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/learning_rate_op_test.py (8652B)

from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial

from hypothesis import given, settings
import hypothesis.strategies as st

import copy
from functools import partial
import math
import numpy as np

class TestLearningRate(serial.SerializedTestCase):
    @given(**hu.gcs_cpu_only)
    @settings(deadline=None, max_examples=50)
    def test_alter_learning_rate_op(self, gc, dc):
        iter = np.random.randint(low=1, high=1e5, size=1)
        active_period = int(np.random.randint(low=1, high=1e3, size=1))
        inactive_period = int(np.random.randint(low=1, high=1e3, size=1))
        base_lr = float(np.random.random(1))

def ref(iter):
            iter = float(iter)
            reminder = iter % (active_period + inactive_period)
            if reminder < active_period:
                return (np.array(base_lr), )
            else:
                return (np.array(0.), )

op = core.CreateOperator(
            'LearningRate',
            'iter',
            'lr',
            policy="alter",
            active_first=True,
            base_lr=base_lr,
            active_period=active_period,
            inactive_period=inactive_period
        )

self.assertReferenceChecks(gc, op, [iter], ref)

@given(**hu.gcs_cpu_only)
    def test_hill_learning_rate_op(self, gc, dc):
        iter = np.random.randint(low=1, high=1e5, size=1)

num_iter = int(np.random.randint(low=1e2, high=1e8, size=1))
        start_multiplier = 1e-4
        gamma = 1.0
        power = 0.5
        end_multiplier = 1e-2
        base_lr = float(np.random.random(1))

def ref(iter):
            iter = float(iter)
            if iter < num_iter:
                lr = start_multiplier + (
                    1.0 - start_multiplier
                ) * iter / num_iter
            else:
                iter -= num_iter
                lr = math.pow(1.0 + gamma * iter, -power)
                lr = max(lr, end_multiplier)
            return (np.array(base_lr * lr), )

op = core.CreateOperator(
            'LearningRate',
            'data',
            'out',
            policy="hill",
            base_lr=base_lr,
            num_iter=num_iter,
            start_multiplier=start_multiplier,
            gamma=gamma,
            power=power,
            end_multiplier=end_multiplier,
        )
        self.assertReferenceChecks(gc, op, [iter], ref)

@given(**hu.gcs_cpu_only)
    def test_slope_learning_rate_op(self, gc, dc):
        iter = np.random.randint(low=1, high=1e5, size=1)

num_iter_1 = int(np.random.randint(low=1e2, high=1e3, size=1))
        multiplier_1 = 1.0
        num_iter_2 = num_iter_1 + int(np.random.randint(low=1e2, high=1e3, size=1))
        multiplier_2 = 0.5
        base_lr = float(np.random.random(1))

def ref(iter):
            iter = float(iter)
            if iter < num_iter_1:
                lr = multiplier_1
            else:
                lr = max(
                    multiplier_1 + (iter - num_iter_1) * (multiplier_2 - multiplier_1) / (num_iter_2 - num_iter_1),
                    multiplier_2
                )
            return (np.array(base_lr * lr), )

op = core.CreateOperator(
            'LearningRate',
            'data',
            'out',
            policy="slope",
            base_lr=base_lr,
            num_iter_1=num_iter_1,
            multiplier_1=multiplier_1,
            num_iter_2=num_iter_2,
            multiplier_2=multiplier_2,
        )
        self.assertReferenceChecks(gc, op, [iter], ref)

@given(
        **hu.gcs_cpu_only
    )
    @settings(max_examples=10)
    def test_gate_learningrate(self, gc, dc):
        iter = np.random.randint(low=1, high=1e5, size=1)
        num_iter = int(np.random.randint(low=1e2, high=1e3, size=1))
        base_lr = float(np.random.uniform(-1, 1))
        multiplier_1 = float(np.random.uniform(-1, 1))
        multiplier_2 = float(np.random.uniform(-1, 1))

def ref(iter):
            iter = float(iter)
            if iter < num_iter:
                return (np.array(multiplier_1 * base_lr), )
            else:
                return (np.array(multiplier_2 * base_lr), )

op = core.CreateOperator(
            'LearningRate',
            'data',
            'out',
            policy="gate",
            num_iter=num_iter,
            multiplier_1=multiplier_1,
            multiplier_2=multiplier_2,
            base_lr=base_lr,
        )

self.assertReferenceChecks(gc, op, [iter], ref)

@given(
        gc=hu.gcs['gc'],
        min_num_iter=st.integers(min_value=10, max_value=20),
        max_num_iter=st.integers(min_value=50, max_value=100),
    )
    @settings(max_examples=2, deadline=None)
    def test_composite_learning_rate_op(self, gc, min_num_iter, max_num_iter):
        np.random.seed(65535)
        # Generate the iteration numbers for sub policy
        # The four sub policies are as follows:
        # 1. exp; 2. step; 3. fix; 4. exp
        num_lr_policy = 4
        iter_nums = np.random.randint(
            low=min_num_iter, high=max_num_iter, size=num_lr_policy)
        accu_iter_num = copy.deepcopy(iter_nums)
        for i in range(1, num_lr_policy):
            accu_iter_num[i] += accu_iter_num[i - 1]
        total_iter_nums = accu_iter_num[-1]

policy_lr_scale = np.random.uniform(low=0.1, high=2.0, size=num_lr_policy)

# args for StepLRPolicy
        step_size = np.random.randint(low=2, high=min_num_iter // 2)
        step_gamma = np.random.random()
        # args for ExpLRPolicy
        exp_gamma = np.random.random()
        # common args
        base_lr = 0.1

# StepLRPolicy
        def step_lr(iter, lr_scale):
            return math.pow(step_gamma, iter // step_size) * lr_scale

# ExpLRPolicy
        def exp_lr(iter, lr_scale):
            return math.pow(exp_gamma, iter) * lr_scale

# FixedLRPolicy
        def fixed_lr(iter, lr_scale):
            return lr_scale

# test one sub policy case
        def one_policy_check_ref(iter, lr_scale):
            iter = int(iter)
            exp_lr_val = exp_lr(iter, lr_scale=lr_scale)
            return (np.array(base_lr * exp_lr_val), )

op = core.CreateOperator(
            'LearningRate',
            'data',
            'out',
            policy='composite',
            sub_policy_num_iters=iter_nums[:1],
            sub_policy_0_lr_scale=policy_lr_scale[0],
            sub_policy_0_policy='exp',
            sub_policy_0_gamma=exp_gamma,
            base_lr=base_lr,
        )
        for iter_idx in range(1, total_iter_nums + 1):
            self.assertReferenceChecks(
                gc, op, [np.asarray([iter_idx])],
                partial(one_policy_check_ref, lr_scale=policy_lr_scale[0]))

# all the case with all four sub policies
        def all_sub_policy_check_ref(iter, lr_scale):
            assert iter <= accu_iter_num[3]
            if iter <= accu_iter_num[0]:
                lr = exp_lr(iter, lr_scale=lr_scale)
            elif iter <= accu_iter_num[1]:
                lr = step_lr(iter, lr_scale=lr_scale)
            elif iter <= accu_iter_num[2]:
                lr = fixed_lr(iter, lr_scale=lr_scale)
            else:
                lr = exp_lr(iter, lr_scale=lr_scale)
            return (np.array(base_lr * lr), )

op = core.CreateOperator(
            'LearningRate',
            'data',
            'out',
            policy='composite',
            sub_policy_num_iters=iter_nums,
            sub_policy_0_policy='exp',
            sub_policy_0_lr_scale=policy_lr_scale[0],
            sub_policy_0_gamma=exp_gamma,
            sub_policy_1_policy='step',
            sub_policy_1_lr_scale=policy_lr_scale[1],
            sub_policy_1_stepsize=step_size,
            sub_policy_1_gamma=step_gamma,
            sub_policy_2_policy='fixed',
            sub_policy_2_lr_scale=policy_lr_scale[2],
            sub_policy_3_policy='exp',
            sub_policy_3_gamma=exp_gamma,
            sub_policy_3_lr_scale=policy_lr_scale[3],
            base_lr=base_lr,
        )

iter_policy = 0
        for iter_idx in range(1, total_iter_nums + 1):
            if iter_idx > accu_iter_num[iter_policy]:
                iter_policy += 1
            self.assertReferenceChecks(
                gc, op, [np.asarray([iter_idx])],
                partial(all_sub_policy_check_ref,
                        lr_scale=policy_lr_scale[iter_policy])
            )

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

cmd: