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"tests/test_utils/__init__.py" did not exist on "bfbaaeafe5fb3e0868c9453bde3feaa2dc78f1fb"
Unverified Commit 1e27e90e authored by Jinjing Zhou's avatar Jinjing Zhou Committed by GitHub
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[MXNet] Patch mxnet unittest (#1395) 

* patch

* turn off tf test

* skip test

* fix
parent 08fcda32
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Showing with 58 additions and 54 deletions
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View file @ 1e27e90e
...@@ -203,47 +203,47 @@ pipeline { ...@@ -203,47 +203,47 @@ pipeline {
} }
} }
} }
stage("Tensorflow CPU") { // stage("Tensorflow CPU") {
agent { // agent {
docker { // docker {
label "linux-cpu-node" // label "linux-cpu-node"
image "dgllib/dgl-ci-cpu:conda" // image "dgllib/dgl-ci-cpu:conda"
} // }
} // }
stages { // stages {
stage("Unit test") { // stage("Unit test") {
steps { // steps {
unit_test_linux("tensorflow", "cpu") // unit_test_linux("tensorflow", "cpu")
} // }
} // }
} // }
post { // post {
always { // always {
cleanWs disableDeferredWipeout: true, deleteDirs: true // cleanWs disableDeferredWipeout: true, deleteDirs: true
} // }
} // }
} // }
stage("Tensorflow GPU") { // stage("Tensorflow GPU") {
agent { // agent {
docker { // docker {
label "linux-gpu-node" // label "linux-gpu-node"
image "dgllib/dgl-ci-gpu:conda" // image "dgllib/dgl-ci-gpu:conda"
args "--runtime nvidia" // args "--runtime nvidia"
} // }
} // }
stages { // stages {
stage("Unit test") { // stage("Unit test") {
steps { // steps {
unit_test_linux("tensorflow", "gpu") // unit_test_linux("tensorflow", "gpu")
} // }
} // }
} // }
post { // post {
always { // always {
cleanWs disableDeferredWipeout: true, deleteDirs: true // cleanWs disableDeferredWipeout: true, deleteDirs: true
} // }
} // }
} // }
stage("Torch CPU") { stage("Torch CPU") {
agent { agent {
docker { docker {
......
tests/compute/test_batched_graph.py
View file @ 1e27e90e
...@@ -130,8 +130,8 @@ def test_batch_send_then_recv(): ...@@ -130,8 +130,8 @@ def test_batch_send_then_recv():
bg.recv([1, 9]) # assuming recv takes in unique nodes bg.recv([1, 9]) # assuming recv takes in unique nodes
t1, t2 = dgl.unbatch(bg) t1, t2 = dgl.unbatch(bg)
assert t1.ndata['h'][1] == 7 assert F.asnumpy(t1.ndata['h'][1]) == 7
assert t2.ndata['h'][4] == 2 assert F.asnumpy(t2.ndata['h'][4]) == 2
def test_batch_send_and_recv(): def test_batch_send_and_recv():
t1 = tree1() t1 = tree1()
...@@ -146,8 +146,8 @@ def test_batch_send_and_recv(): ...@@ -146,8 +146,8 @@ def test_batch_send_and_recv():
bg.send_and_recv((u, v)) bg.send_and_recv((u, v))
t1, t2 = dgl.unbatch(bg) t1, t2 = dgl.unbatch(bg)
assert t1.ndata['h'][1] == 7 assert F.asnumpy(t1.ndata['h'][1]) == 7
assert t2.ndata['h'][4] == 2 assert F.asnumpy(t2.ndata['h'][4]) == 2
def test_batch_propagate(): def test_batch_propagate():
t1 = tree1() t1 = tree1()
...@@ -173,8 +173,8 @@ def test_batch_propagate(): ...@@ -173,8 +173,8 @@ def test_batch_propagate():
bg.prop_edges(order) bg.prop_edges(order)
t1, t2 = dgl.unbatch(bg) t1, t2 = dgl.unbatch(bg)
assert t1.ndata['h'][0] == 9 assert F.asnumpy(t1.ndata['h'][0]) == 9
assert t2.ndata['h'][1] == 5 assert F.asnumpy(t2.ndata['h'][1]) == 5
def test_batched_edge_ordering(): def test_batched_edge_ordering():
g1 = dgl.DGLGraph() g1 = dgl.DGLGraph()
......
tests/compute/test_graph.py
View file @ 1e27e90e
...@@ -358,8 +358,8 @@ def test_find_edges(): ...@@ -358,8 +358,8 @@ def test_find_edges():
g.add_nodes(10) g.add_nodes(10)
g.add_edges(range(9), range(1, 10)) g.add_edges(range(9), range(1, 10))
e = g.find_edges([1, 3, 2, 4]) e = g.find_edges([1, 3, 2, 4])
assert e[0][0] == 1 and e[0][1] == 3 and e[0][2] == 2 and e[0][3] == 4 assert F.asnumpy(e[0][0]) == 1 and F.asnumpy(e[0][1]) == 3 and F.asnumpy(e[0][2]) == 2 and F.asnumpy(e[0][3]) == 4
assert e[1][0] == 2 and e[1][1] == 4 and e[1][2] == 3 and e[1][3] == 5 assert F.asnumpy(e[1][0]) == 2 and F.asnumpy(e[1][1]) == 4 and F.asnumpy(e[1][2]) == 3 and F.asnumpy(e[1][3]) == 5
try: try:
g.find_edges([10]) g.find_edges([10])
...@@ -371,8 +371,8 @@ def test_find_edges(): ...@@ -371,8 +371,8 @@ def test_find_edges():
g.readonly() g.readonly()
e = g.find_edges([1, 3, 2, 4]) e = g.find_edges([1, 3, 2, 4])
assert e[0][0] == 1 and e[0][1] == 3 and e[0][2] == 2 and e[0][3] == 4 assert F.asnumpy(e[0][0]) == 1 and F.asnumpy(e[0][1]) == 3 and F.asnumpy(e[0][2]) == 2 and F.asnumpy(e[0][3]) == 4
assert e[1][0] == 2 and e[1][1] == 4 and e[1][2] == 3 and e[1][3] == 5 assert F.asnumpy(e[1][0]) == 2 and F.asnumpy(e[1][1]) == 4 and F.asnumpy(e[1][2]) == 3 and F.asnumpy(e[1][3]) == 5
try: try:
g.find_edges([10]) g.find_edges([10])
......
tests/compute/test_heterograph.py
View file @ 1e27e90e
...@@ -711,6 +711,7 @@ def test_flatten(): ...@@ -711,6 +711,7 @@ def test_flatten():
assert fg.etypes == ['follows+knows'] assert fg.etypes == ['follows+knows']
check_mapping(g, fg) check_mapping(g, fg)
@unittest.skipIf(F._default_context_str == 'cpu', reason="Need gpu for this test")
def test_to_device(): def test_to_device():
hg = create_test_heterograph() hg = create_test_heterograph()
if F.is_cuda_available(): if F.is_cuda_available():
......
tests/compute/test_random.py
View file @ 1e27e90e
...@@ -10,13 +10,13 @@ def test_random_choice(): ...@@ -10,13 +10,13 @@ def test_random_choice():
x = dgl.random.choice(a, 10, replace=True, prob=None) x = dgl.random.choice(a, 10, replace=True, prob=None)
assert len(x) == 10 assert len(x) == 10
for i in range(len(x)): for i in range(len(x)):
assert x[i] >= 0 and x[i] < 100 assert F.asnumpy(x[i]) >= 0 and F.asnumpy(x[i]) < 100
# test 2, replace=False, small num # test 2, replace=False, small num
a = F.arange(0, 100) a = F.arange(0, 100)
x = dgl.random.choice(a, 10, replace=False, prob=None) x = dgl.random.choice(a, 10, replace=False, prob=None)
assert len(x) == 10 assert len(x) == 10
for i in range(len(x)): for i in range(len(x)):
assert x[i] >= 0 and x[i] < 100 assert F.asnumpy(x[i]) >= 0 and F.asnumpy(x[i]) < 100
# test 3, replace=False, large num # test 3, replace=False, large num
a = F.arange(0, 100) a = F.arange(0, 100)
x = dgl.random.choice(a, 100, replace=False, prob=None) x = dgl.random.choice(a, 100, replace=False, prob=None)
...@@ -35,7 +35,7 @@ def test_random_choice(): ...@@ -35,7 +35,7 @@ def test_random_choice():
x = dgl.random.choice(100, 97, replace=False, prob=prob) x = dgl.random.choice(100, 97, replace=False, prob=prob)
assert len(x) == 97 assert len(x) == 97
for i in range(len(x)): for i in range(len(x)):
assert x[i] < 37 or x[i] >= 40 assert F.asnumpy(x[i]) < 37 or F.asnumpy(x[i]) >= 40
if __name__ == '__main__': if __name__ == '__main__':
test_random_choice() test_random_choice()
tests/compute/test_to_device.py
View file @ 1e27e90e
import dgl import dgl
import backend as F import backend as F
import unittest
@unittest.skipIf(F._default_context_str == 'cpu', reason="Need gpu for this test")
def test_to_device(): def test_to_device():
g = dgl.DGLGraph() g = dgl.DGLGraph()
g.add_nodes(5, {'h' : F.ones((5, 2))}) g.add_nodes(5, {'h' : F.ones((5, 2))})
......
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