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/listwise_l2r_operator_test.py (8740B)

import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, workspace
from hypothesis import given

class TestListwiseL2rOps(hu.HypothesisTestCase):
    def ref_lambda_rank_loss(
        self, y, r, use_ndcg_as_loss, use_idcg_normalization, use_exp_gain
    ):
        n = len(y)

def get_discounts(v):
            x = np.argsort(v)
            d = [0 for _ in range(n)]
            for i in range(n):
                d[x[i]] = 1.0 / np.log2(n - i + 1.0)
            return d

def sigm(x):
            return 1 / (1 + np.exp(-x))

def log_sigm(x):
            return -np.log(1 + np.exp(-x))

dy = np.zeros(n)
        loss = 0
        if np.sum(np.abs(r)) < 1e-6:
            return loss, dy
        if use_ndcg_as_loss and (not use_exp_gain):
            g = [r[i] for i in range(n)]
        else:
            g = [2 ** r[i] for i in range(n)]
        d = get_discounts(r)
        idcg = sum([g[i] * d[i] for i in range(n)])

if use_idcg_normalization:
            session_weight = max(idcg, 1e-5)
        else:
            session_weight = 1

d = get_discounts(y)

if use_ndcg_as_loss:
            dcg = sum(g[i] * d[i] for i in range(n))
            loss = (idcg - dcg) / session_weight
        for i in range(n):
            for j in range(n):
                if i == j:
                    continue
                lambda_weight = np.abs((g[i] - g[j]) * (d[i] - d[j]))
                rank_loss = -log_sigm(y[i] - y[j] if r[i] > r[j] else y[j] - y[i])
                rank_dy = (0.0 if r[i] > r[j] else 1.0) - sigm(-y[i] + y[j])
                if not use_ndcg_as_loss:
                    loss += lambda_weight * rank_loss / session_weight
                dy[i] += lambda_weight * rank_dy / session_weight

return loss, dy

@given(n=st.integers(1, 20), k=st.integers(2, 5), m=st.integers(3, 5))
    def test_lambda_rank_loss(self, n, k, m):
        y = np.random.rand(n * m).astype(np.float32)
        r = np.random.randint(k, size=n * m).astype(np.float32)
        # m sessions of length n
        session_lengths = np.repeat(n, m).astype(np.int32)
        ref_loss = np.empty(0)
        ref_ndcg_loss = np.empty(0)
        ref_ndcg_loss_no_exp = np.empty(0)
        ref_dcg_loss = np.empty(0)
        ref_dcg_loss_no_exp = np.empty(0)
        ref_dy = np.empty(0)
        ref_dy_no_exp = np.empty(0)
        ref_dcg_dy = np.empty(0)
        ref_dcg_dy_no_exp = np.empty(0)
        for i in range(m):
            r_loss, r_dy = self.ref_lambda_rank_loss(
                y[(i) * n : (i + 1) * n], r[(i) * n : (i + 1) * n], False, True, False
            )
            r_ndcg_loss, _ = self.ref_lambda_rank_loss(
                y[(i) * n : (i + 1) * n], r[(i) * n : (i + 1) * n], True, True, True
            )
            r_ndcg_loss_no_exp, r_dy_no_exp = self.ref_lambda_rank_loss(
                y[(i) * n : (i + 1) * n], r[(i) * n : (i + 1) * n], True, True, False
            )
            r_dcg_loss, r_dcg_dy = self.ref_lambda_rank_loss(
                y[(i) * n : (i + 1) * n], r[(i) * n : (i + 1) * n], True, False, True
            )
            r_dcg_loss_no_exp, r_dcg_dy_no_exp = self.ref_lambda_rank_loss(
                y[(i) * n : (i + 1) * n], r[(i) * n : (i + 1) * n], True, False, False
            )
            ref_loss = np.append(ref_loss, r_loss)
            ref_dy = np.append(ref_dy, r_dy)
            ref_ndcg_loss = np.append(ref_ndcg_loss, r_ndcg_loss)

ref_ndcg_loss_no_exp = np.append(ref_ndcg_loss_no_exp, r_ndcg_loss_no_exp)
            ref_dy_no_exp = np.append(ref_dy_no_exp, r_dy_no_exp)

ref_dcg_loss = np.append(ref_dcg_loss, r_dcg_loss)
            ref_dcg_dy = np.append(ref_dcg_dy, r_dcg_dy)

ref_dcg_loss_no_exp = np.append(ref_dcg_loss_no_exp, r_dcg_loss_no_exp)
            ref_dcg_dy_no_exp = np.append(ref_dcg_dy_no_exp, r_dcg_dy_no_exp)

dloss = np.random.random(m).astype(np.float32)

workspace.blobs["y"] = y
        workspace.blobs["r"] = r
        workspace.blobs["session_lengths"] = session_lengths
        workspace.blobs["dloss"] = dloss

op = core.CreateOperator(
            "LambdaRankNdcg",
            ["y", "r", "session_lengths"],
            ["loss", "dy"],
            use_ndcg_as_loss=False,
            use_idcg_normalization=True,
            use_exp_gain=False,
        )
        workspace.RunOperatorOnce(op)
        loss = workspace.blobs["loss"]
        dy = workspace.blobs["dy"]
        np.testing.assert_allclose(loss, ref_loss, rtol=1e-5, atol=1e-6)
        np.testing.assert_allclose(dy, ref_dy, rtol=1e-5, atol=1e-6)

op = core.CreateOperator(
            "LambdaRankNdcg",
            ["y", "r", "session_lengths"],
            ["loss", "dy"],
            use_ndcg_as_loss=True,
            use_idcg_normalization=True,
            use_exp_gain=True,
        )
        workspace.RunOperatorOnce(op)
        loss = workspace.blobs["loss"]
        dy = workspace.blobs["dy"]
        np.testing.assert_allclose(loss, ref_ndcg_loss, rtol=1e-5, atol=1e-6)
        np.testing.assert_allclose(dy, ref_dy, rtol=1e-5, atol=1e-6)

op = core.CreateOperator(
            "LambdaRankNdcgGradient",
            ["y", "session_lengths", "dy", "dloss"],
            ["dy_back"],
        )
        workspace.RunOperatorOnce(op)
        dy_back = workspace.blobs["dy_back"]
        for i in range(m):
            np.testing.assert_allclose(
                dy_back[i * n : (i + 1) * n],
                dloss[i] * ref_dy[i * n : (i + 1) * n],
                rtol=1e-5,
                atol=1e-6,
            )

op = core.CreateOperator(
            "LambdaRankNdcg",
            ["y", "r", "session_lengths"],
            ["loss", "dy"],
            use_ndcg_as_loss=True,
            use_idcg_normalization=True,
            use_exp_gain=False,
        )
        workspace.RunOperatorOnce(op)
        loss = workspace.blobs["loss"]
        dy = workspace.blobs["dy"]
        np.testing.assert_allclose(loss, ref_ndcg_loss_no_exp, rtol=1e-5, atol=1e-6)
        np.testing.assert_allclose(dy, ref_dy_no_exp, rtol=1e-5, atol=1e-6)

op = core.CreateOperator(
            "LambdaRankNdcgGradient",
            ["y", "session_lengths", "dy", "dloss"],
            ["dy_back"],
        )
        workspace.RunOperatorOnce(op)
        dy_back = workspace.blobs["dy_back"]
        for i in range(m):
            np.testing.assert_allclose(
                dy_back[i * n : (i + 1) * n],
                dloss[i] * ref_dy_no_exp[i * n : (i + 1) * n],
                rtol=1e-5,
                atol=1e-6,
            )

op = core.CreateOperator(
            "LambdaRankNdcg",
            ["y", "r", "session_lengths"],
            ["loss", "dy"],
            use_ndcg_as_loss=True,
            use_idcg_normalization=False,
            use_exp_gain=True,
        )
        workspace.RunOperatorOnce(op)
        loss = workspace.blobs["loss"]
        dy = workspace.blobs["dy"]
        np.testing.assert_allclose(loss, ref_dcg_loss, rtol=1e-5, atol=1e-6)
        np.testing.assert_allclose(dy, ref_dcg_dy, rtol=1e-5, atol=1e-6)

op = core.CreateOperator(
            "LambdaRankNdcgGradient",
            ["y", "session_lengths", "dy", "dloss"],
            ["dy_back"],
        )
        workspace.RunOperatorOnce(op)
        dy_back = workspace.blobs["dy_back"]
        for i in range(m):
            np.testing.assert_allclose(
                dy_back[i * n : (i + 1) * n],
                dloss[i] * ref_dcg_dy[i * n : (i + 1) * n],
                rtol=1e-5,
                atol=1e-6,
            )

op = core.CreateOperator(
            "LambdaRankNdcg",
            ["y", "r", "session_lengths"],
            ["loss", "dy"],
            use_ndcg_as_loss=True,
            use_idcg_normalization=False,
            use_exp_gain=False,
        )
        workspace.RunOperatorOnce(op)
        loss = workspace.blobs["loss"]
        dy = workspace.blobs["dy"]
        np.testing.assert_allclose(loss, ref_dcg_loss_no_exp, rtol=1e-5, atol=1e-6)
        np.testing.assert_allclose(dy, ref_dcg_dy_no_exp, rtol=1e-5, atol=1e-6)

op = core.CreateOperator(
            "LambdaRankNdcgGradient",
            ["y", "session_lengths", "dy", "dloss"],
            ["dy_back"],
        )
        workspace.RunOperatorOnce(op)
        dy_back = workspace.blobs["dy_back"]
        for i in range(m):
            np.testing.assert_allclose(
                dy_back[i * n : (i + 1) * n],
                dloss[i] * ref_dcg_dy_no_exp[i * n : (i + 1) * n],
                rtol=1e-5,
                atol=1e-6,
            )

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