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/bisect_percentile_op_test.py (6227B)

import hypothesis.strategies as st

from caffe2.python import core, workspace
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu

import bisect
import numpy as np

class TestBisectPercentileOp(hu.HypothesisTestCase):
    def compare_reference(
            self,
            raw_data,
            pct_raw_data,
            pct_mapping,
            pct_upper,
            pct_lower,
            lengths,
    ):
        def bisect_percentile_op_ref(
            raw_data,
            pct_raw_data,
            pct_mapping,
            pct_lower,
            pct_upper,
            lengths
        ):
            results = np.zeros_like(raw_data)
            indices = [0]
            for j in range(len(lengths)):
                indices.append(indices[j] + lengths[j])
            for i in range(len(raw_data)):
                for j in range(len(raw_data[0])):
                    start = indices[j]
                    end = indices[j + 1]
                    val = raw_data[i][j]
                    pct_raw_data_i = pct_raw_data[start:end]
                    pct_lower_i = pct_lower[start:end]
                    pct_upper_i = pct_upper[start:end]
                    pct_mapping_i = pct_mapping[start:end]

# Corner cases
                    if val < pct_raw_data_i[0]:
                        results[i][j] = 0
                        continue
                    if val > pct_raw_data_i[-1]:
                        results[i][j] = 1.
                        continue

# interpolation
                    k = bisect.bisect_left(pct_raw_data_i, val)
                    if pct_raw_data_i[k] == val:
                        results[i][j] = pct_mapping_i[k]
                    else:
                        k = k - 1
                        slope = ((pct_lower_i[k + 1] - pct_upper_i[k])
                            / (pct_raw_data_i[k + 1] - pct_raw_data_i[k]))
                        results[i][j] = pct_upper_i[k] + \
                            slope * (val - pct_raw_data_i[k])

return results

workspace.ResetWorkspace()
        workspace.FeedBlob("raw_data", raw_data)

op = core.CreateOperator(
            "BisectPercentile",
            ["raw_data"],
            ["pct_output"],
            percentile_raw=pct_raw_data,
            percentile_mapping=pct_mapping,
            percentile_lower=pct_lower,
            percentile_upper=pct_upper,
            lengths=lengths
        )
        workspace.RunOperatorOnce(op)

expected_output = bisect_percentile_op_ref(
            raw_data,
            pct_raw_data,
            pct_mapping,
            pct_lower,
            pct_upper,
            lengths
        )
        output = workspace.blobs['pct_output']
        np.testing.assert_array_almost_equal(output, expected_output)

def test_bisect_percentil_op_simple(self):
        raw_data = np.array([
            [1, 1],
            [2, 2],
            [3, 3],
            [3, 1],
            [9, 10],
            [1.5, 5],
            [1.32, 2.4],
            [2.9, 5.7],
            [-1, -1],
            [3, 7]
        ], dtype=np.float32)
        pct_raw_data = np.array([1, 2, 3, 2, 7], dtype=np.float32)
        pct_lower = np.array([0.1, 0.2, 0.9, 0.1, 0.5], dtype=np.float32)
        pct_upper = np.array([0.1, 0.8, 1.0, 0.4, 1.0], dtype=np.float32)
        pct_mapping = np.array([0.1, 0.5, 0.95, 0.25, 0.75], dtype=np.float32)
        lengths = np.array([3, 2], dtype=np.int32)
        self.compare_reference(
            raw_data, pct_raw_data, pct_mapping, pct_lower, pct_upper, lengths)

@given(
        N=st.integers(min_value=20, max_value=100),
        lengths=st.lists(
            elements=st.integers(min_value=2, max_value=10),
            min_size=2,
            max_size=5,
        ),
        max_value=st.integers(min_value=100, max_value=1000),
        discrete=st.booleans(),
        p=st.floats(min_value=0, max_value=0.9),
        **hu.gcs_cpu_only
    )
    def test_bisect_percentil_op_large(
        self, N, lengths, max_value, discrete, p, gc, dc
    ):
        lengths = np.array(lengths, dtype=np.int32)
        D = len(lengths)

if discrete:
            raw_data = np.random.randint(0, max_value, size=(N, D))
        else:
            raw_data = np.random.randn(N, D)

# To generate valid pct_lower and pct_upper
        pct_lower = []
        pct_upper = []
        pct_raw_data = []
        for i in range(D):
            pct_lower_val = 0.
            pct_upper_val = 0.
            pct_lower_cur = []
            pct_upper_cur = []
            # There is no duplicated values in pct_raw_data
            if discrete:
                pct_raw_data_cur = np.random.choice(
                    np.arange(max_value), size=lengths[i], replace=False)
            else:
                pct_raw_data_cur = np.random.randn(lengths[i])
                while len(set(pct_raw_data_cur)) < lengths[i]:
                    pct_raw_data_cur = np.random.randn(lengths[i])
            pct_raw_data_cur = np.sort(pct_raw_data_cur)
            for _ in range(lengths[i]):
                pct_lower_val = pct_upper_val + 0.01
                pct_lower_cur.append(pct_lower_val)
                pct_upper_val = pct_lower_val + \
                    0.01 * np.random.randint(1, 20) * (np.random.uniform() < p)
                pct_upper_cur.append(pct_upper_val)
            # normalization
            pct_lower_cur = np.array(pct_lower_cur, np.float32) / pct_upper_val
            pct_upper_cur = np.array(pct_upper_cur, np.float32) / pct_upper_val
            pct_lower.extend(pct_lower_cur)
            pct_upper.extend(pct_upper_cur)
            pct_raw_data.extend(pct_raw_data_cur)

pct_lower = np.array(pct_lower, dtype=np.float32)
        pct_upper = np.array(pct_upper, dtype=np.float32)
        pct_mapping = (pct_lower + pct_upper) / 2.
        raw_data = np.array(raw_data, dtype=np.float32)
        pct_raw_data = np.array(pct_raw_data, dtype=np.float32)

self.compare_reference(
            raw_data, pct_raw_data, pct_mapping, pct_lower, pct_upper, lengths)

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

cmd: