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/feature_maps_ops_test.py (21492B)

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

class TestFeatureMapsOps(TestCase):

def test_merge_dense_feature_tensors(self):
        op = core.CreateOperator(
            "MergeDenseFeatureTensors",
            [
                "in1", "in1_presence",
            ],
            [
                "out_lengths", "out_keys", "out_values",
            ],
            feature_ids=[11, 12, 13, 14]
        )
        # Input 1.
        workspace.FeedBlob(
            "in1",
            np.array([[11.1, 12.1, 13.1, 14.1], [11.2, 12.2, 13.2, 14.2]], dtype=np.float)
        )
        workspace.FeedBlob(
            "in1_presence",
            np.array([[True, False, False, True], [False, True, True, False]], dtype=np.bool)
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("out_lengths"),
            np.array([2, 2], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_keys"),
            np.array([11, 14, 12, 13], dtype=np.int64)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values"),
            np.array([11.1, 14.1, 12.2, 13.2], dtype=np.float)
        )

def test_merge_single_scalar_feature_tensors(self):
        op = core.CreateOperator(
            "MergeSingleScalarFeatureTensors",
            [
                "in1", "in1_presence",
                "in2", "in2_presence",
            ],
            [
                "out_lengths", "out_keys", "out_values",
            ],
            feature_ids=[11, 12]
        )

# Input 1.
        workspace.FeedBlob(
            "in1",
            np.array([11.1, 0.0], dtype=np.float)
        )
        workspace.FeedBlob(
            "in1_presence",
            np.array([True, False], dtype=np.bool)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2",
            np.array([12.1, 12.2], dtype=np.float)
        )
        workspace.FeedBlob(
            "in2_presence",
            np.array([True, True], dtype=np.bool)
        )

workspace.RunOperatorOnce(op)

def test_merge_single_scalar_feature_tensors_gradient(self):
        op = core.CreateOperator(
            "MergeSingleScalarFeatureTensorsGradient",
            [
                "in1_presence",
                "in2_presence",
                "in3_presence",
                "out_values_grad",
            ],
            [
                "in1_grad", "in2_grad", "in3_grad",
            ],
        )

# Inputs 1, 2 & 3.
        workspace.FeedBlob(
            "in1_presence",
            np.array([True, False], dtype=np.bool)
        )
        workspace.FeedBlob(
            "in2_presence",
            np.array([True, True], dtype=np.bool)
        )
        workspace.FeedBlob(
            "in3_presence",
            np.array([False, True], dtype=np.bool)
        )
        # Input 4.
        workspace.FeedBlob(
            "out_values_grad",
            np.array([0.1, 1.1, 1.2, 2.3], dtype=np.float)
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("in1_grad"),
            np.array([0.1, 0], dtype=np.float)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("in2_grad"),
            np.array([1.1, 1.2], dtype=np.float)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("in3_grad"),
            np.array([0, 2.3], dtype=np.float)
        )

def test_merge_single_scalar_feature_tensors_gradient_with_strings(self):
        op = core.CreateOperator(
            "MergeSingleScalarFeatureTensorsGradient",
            [
                "in1_presence",
                "in2_presence",
                "in3_presence",
                "out_values_grad",
            ],
            [
                "in1_grad", "in2_grad", "in3_grad",
            ],
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("in1_grad"),
            np.array(["0.1", ""], dtype=np.bytes_)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("in2_grad"),
            np.array(["1.1", "1.2"], dtype=np.bytes_)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("in3_grad"),
            np.array(["", "2.3"], dtype=np.bytes_)
        )

def test_merge_single_list_feature_tensors(self):
        op = core.CreateOperator(
            "MergeSingleListFeatureTensors",
            [
                "in1_lengths", "in1_values", "in1_presence",
                "in2_lengths", "in2_values", "in2_presence",
            ],
            [
                "out_lengths", "out_keys", "out_values_lengths",
                "out_values_values",
            ],
            feature_ids=[11, 12]
        )

# Input 1.
        workspace.FeedBlob(
            "in1_lengths",
            np.array([2, 0], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_values",
            np.array([11.1, 11.2], dtype=np.float)
        )
        workspace.FeedBlob(
            "in1_presence",
            np.array([True, False], dtype=np.bool)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2_lengths",
            np.array([2, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_values",
            np.array([12.1, 12.2, 12.3, 12.4], dtype=np.float)
        )
        workspace.FeedBlob(
            "in2_presence",
            np.array([True, True], dtype=np.bool)
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("out_lengths"),
            np.array([2, 1], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_keys"),
            np.array([11, 12, 12], dtype=np.int64)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_lengths"),
            np.array([2, 2, 2], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_values"),
            np.array([11.1, 11.2, 12.1, 12.2, 12.3, 12.4], dtype=np.float)
        )

def test_merge_single_list_feature_tensors_gradient(self):
        self._test_merge_single_list_or_map_feature_tensors_gradient(
            "MergeSingleListFeatureTensorsGradient"
        )

def test_merge_single_map_feature_tensors_gradient(self):
        self._test_merge_single_list_or_map_feature_tensors_gradient(
            "MergeSingleMapFeatureTensorsGradient"
        )

def _test_merge_single_list_or_map_feature_tensors_gradient(self, op_name):
        op = core.CreateOperator(
            op_name,
            [
                "in1_lengths", "in1_presence",
                "in2_lengths", "in2_presence",
                "out_values_values_grad",
            ],
            [
                "in1_values_grad",
                "in2_values_grad",
            ],
        )

# Input 1.
        workspace.FeedBlob(
            "in1_lengths",
            np.array([2, 0], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_presence",
            np.array([True, False], dtype=np.bool)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2_lengths",
            np.array([2, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_presence",
            np.array([True, True], dtype=np.bool)
        )
        workspace.FeedBlob(
            "out_values_values_grad",
            np.array([11.1, 11.2, 12.1, 12.2, 12.3, 12.4], dtype=np.float)
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("in1_values_grad"),
            np.array([11.1, 11.2], dtype=np.float)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("in2_values_grad"),
            np.array([12.1, 12.2, 12.3, 12.4], dtype=np.float)
        )

def test_merge_single_map_feature_tensors(self):
        op = core.CreateOperator(
            "MergeSingleMapFeatureTensors",
            [
                "in1_lengths", "in1_keys", "in1_values", "in1_presence",
                "in2_lengths", "in2_keys", "in2_values", "in2_presence",
            ],
            [
                "out_lengths", "out_keys", "out_values_lengths",
                "out_values_keys", "out_values_values",
            ],
            feature_ids=[11, 12]
        )

# Input 1.
        workspace.FeedBlob(
            "in1_lengths",
            np.array([2, 0], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_keys",
            np.array([111, 112], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in1_values",
            np.array([11.1, 11.2], dtype=np.float)
        )
        workspace.FeedBlob(
            "in1_presence",
            np.array([True, False], dtype=np.bool)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2_lengths",
            np.array([2, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_keys",
            np.array([121, 122, 123, 124], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in2_values",
            np.array([12.1, 12.2, 12.3, 12.4], dtype=np.float)
        )
        workspace.FeedBlob(
            "in2_presence",
            np.array([True, True], dtype=np.bool)
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("out_lengths"),
            np.array([2, 1], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_keys"),
            np.array([11, 12, 12], dtype=np.int64)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_lengths"),
            np.array([2, 2, 2], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_keys"),
            np.array([111, 112, 121, 122, 123, 124], dtype=np.int64)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_values"),
            np.array([11.1, 11.2, 12.1, 12.2, 12.3, 12.4], dtype=np.float)
        )

def test_merge_multi_scalar_feature_tensors(self):
        op = core.CreateOperator(
            "MergeMultiScalarFeatureTensors",
            [
                "in1_lengths", "in1_keys", "in1_values",
                "in2_lengths", "in2_keys", "in2_values",
            ],
            [
                "out_lengths", "out_keys", "out_values",
            ]
        )

# Input 1.
        workspace.FeedBlob(
            "in1_lengths",
            np.array([1, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_keys",
            np.array([11, 12, 13], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in1_values",
            np.array([11.0, 12.0, 13.0], dtype=np.float)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2_lengths",
            np.array([2, 1], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_keys",
            np.array([14, 15, 16], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in2_values",
            np.array([14.0, 15.0, 16.0], dtype=np.float)
        )

workspace.RunOperatorOnce(op)

def test_merge_multi_scalar_feature_tensors_gradient(self):
        op = core.CreateOperator(
            "MergeMultiScalarFeatureTensorsGradient",
            [
                "in1_lengths",
                "in2_lengths",
                "out_values_grad"
            ],
            [
                "in1_values_grad",
                "in2_values_grad",
            ]
        )

# Input 1.
        workspace.FeedBlob(
            "in1_lengths",
            np.array([1, 2, 0], dtype=np.int32)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2_lengths",
            np.array([2, 1, 1], dtype=np.int32)
        )
        # Grad input.
        workspace.FeedBlob(
            "out_values_grad",
            np.array([11.0, 14.0, 15.0, 12.0, 13.0, 16.0, 17.0], dtype=np.float)
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("in1_values_grad"),
            np.array([11.0, 12.0, 13.0], dtype=np.float)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("in2_values_grad"),
            np.array([14.0, 15.0, 16.0, 17.0], dtype=np.float)
        )

def test_merge_multi_list_feature_tensors(self):
        op = core.CreateOperator(
            "MergeMultiListFeatureTensors",
            [
                "in1_lengths", "in1_keys", "in1_values_lengths",
                "in1_values_values",
                "in2_lengths", "in2_keys", "in2_values_lengths",
                "in2_values_values",
            ],
            [
                "out_lengths", "out_keys", "out_values_lengths",
                "out_values_values"
            ]
        )

# Input 1.
        workspace.FeedBlob(
            "in1_lengths",
            np.array([1, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_keys",
            np.array([11, 12, 13], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in1_values_lengths",
            np.array([2, 2, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_values_values",
            np.array([11.1, 11.2, 12.1, 12.2, 13.1, 13.2], dtype=np.float)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2_lengths",
            np.array([2, 1], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_keys",
            np.array([14, 15, 16], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in2_values_lengths",
            np.array([2, 2, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_values_values",
            np.array([14.1, 14.2, 15.1, 15.2, 16.1, 16.2], dtype=np.float)
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("out_lengths"),
            np.array([3, 3], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_keys"),
            np.array([11, 14, 15, 12, 13, 16], dtype=np.int64)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_lengths"),
            np.array([2, 2, 2, 2, 2, 2], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_values"),
            np.array(
                [
                    11.1, 11.2, 14.1, 14.2, 15.1, 15.2, 12.1, 12.2, 13.1, 13.2,
                    16.1, 16.2
                ],
                dtype=np.float
            )
        )

def test_merge_multi_map_feature_tensors(self):
        op = core.CreateOperator(
            "MergeMultiMapFeatureTensors",
            [
                "in1_lengths", "in1_keys", "in1_values_lengths",
                "in1_values_keys", "in1_values_values",
                "in2_lengths", "in2_keys", "in2_values_lengths",
                "in2_values_keys", "in2_values_values",
            ],
            [
                "out_lengths", "out_keys", "out_values_lengths",
                "out_values_keys", "out_values_values"
            ]
        )

# Input 1.
        workspace.FeedBlob(
            "in1_lengths",
            np.array([1, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_keys",
            np.array([11, 12, 13], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in1_values_lengths",
            np.array([2, 2, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_values_keys",
            np.array([111, 112, 121, 122, 131, 132], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in1_values_values",
            np.array([11.1, 11.2, 12.1, 12.2, 13.1, 13.2], dtype=np.float)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2_lengths",
            np.array([2, 1], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_keys",
            np.array([14, 15, 16], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in2_values_lengths",
            np.array([2, 2, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_values_keys",
            np.array([141, 142, 151, 152, 161, 162], dtype=np.int64)
        )
        workspace.FeedBlob(
            "in2_values_values",
            np.array([14.1, 14.2, 15.1, 15.2, 16.1, 16.2], dtype=np.float)
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("out_lengths"),
            np.array([3, 3], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_keys"),
            np.array([11, 14, 15, 12, 13, 16], dtype=np.int64)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_lengths"),
            np.array([2, 2, 2, 2, 2, 2], dtype=np.int32)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_keys"),
            np.array(
                [111, 112, 141, 142, 151, 152, 121, 122, 131, 132, 161, 162],
                dtype=np.int64
            )
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("out_values_values"),
            np.array(
                [
                    11.1, 11.2, 14.1, 14.2, 15.1, 15.2, 12.1, 12.2, 13.1, 13.2,
                    16.1, 16.2
                ],
                dtype=np.float
            )
        )

def test_merge_multi_list_feature_tensors_gradient(self):
        self._test_merge_multi_list_or_map_feature_tensors_gradient(
            "MergeMultiListFeatureTensorsGradient"
        )

def test_merge_multi_map_feature_tensors_gradient(self):
        self._test_merge_multi_list_or_map_feature_tensors_gradient(
            "MergeMultiMapFeatureTensorsGradient"
        )

def _test_merge_multi_list_or_map_feature_tensors_gradient(self, op_name):
        op = core.CreateOperator(
            op_name,
            [
                "in1_lengths", "in1_values_lengths",
                "in2_lengths", "in2_values_lengths",
                "out_values_values_grad"
            ],
            [
                "in1_values_values_grad",
                "in2_values_values_grad",
            ]
        )

# Input 1.
        workspace.FeedBlob(
            "in1_lengths",
            np.array([1, 2], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in1_values_lengths",
            np.array([2, 2, 2], dtype=np.int32)
        )
        # Input 2.
        workspace.FeedBlob(
            "in2_lengths",
            np.array([2, 1], dtype=np.int32)
        )
        workspace.FeedBlob(
            "in2_values_lengths",
            np.array([2, 2, 2], dtype=np.int32)
        )
        # Grad Input.
        workspace.FeedBlob(
            "out_values_values_grad",
            np.array(
                [
                    11.1, 11.2, 14.1, 14.2, 15.1, 15.2, 12.1, 12.2, 13.1, 13.2,
                    16.1, 16.2
                ],
                dtype=np.float
            )
        )

workspace.RunOperatorOnce(op)

np.testing.assert_array_equal(
            workspace.FetchBlob("in1_values_values_grad"),
            np.array([11.1, 11.2, 12.1, 12.2, 13.1, 13.2], dtype=np.float)
        )
        np.testing.assert_array_equal(
            workspace.FetchBlob("in2_values_values_grad"),
            np.array([14.1, 14.2, 15.1, 15.2, 16.1, 16.2], dtype=np.float)
        )

from caffe2.python import core, workspace from caffe2.python.test_util import TestCase import numpy as np class TestFeatureMapsOps(TestCase): def test_merge_dense_feature_tensors(self): op = core.CreateOperator( "MergeDenseFeatureTensors", [ "in1", "in1_presence", ], [ "out_lengths", "out_keys", "out_values", ], feature_ids=[11, 12, 13, 14] ) # Input 1. workspace.FeedBlob( "in1", np.array([[11.1, 12.1, 13.1, 14.1], [11.2, 12.2, 13.2, 14.2]], dtype=np.float) ) workspace.FeedBlob( "in1_presence", np.array([[True, False, False, True], [False, True, True, False]], dtype=np.bool) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("out_lengths"), np.array([2, 2], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_keys"), np.array([11, 14, 12, 13], dtype=np.int64) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values"), np.array([11.1, 14.1, 12.2, 13.2], dtype=np.float) ) def test_merge_single_scalar_feature_tensors(self): op = core.CreateOperator( "MergeSingleScalarFeatureTensors", [ "in1", "in1_presence", "in2", "in2_presence", ], [ "out_lengths", "out_keys", "out_values", ], feature_ids=[11, 12] ) # Input 1. workspace.FeedBlob( "in1", np.array([11.1, 0.0], dtype=np.float) ) workspace.FeedBlob( "in1_presence", np.array([True, False], dtype=np.bool) ) # Input 2. workspace.FeedBlob( "in2", np.array([12.1, 12.2], dtype=np.float) ) workspace.FeedBlob( "in2_presence", np.array([True, True], dtype=np.bool) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("out_lengths"), np.array([2, 1], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_keys"), np.array([11, 12, 12], dtype=np.int64) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values"), np.array([11.1, 12.1, 12.2], dtype=np.float) ) def test_merge_single_scalar_feature_tensors_gradient(self): op = core.CreateOperator( "MergeSingleScalarFeatureTensorsGradient", [ "in1_presence", "in2_presence", "in3_presence", "out_values_grad", ], [ "in1_grad", "in2_grad", "in3_grad", ], ) # Inputs 1, 2 & 3. workspace.FeedBlob( "in1_presence", np.array([True, False], dtype=np.bool) ) workspace.FeedBlob( "in2_presence", np.array([True, True], dtype=np.bool) ) workspace.FeedBlob( "in3_presence", np.array([False, True], dtype=np.bool) ) # Input 4. workspace.FeedBlob( "out_values_grad", np.array([0.1, 1.1, 1.2, 2.3], dtype=np.float) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("in1_grad"), np.array([0.1, 0], dtype=np.float) ) np.testing.assert_array_equal( workspace.FetchBlob("in2_grad"), np.array([1.1, 1.2], dtype=np.float) ) np.testing.assert_array_equal( workspace.FetchBlob("in3_grad"), np.array([0, 2.3], dtype=np.float) ) def test_merge_single_scalar_feature_tensors_gradient_with_strings(self): op = core.CreateOperator( "MergeSingleScalarFeatureTensorsGradient", [ "in1_presence", "in2_presence", "in3_presence", "out_values_grad", ], [ "in1_grad", "in2_grad", "in3_grad", ], ) # Inputs 1, 2 & 3. workspace.FeedBlob( "in1_presence", np.array([True, False], dtype=np.bool) ) workspace.FeedBlob( "in2_presence", np.array([True, True], dtype=np.bool) ) workspace.FeedBlob( "in3_presence", np.array([False, True], dtype=np.bool) ) # Input 4. workspace.FeedBlob( "out_values_grad", np.array(["0.1", "1.1", "1.2", "2.3"], dtype=np.unicode_) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("in1_grad"), np.array(["0.1", ""], dtype=np.bytes_) ) np.testing.assert_array_equal( workspace.FetchBlob("in2_grad"), np.array(["1.1", "1.2"], dtype=np.bytes_) ) np.testing.assert_array_equal( workspace.FetchBlob("in3_grad"), np.array(["", "2.3"], dtype=np.bytes_) ) def test_merge_single_list_feature_tensors(self): op = core.CreateOperator( "MergeSingleListFeatureTensors", [ "in1_lengths", "in1_values", "in1_presence", "in2_lengths", "in2_values", "in2_presence", ], [ "out_lengths", "out_keys", "out_values_lengths", "out_values_values", ], feature_ids=[11, 12] ) # Input 1. workspace.FeedBlob( "in1_lengths", np.array([2, 0], dtype=np.int32) ) workspace.FeedBlob( "in1_values", np.array([11.1, 11.2], dtype=np.float) ) workspace.FeedBlob( "in1_presence", np.array([True, False], dtype=np.bool) ) # Input 2. workspace.FeedBlob( "in2_lengths", np.array([2, 2], dtype=np.int32) ) workspace.FeedBlob( "in2_values", np.array([12.1, 12.2, 12.3, 12.4], dtype=np.float) ) workspace.FeedBlob( "in2_presence", np.array([True, True], dtype=np.bool) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("out_lengths"), np.array([2, 1], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_keys"), np.array([11, 12, 12], dtype=np.int64) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_lengths"), np.array([2, 2, 2], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_values"), np.array([11.1, 11.2, 12.1, 12.2, 12.3, 12.4], dtype=np.float) ) def test_merge_single_list_feature_tensors_gradient(self): self._test_merge_single_list_or_map_feature_tensors_gradient( "MergeSingleListFeatureTensorsGradient" ) def test_merge_single_map_feature_tensors_gradient(self): self._test_merge_single_list_or_map_feature_tensors_gradient( "MergeSingleMapFeatureTensorsGradient" ) def _test_merge_single_list_or_map_feature_tensors_gradient(self, op_name): op = core.CreateOperator( op_name, [ "in1_lengths", "in1_presence", "in2_lengths", "in2_presence", "out_values_values_grad", ], [ "in1_values_grad", "in2_values_grad", ], ) # Input 1. workspace.FeedBlob( "in1_lengths", np.array([2, 0], dtype=np.int32) ) workspace.FeedBlob( "in1_presence", np.array([True, False], dtype=np.bool) ) # Input 2. workspace.FeedBlob( "in2_lengths", np.array([2, 2], dtype=np.int32) ) workspace.FeedBlob( "in2_presence", np.array([True, True], dtype=np.bool) ) workspace.FeedBlob( "out_values_values_grad", np.array([11.1, 11.2, 12.1, 12.2, 12.3, 12.4], dtype=np.float) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("in1_values_grad"), np.array([11.1, 11.2], dtype=np.float) ) np.testing.assert_array_equal( workspace.FetchBlob("in2_values_grad"), np.array([12.1, 12.2, 12.3, 12.4], dtype=np.float) ) def test_merge_single_map_feature_tensors(self): op = core.CreateOperator( "MergeSingleMapFeatureTensors", [ "in1_lengths", "in1_keys", "in1_values", "in1_presence", "in2_lengths", "in2_keys", "in2_values", "in2_presence", ], [ "out_lengths", "out_keys", "out_values_lengths", "out_values_keys", "out_values_values", ], feature_ids=[11, 12] ) # Input 1. workspace.FeedBlob( "in1_lengths", np.array([2, 0], dtype=np.int32) ) workspace.FeedBlob( "in1_keys", np.array([111, 112], dtype=np.int64) ) workspace.FeedBlob( "in1_values", np.array([11.1, 11.2], dtype=np.float) ) workspace.FeedBlob( "in1_presence", np.array([True, False], dtype=np.bool) ) # Input 2. workspace.FeedBlob( "in2_lengths", np.array([2, 2], dtype=np.int32) ) workspace.FeedBlob( "in2_keys", np.array([121, 122, 123, 124], dtype=np.int64) ) workspace.FeedBlob( "in2_values", np.array([12.1, 12.2, 12.3, 12.4], dtype=np.float) ) workspace.FeedBlob( "in2_presence", np.array([True, True], dtype=np.bool) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("out_lengths"), np.array([2, 1], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_keys"), np.array([11, 12, 12], dtype=np.int64) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_lengths"), np.array([2, 2, 2], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_keys"), np.array([111, 112, 121, 122, 123, 124], dtype=np.int64) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_values"), np.array([11.1, 11.2, 12.1, 12.2, 12.3, 12.4], dtype=np.float) ) def test_merge_multi_scalar_feature_tensors(self): op = core.CreateOperator( "MergeMultiScalarFeatureTensors", [ "in1_lengths", "in1_keys", "in1_values", "in2_lengths", "in2_keys", "in2_values", ], [ "out_lengths", "out_keys", "out_values", ] ) # Input 1. workspace.FeedBlob( "in1_lengths", np.array([1, 2], dtype=np.int32) ) workspace.FeedBlob( "in1_keys", np.array([11, 12, 13], dtype=np.int64) ) workspace.FeedBlob( "in1_values", np.array([11.0, 12.0, 13.0], dtype=np.float) ) # Input 2. workspace.FeedBlob( "in2_lengths", np.array([2, 1], dtype=np.int32) ) workspace.FeedBlob( "in2_keys", np.array([14, 15, 16], dtype=np.int64) ) workspace.FeedBlob( "in2_values", np.array([14.0, 15.0, 16.0], dtype=np.float) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("out_lengths"), np.array([3, 3], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_keys"), np.array([11, 14, 15, 12, 13, 16], dtype=np.int64) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values"), np.array([11.0, 14.0, 15.0, 12.0, 13.0, 16.0], dtype=np.float) ) def test_merge_multi_scalar_feature_tensors_gradient(self): op = core.CreateOperator( "MergeMultiScalarFeatureTensorsGradient", [ "in1_lengths", "in2_lengths", "out_values_grad" ], [ "in1_values_grad", "in2_values_grad", ] ) # Input 1. workspace.FeedBlob( "in1_lengths", np.array([1, 2, 0], dtype=np.int32) ) # Input 2. workspace.FeedBlob( "in2_lengths", np.array([2, 1, 1], dtype=np.int32) ) # Grad input. workspace.FeedBlob( "out_values_grad", np.array([11.0, 14.0, 15.0, 12.0, 13.0, 16.0, 17.0], dtype=np.float) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("in1_values_grad"), np.array([11.0, 12.0, 13.0], dtype=np.float) ) np.testing.assert_array_equal( workspace.FetchBlob("in2_values_grad"), np.array([14.0, 15.0, 16.0, 17.0], dtype=np.float) ) def test_merge_multi_list_feature_tensors(self): op = core.CreateOperator( "MergeMultiListFeatureTensors", [ "in1_lengths", "in1_keys", "in1_values_lengths", "in1_values_values", "in2_lengths", "in2_keys", "in2_values_lengths", "in2_values_values", ], [ "out_lengths", "out_keys", "out_values_lengths", "out_values_values" ] ) # Input 1. workspace.FeedBlob( "in1_lengths", np.array([1, 2], dtype=np.int32) ) workspace.FeedBlob( "in1_keys", np.array([11, 12, 13], dtype=np.int64) ) workspace.FeedBlob( "in1_values_lengths", np.array([2, 2, 2], dtype=np.int32) ) workspace.FeedBlob( "in1_values_values", np.array([11.1, 11.2, 12.1, 12.2, 13.1, 13.2], dtype=np.float) ) # Input 2. workspace.FeedBlob( "in2_lengths", np.array([2, 1], dtype=np.int32) ) workspace.FeedBlob( "in2_keys", np.array([14, 15, 16], dtype=np.int64) ) workspace.FeedBlob( "in2_values_lengths", np.array([2, 2, 2], dtype=np.int32) ) workspace.FeedBlob( "in2_values_values", np.array([14.1, 14.2, 15.1, 15.2, 16.1, 16.2], dtype=np.float) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("out_lengths"), np.array([3, 3], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_keys"), np.array([11, 14, 15, 12, 13, 16], dtype=np.int64) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_lengths"), np.array([2, 2, 2, 2, 2, 2], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_values"), np.array( [ 11.1, 11.2, 14.1, 14.2, 15.1, 15.2, 12.1, 12.2, 13.1, 13.2, 16.1, 16.2 ], dtype=np.float ) ) def test_merge_multi_map_feature_tensors(self): op = core.CreateOperator( "MergeMultiMapFeatureTensors", [ "in1_lengths", "in1_keys", "in1_values_lengths", "in1_values_keys", "in1_values_values", "in2_lengths", "in2_keys", "in2_values_lengths", "in2_values_keys", "in2_values_values", ], [ "out_lengths", "out_keys", "out_values_lengths", "out_values_keys", "out_values_values" ] ) # Input 1. workspace.FeedBlob( "in1_lengths", np.array([1, 2], dtype=np.int32) ) workspace.FeedBlob( "in1_keys", np.array([11, 12, 13], dtype=np.int64) ) workspace.FeedBlob( "in1_values_lengths", np.array([2, 2, 2], dtype=np.int32) ) workspace.FeedBlob( "in1_values_keys", np.array([111, 112, 121, 122, 131, 132], dtype=np.int64) ) workspace.FeedBlob( "in1_values_values", np.array([11.1, 11.2, 12.1, 12.2, 13.1, 13.2], dtype=np.float) ) # Input 2. workspace.FeedBlob( "in2_lengths", np.array([2, 1], dtype=np.int32) ) workspace.FeedBlob( "in2_keys", np.array([14, 15, 16], dtype=np.int64) ) workspace.FeedBlob( "in2_values_lengths", np.array([2, 2, 2], dtype=np.int32) ) workspace.FeedBlob( "in2_values_keys", np.array([141, 142, 151, 152, 161, 162], dtype=np.int64) ) workspace.FeedBlob( "in2_values_values", np.array([14.1, 14.2, 15.1, 15.2, 16.1, 16.2], dtype=np.float) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("out_lengths"), np.array([3, 3], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_keys"), np.array([11, 14, 15, 12, 13, 16], dtype=np.int64) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_lengths"), np.array([2, 2, 2, 2, 2, 2], dtype=np.int32) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_keys"), np.array( [111, 112, 141, 142, 151, 152, 121, 122, 131, 132, 161, 162], dtype=np.int64 ) ) np.testing.assert_array_equal( workspace.FetchBlob("out_values_values"), np.array( [ 11.1, 11.2, 14.1, 14.2, 15.1, 15.2, 12.1, 12.2, 13.1, 13.2, 16.1, 16.2 ], dtype=np.float ) ) def test_merge_multi_list_feature_tensors_gradient(self): self._test_merge_multi_list_or_map_feature_tensors_gradient( "MergeMultiListFeatureTensorsGradient" ) def test_merge_multi_map_feature_tensors_gradient(self): self._test_merge_multi_list_or_map_feature_tensors_gradient( "MergeMultiMapFeatureTensorsGradient" ) def _test_merge_multi_list_or_map_feature_tensors_gradient(self, op_name): op = core.CreateOperator( op_name, [ "in1_lengths", "in1_values_lengths", "in2_lengths", "in2_values_lengths", "out_values_values_grad" ], [ "in1_values_values_grad", "in2_values_values_grad", ] ) # Input 1. workspace.FeedBlob( "in1_lengths", np.array([1, 2], dtype=np.int32) ) workspace.FeedBlob( "in1_values_lengths", np.array([2, 2, 2], dtype=np.int32) ) # Input 2. workspace.FeedBlob( "in2_lengths", np.array([2, 1], dtype=np.int32) ) workspace.FeedBlob( "in2_values_lengths", np.array([2, 2, 2], dtype=np.int32) ) # Grad Input. workspace.FeedBlob( "out_values_values_grad", np.array( [ 11.1, 11.2, 14.1, 14.2, 15.1, 15.2, 12.1, 12.2, 13.1, 13.2, 16.1, 16.2 ], dtype=np.float ) ) workspace.RunOperatorOnce(op) np.testing.assert_array_equal( workspace.FetchBlob("in1_values_values_grad"), np.array([11.1, 11.2, 12.1, 12.2, 13.1, 13.2], dtype=np.float) ) np.testing.assert_array_equal( workspace.FetchBlob("in2_values_values_grad"), np.array([14.1, 14.2, 15.1, 15.2, 16.1, 16.2], dtype=np.float) )