual'
                    op = core.CreateOperator(
                        'GatherByKey', gather_ins, actual_out)
                    workspace.RunOperatorOnce(op)
                    expected = workspace.FetchBlob(expected_out)
                    actual = workspace.FetchBlob(actual_out)
                    np.testing.assert_array_equal(expected, actual)

def testLengthsPartition(self):
        for main_dims, parts, main_type, extra_ins, pack in self.test_configs():
            # For LengthsSharding only 1-D tensors supported as a first input
            if len(main_dims) > 1:
                continue
            ins = ['in' + str(i) for i in range(2 + len(extra_ins))]
            outs = [
                'in{}_p{}'.format(j, i)
                for i in range(parts) for j in range(2 + len(extra_ins))
            ]
            op = core.CreateOperator(
                'LengthsPartition', ins, outs,
                pack_first_input=(1 if pack else 0)
            )
            x = []
            for i, (dims, t) in enumerate([((), main_type)] + extra_ins):
                if t in [np.float32, np.float64]:
                    d = rand_array(*(main_dims + dims))
                else:
                    d = np.random.randint(-100, 100, (main_dims + dims))
                d = d.astype(t)
                workspace.FeedBlob(ins[i + 1], d)
                x.append(d)

# Randomly generate length tensor as well
            elements = np.random.randint(2, 10)
            lengths = []
            total_length = 0
            for _ in range(elements - 1):
                lengths.append(np.random.randint(main_dims[0] - total_length))
                total_length += lengths[-1]
            lengths.append(main_dims[0] - total_length)
            workspace.FeedBlob(ins[0], np.array(lengths, dtype=np.int32))

def sharding(x):
                # numpy has proper modulo op that yields non-negative results
                shards = (x[0] % parts).reshape([-1])
                out = []
                for i in range(parts):
                    idx = 0
                    sharded_lengths = np.zeros(elements)
                    for ind, length in enumerate(lengths):
                        for _ in range(length):
                            if shards[idx] == i:
                                sharded_lengths[ind] += 1
                            idx += 1
                    out.append(sharded_lengths)

for ind, v in enumerate(x):
                        suffix_shape = v.shape[len(x[0].shape):]
                        accum = []
                        data = v.reshape((-1, ) + suffix_shape)

if pack and ind == 0:
                            data = data // parts

for j, s in enumerate(shards):
                            if s == i:
                                accum.append(data[j])

def join(a):
                            if not a:
                                return np.empty(shape=(0, ) + suffix_shape)
                            return np.stack(a)

out.append(join(accum))
                return out

workspace.RunOperatorOnce(op)
            ref = sharding(x)
            for name, expected in zip(outs, ref):
                np.testing.assert_array_equal(
                    expected, workspace.FetchBlob(name)
                )

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

cmd: