FM / ideep

/usr/local/lib64/python3.6/site-packages/caffe2/python/ideep/

/usr/local/lib64/python3.6/site-packages/caffe2/python/ideep

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
adam_op_test.py	3212	0644	edit dl rm
blobs_queue_db_test.py	4045	0644	edit dl rm
channel_shuffle_op_test.py	1286	0644	edit dl rm
concat_split_op_test.py	5532	0644	edit dl rm
convfusion_op_test.py	31919	0644	edit dl rm
conv_op_test.py	5666	0644	edit dl rm
conv_transpose_test.py	2595	0644	edit dl rm
copy_op_test.py	3074	0644	edit dl rm
dropout_op_test.py	2075	0644	edit dl rm
elementwise_sum_op_test.py	6317	0644	edit dl rm
expanddims_squeeze_op_test.py	4285	0644	edit dl rm
fc_op_test.py	11745	0644	edit dl rm
leaky_relu_op_test.py	2854	0644	edit dl rm
LRN_op_test.py	1195	0644	edit dl rm
moment_sgd_op_test.py	1777	0644	edit dl rm
operator_fallback_op_test.py	3450	0644	edit dl rm
order_switch_op_test.py	2299	0644	edit dl rm
pool_op_test.py	4296	0644	edit dl rm
pre_convert_test.py	4115	0644	edit dl rm
relu_op_test.py	3705	0644	edit dl rm
reshape_op_test.py	5919	0644	edit dl rm
shape_op_test.py	2631	0644	edit dl rm
sigmoid_op_test.py	775	0644	edit dl rm
softmax_op_test.py	932	0644	edit dl rm
spatial_bn_op_test.py	5237	0644	edit dl rm
test_ideep_net.py	4094	0644	edit dl rm
transform_ideep_net.py	11683	0644	edit dl rm
transpose_op_test.py	1284	0644	edit dl rm
weightedsum_op_test.py	1560	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/ideep/moment_sgd_op_test.py (1777B)

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

@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
class TestMomentumSGDUpdateOps(hu.HypothesisTestCase):
    @given(n=st.integers(4, 8), nesterov=st.booleans(),
           **mu.gcs)
    def test_MomentumSGDUpdate(self, n, nesterov, gc, dc):
        param = np.random.rand(n).astype(np.float32)
        grad = np.random.rand(n).astype(np.float32)
        lr = np.random.rand(1).astype(np.float32)
        param_momentum = np.random.rand(n).astype(np.float32)
        momentum = 0.9
        op = core.CreateOperator(
            "MomentumSGDUpdate",
            ["grad", "param_momentum", "lr", "param"],
            ["grad", "param_momentum", "param"],
            momentum=momentum,
            nesterov=int(nesterov),
        )
        # Iter lives on the CPU
        input_device_options = {'lr': hu.cpu_do}

self.assertDeviceChecks(
            dc,
            op,
            [grad, param_momentum, lr, param],
            [0],
            input_device_options=input_device_options,
            threshold=0.001)

op_noparam = core.CreateOperator(
            "MomentumSGD",
            ["grad", "param_momentum", "lr"],
            ["grad", "param_momentum"],
            momentum=momentum,
            nesterov=int(nesterov),
        )

self.assertDeviceChecks(
            dc,
            op_noparam,
            [grad, param_momentum, lr],
            [0],
            input_device_options=input_device_options,
            threshold=0.001)

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

cmd: