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Posted to commits@mxnet.apache.org by zh...@apache.org on 2018/06/25 00:24:41 UTC
[incubator-mxnet] branch master updated: flaky test disable
test_ImageRecordIter_seed_augmentation temporarily (#11381)
This is an automated email from the ASF dual-hosted git repository.
zhasheng pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new adec280 flaky test disable test_ImageRecordIter_seed_augmentation temporarily (#11381)
adec280 is described below
commit adec2802de64366926174af3245dbe71d2e08b1c
Author: Joshua Z. Zhang <ch...@gmail.com>
AuthorDate: Sun Jun 24 17:24:33 2018 -0700
flaky test disable test_ImageRecordIter_seed_augmentation temporarily (#11381)
* flaky test disable test_ImageRecordIter_seed_augmentation temporarily
* test deconv relax
---
tests/python/unittest/test_io.py | 2 +-
tests/python/unittest/test_operator.py | 20 ++++++++++----------
2 files changed, 11 insertions(+), 11 deletions(-)
diff --git a/tests/python/unittest/test_io.py b/tests/python/unittest/test_io.py
index c758208..f0928a6 100644
--- a/tests/python/unittest/test_io.py
+++ b/tests/python/unittest/test_io.py
@@ -335,7 +335,7 @@ def test_CSVIter():
for dtype in ['int32', 'float32']:
check_CSVIter_synthetic(dtype=dtype)
-
+@unittest.skip("Flaky test: https://github.com/apache/incubator-mxnet/issues/11359")
def test_ImageRecordIter_seed_augmentation():
get_cifar10()
seed_aug = 3
diff --git a/tests/python/unittest/test_operator.py b/tests/python/unittest/test_operator.py
index 82d9787..fbd3886 100644
--- a/tests/python/unittest/test_operator.py
+++ b/tests/python/unittest/test_operator.py
@@ -60,14 +60,14 @@ def check_rnn_consistency(cell1, cell2, T, N, I, H, grad_req):
dy = mx.random.uniform(shape=mod1.get_outputs()[0].shape)
mod1.backward(out_grads=[dy])
- mod2.backward(out_grads=[dy])
+ mod2.backward(out_grads=[dy])
if grad_req != 'null':
assert_allclose(mod1.get_input_grads()[0].asnumpy(), mod2.get_input_grads()[0].asnumpy(), rtol=1e-2, atol=1e-4)
else:
assert(mod1.get_input_grads()[0] == None)
assert(mod2.get_input_grads()[0] == None)
-
-
+
+
@with_seed()
def test_lstm_sym():
@@ -77,7 +77,7 @@ def test_lstm_sym():
stack.add(mx.rnn.LSTMCell(H, prefix='l0_'))
stack.add(mx.rnn.LSTMCell(H, prefix='l1_'))
stack.add(mx.rnn.LSTMCell(H, prefix='l2_'))
-
+
check_rnn_consistency(fused, stack, T, N, I, H, 'write')
check_rnn_consistency(fused, stack, T, N, I, H, 'add')
check_rnn_consistency(fused, stack, T, N, I, H, 'null')
@@ -118,16 +118,16 @@ def test_gru_sym():
@with_seed()
def test_gru_bidirectional():
T, N, I, H = 5, 20, 800, 800
-
+
fused = mx.rnn.FusedRNNCell(H, num_layers=2, mode='gru',
bidirectional=True, get_next_state=True, prefix='')
-
+
stack = mx.rnn.SequentialRNNCell()
stack.add(mx.rnn.BidirectionalCell(
mx.rnn.GRUCell(H, prefix='l0_'),
mx.rnn.GRUCell(H, prefix='r0_'),
- output_prefix='bi_gru_0_'))
-
+ output_prefix='bi_gru_0_'))
+
stack.add(mx.rnn.BidirectionalCell(
mx.rnn.GRUCell(H, prefix='l1_'),
mx.rnn.GRUCell(H, prefix='r1_'),
@@ -1111,7 +1111,7 @@ def check_deconvolution_forward_backward(input_shape, num_filter, kernel, stride
exe.forward(is_train=True)
out = exe.outputs[0].asnumpy()
exe.backward(out_grad)
- assert_almost_equal(out + args_grad_addto_npy[0], args_grad_addto[0].asnumpy(), rtol=1e-4, atol=1e-3)
+ assert_almost_equal(out + args_grad_addto_npy[0], args_grad_addto[0].asnumpy(), rtol=1e-3, atol=1e-3)
def check_deconvolution_gradient(input_shape, num_filter, pad):
@@ -4758,7 +4758,7 @@ def test_laop():
check_fw(test_gemm, [a2, b2, c2], [r2])
if grad_check == 1:
check_grad(test_gemm, [a2, b2, c2])
-
+
# Check gemm2 operator same way as gemm.
res_gemm = 4. * np.dot(data_in1, data_in2)
test_gemm = mx.sym.linalg.gemm2(data1, data2, alpha=4.)