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/gather_ops_test.py (9216B)

import numpy as np

from caffe2.python import core, workspace
from hypothesis import given, settings
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import hypothesis.strategies as st
import hypothesis.extra.numpy as hnp

# Basic implementation of gather for axis == 0, shich is lookup of indices
# in the outer dimension. Keeping it for reference here, although is similar
# to more general function below.
def ref_gather_axis0():
    def inner(data, ind):
        if ind.size == 0 or data.shape[0] == 0:
            return [np.zeros((0, 10, 20)).astype(np.float32)]
        output = [data[i] for i in ind]
        return [output]
    return inner

# Returns axis-based lookup. We just use numpy take() which handles different
# axis values as we want.
def ref_gather(axis):
    def inner(data, ind):
        if ind.size == 0 or data.shape[axis] == 0:
            shape = list(data.shape)
            shape[0] = 0
            return [np.zeros(tuple(shape)).astype(np.float32)]
        # np.take() does axis lookup same as gather
        output = data.take(ind, axis).astype(np.float32)
        return [output]
    return inner

# Gather(..., match_outer==True)
def ref_gather_match_outer(axis=1):
    def inner(data, ind):
        if ind.size == 0 or data.shape[axis] == 0:
            shape = list(data.shape)
            shape[0] = 0
            return [np.zeros(tuple(shape)).astype(np.float32)]
        input_shape = list(data.shape)
        output_shape = input_shape[:axis] + list(ind.shape[axis:]) + input_shape[axis + 1:]
        output = np.zeros(tuple(output_shape)).astype(np.float32)
        if axis == 1:
            for i in range(data.shape[0]):
                output[i] = data[i, ind[i], ]
        elif axis == 2:
            for i in range(data.shape[0]):
                for j in range(data.shape[1]):
                    output[i, j] = data[i, j, ind[i, j], ]
        else:
            raise NotImplementedError
        return [output]
    return inner

class TestGatherOps(serial.SerializedTestCase):
    @given(rows_num=st.integers(0, 10000),
           index_num=st.integers(0, 5000),
           **hu.gcs)
    @settings(deadline=10000)
    def test_gather_ops(self, rows_num, index_num, gc, dc):
        data = np.random.random((rows_num, 10, 20)).astype(np.float32)

if rows_num > 0:
            ind = np.random.randint(rows_num, size=(index_num, )).astype('int32')
        else:
            ind = np.random.randint(10, size=(index_num, )).astype('int32')
        op = core.CreateOperator(
            'Gather',
            ['data', 'ind'],
            ['output'])

self.assertReferenceChecks(gc, op, [data, ind], ref_gather_axis0())
        self.assertDeviceChecks(dc, op, [data, ind], [0])
        return

# Test axis == 2, this keeps outer dimension but will replace data
    # within axis by lookup of index array (repeated for each outer entry)
    @given(batch_num=st.integers(1, 4000),
           rows_num=st.integers(1, 6),
           index_num=st.integers(1, 20),
           **hu.gcs)
    def test_gather_ops_axis2(self, batch_num, rows_num, index_num, gc, dc):
        data = np.random.random((batch_num, rows_num, 5)).astype(np.float32)
        ind = np.random.randint(5, size=(index_num, )).astype('int32')
        op = core.CreateOperator(
            'Gather',
            ['data', 'ind'],
            ['output'],
            axis=2)

self.assertReferenceChecks(gc, op, [data, ind], ref_gather(axis=2))
        self.assertDeviceChecks(dc, op, [data, ind], [0])
        return

# Test match_outer == true, the indices has the same outer dimensions as data
    @given(batch_num=st.integers(1, 40),
           rows_num=st.integers(1, 6),
           index_num=st.integers(1, 20),
           **hu.gcs_cpu_only)
    @settings(deadline=10000)
    def test_gather_ops_match_outer(self, batch_num, rows_num, index_num, gc, dc):
        data = np.random.random((batch_num, rows_num, 5)).astype(np.float32)
        ind = np.random.randint(rows_num, size=(batch_num, index_num)).astype('int32')
        op = core.CreateOperator(
            'Gather',
            ['data', 'ind'],
            ['output'],
            axis=1,
            match_outer=True)

self.assertReferenceChecks(gc, op, [data, ind], ref_gather_match_outer())
        self.assertDeviceChecks(dc, op, [data, ind], [0])
        self.assertGradientChecks(gc, op, [data, ind], 0, [0])
        return

# Test BatchGather with match_outer == true, the indices has the same outer dimensions as data
    # Note BatchGather is equivalent to Gather(..., axis=1)
    @given(batch_num=st.integers(1, 40),
           rows_num=st.integers(1, 6),
           index_num=st.integers(1, 20),
           **hu.gcs_cpu_only)
    @settings(deadline=10000)
    def test_batch_gather_op_match_outer(self, batch_num, rows_num, index_num, gc, dc):
        data = np.random.random((batch_num, rows_num, 5)).astype(np.float32)
        ind = np.random.randint(rows_num, size=(batch_num, index_num)).astype('int32')
        op = core.CreateOperator(
            'BatchGather',
            ['data', 'ind'],
            ['output'],
            match_outer=True)

# when the data is larger,
    # this test sometimes passes, sometimes fails,
    # test log here: https://fb.quip.com/SeiyAVWQXvsN (second run failed)
    # after some digging, this turns out to be numerical error,
    # the failed run has max|grad - estimated_grad| = 0.009
    # so here we changed the gradient checking threshold to 0.02 for this test to pass
    @given(batch_num=st.integers(1, 30),
           rows_num=st.integers(1, 6),
           index_num=st.integers(1, 10),
           index_num2=st.integers(1, 10),
           axis2_num=st.integers(1, 10),
           **hu.gcs_cpu_only)
    @settings(deadline=None, max_examples=50)
    def test_gather_op_match_outer_axis2_data4D_ind4D(
        self, batch_num, rows_num, axis2_num, index_num, index_num2, gc, dc
    ):
        data = np.random.random((batch_num, rows_num, axis2_num, 5)).astype(np.float32)
        ind = np.random.randint(axis2_num, size=(batch_num, rows_num, index_num, index_num2)).astype('int32')
        op = core.CreateOperator(
            'Gather',
            ['data', 'ind'],
            ['output'],
            axis=2,
            match_outer=True)

self.assertReferenceChecks(gc, op, [data, ind], ref_gather_match_outer(axis=2))
        self.assertDeviceChecks(dc, op, [data, ind], [0])
        self.assertGradientChecks(gc, op, [data, ind], 0, [0], threshold=0.02)
        return

# Generates data arrays of max dims 10x100x2 and indexing array up to rows_num
@st.composite
def _inputs(draw):
    batch_size = draw(st.integers(2, 10))
    rows_num = draw(st.integers(1, 100))
    block_size = draw(st.integers(1, 2))
    index_num = draw(st.integers(1, 10))
    return (
        draw(hnp.arrays(
            np.float32,
            (batch_size, rows_num, block_size),
            elements=hu.floats(-10.0, 10.0),
        )),
        draw(hnp.arrays(
            np.int32,
            (index_num, 1),
            elements=st.integers(0, rows_num - 1),
        )),
    )

class TestBatchGatherOps(hu.HypothesisTestCase):
    @given(inputs=_inputs(),
           **hu.gcs)
    @settings(deadline=10000)
    def test_batch_gather_ops(self, inputs, gc, dc):
        data, ind = inputs
        op = core.CreateOperator(
            'BatchGather',
            ['data', 'ind'],
            ['output'])
        self.assertReferenceChecks(gc, op, [data, ind], ref_gather(axis=1))
        self.assertGradientChecks(gc, op, [data, ind], 0, [0])

class TestGatherFused8BitRowwise(hu.HypothesisTestCase):
    @given(rows_num=st.integers(1, 10000),
           cols_num=st.integers(1, 128),
           index_num=st.integers(0, 5000),
           **hu.gcs)
    @settings(deadline=10000)
    def test_batch_gather_ops(self, rows_num, cols_num, index_num, gc, dc):
        data = np.random.random((rows_num, cols_num)).astype(np.float32)
        ind = np.random.randint(rows_num, size=(index_num, )).astype('int32')

net = core.Net("bench")

quantized_data = net.FloatToFused8BitRowwiseQuantized(
            'data', 'quantized_data')
        dequantized_data = net.Fused8BitRowwiseQuantizedToFloat(
            quantized_data, 'dequantized_data')

net.Gather(
            [dequantized_data, 'ind'], 'gather_reference')
        net.GatherFused8BitRowwise(
            [quantized_data, 'ind'], 'gather_quantized')

workspace.FeedBlob('data', data)
        workspace.FeedBlob('ind', ind)
        workspace.CreateNet(net)
        workspace.RunNetOnce(net)

gather_reference = workspace.FetchBlob('gather_reference')
        gather_quantized = workspace.FetchBlob('gather_quantized')
        np.testing.assert_array_almost_equal(gather_reference, gather_quantized)

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

cmd: