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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/11/16 19:33:15 UTC
[GitHub] [incubator-mxnet] Zha0q1 opened a new pull request #19541: NP Large tensor tests batch 5
Zha0q1 opened a new pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541
Batch 5 of large tensor tests.
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[GitHub] [incubator-mxnet] access2rohit commented on a change in pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
access2rohit commented on a change in pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#discussion_r538948795
##########
File path: tests/nightly/test_np_large_array.py
##########
@@ -1312,6 +1312,219 @@ def test_polyval():
assert poly.grad.shape == poly.shape
assert poly.grad[0] == 4
+
+@use_np
+def test_rot90():
+ inp = np.zeros((1, 2, INT_OVERFLOW))
+ inp[-1, -1, -1] = 1
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.rot90(inp, axes=(1,2))
+ out.backward()
+ assert out.shape == (1, INT_OVERFLOW, 2)
+ assert out[0, 0, 1] == 1
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1, -1] == 1
+
+
+@use_np
+def test_squeeze():
+ inp = np.zeros((2, 1, INT_OVERFLOW))
+ inp[-1, -1, -1] = 1
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.squeeze(inp, axis=1)
+ out.backward()
+ assert out.shape == (2, INT_OVERFLOW)
+ assert out[-1, -1] == 1
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1, -1] == 1
+
+
+@use_np
+def test_tile():
+ inp = np.array([[0, 1],[2, 3]])
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.tile(inp, (1, HALF_INT_OVERFLOW))
+ out.backward()
+ assert out.shape == (2, INT_OVERFLOW)
+ assert out[-1, -1] == 3
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1] == HALF_INT_OVERFLOW
+
+
+@use_np
+def test_trace():
+ N = 2**16
+ inp1 = np.eye(N)
+ inp1.attach_grad()
+ with mx.autograd.record():
+ out1 = np.trace(inp1)
+ out1.backward()
+ assert out1 == N
+ assert inp1.grad.shape == inp1.shape
+ assert inp1.grad[0, 0] == 1 and inp1.grad[-1, -1] == 1
+ inp2 = np.zeros((2, INT_OVERFLOW))
+ inp2[-1, -1] = 1
+ inp2.attach_grad()
+ with mx.autograd.record():
+ out2 = np.trace(inp2, offset=INT_OVERFLOW-2)
+ out2.backward()
+ assert out2 == 1
+ assert inp2.grad.shape == inp2.shape
+ assert inp2.grad[0, -2] == 1 and inp2.grad[-1, -1] == 1
+
+
+@use_np
+def test_tri():
+ N = 2**16
+ data1 = np.tri(N)
+ assert data1.shape == (N, N)
+ assert data1[0, 0] == 1 and data1[-1, -1] == 1
+ assert data1[0, -1] == 0 and data1[-1, 0] == 1
+ data2 = np.tri(2, INT_OVERFLOW, INT_OVERFLOW-2)
Review comment:
same
##########
File path: tests/nightly/test_np_large_array.py
##########
@@ -1312,6 +1312,219 @@ def test_polyval():
assert poly.grad.shape == poly.shape
assert poly.grad[0] == 4
+
+@use_np
+def test_rot90():
+ inp = np.zeros((1, 2, INT_OVERFLOW))
+ inp[-1, -1, -1] = 1
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.rot90(inp, axes=(1,2))
+ out.backward()
+ assert out.shape == (1, INT_OVERFLOW, 2)
+ assert out[0, 0, 1] == 1
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1, -1] == 1
+
+
+@use_np
+def test_squeeze():
+ inp = np.zeros((2, 1, INT_OVERFLOW))
+ inp[-1, -1, -1] = 1
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.squeeze(inp, axis=1)
+ out.backward()
+ assert out.shape == (2, INT_OVERFLOW)
+ assert out[-1, -1] == 1
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1, -1] == 1
+
+
+@use_np
+def test_tile():
+ inp = np.array([[0, 1],[2, 3]])
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.tile(inp, (1, HALF_INT_OVERFLOW))
+ out.backward()
+ assert out.shape == (2, INT_OVERFLOW)
+ assert out[-1, -1] == 3
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1] == HALF_INT_OVERFLOW
+
+
+@use_np
+def test_trace():
+ N = 2**16
+ inp1 = np.eye(N)
+ inp1.attach_grad()
+ with mx.autograd.record():
+ out1 = np.trace(inp1)
+ out1.backward()
+ assert out1 == N
+ assert inp1.grad.shape == inp1.shape
+ assert inp1.grad[0, 0] == 1 and inp1.grad[-1, -1] == 1
+ inp2 = np.zeros((2, INT_OVERFLOW))
+ inp2[-1, -1] = 1
+ inp2.attach_grad()
+ with mx.autograd.record():
+ out2 = np.trace(inp2, offset=INT_OVERFLOW-2)
+ out2.backward()
+ assert out2 == 1
+ assert inp2.grad.shape == inp2.shape
+ assert inp2.grad[0, -2] == 1 and inp2.grad[-1, -1] == 1
+
+
+@use_np
+def test_tri():
+ N = 2**16
+ data1 = np.tri(N)
+ assert data1.shape == (N, N)
+ assert data1[0, 0] == 1 and data1[-1, -1] == 1
+ assert data1[0, -1] == 0 and data1[-1, 0] == 1
+ data2 = np.tri(2, INT_OVERFLOW, INT_OVERFLOW-2)
+ assert data2.shape == (2, INT_OVERFLOW)
+ assert data2[0, -1] == 0 and data2[-1, -1] == 1
+
+
+@use_np
+def test_tril():
+ N = 2**16
+ inp1 = np.ones((N, N))
+ inp1.attach_grad()
+ with mx.autograd.record():
+ out1 = np.tril(inp1)
+ out1.backward()
+ assert out1.shape == (N, N)
+ assert out1[-1, -1] == 1 and out1[0, -1] == 0 and out1[-1, 0] == 1
+ assert inp1.grad.shape == inp1.shape
+ assert inp1.grad[-1, -1] == 1 and inp1.grad[0, -1] == 0 and \
+ inp1.grad[-1, 0] == 1
+ inp2 = np.ones((2, INT_OVERFLOW))
Review comment:
same
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[GitHub] [incubator-mxnet] Zha0q1 commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742997098
@mxnet-bot run ci [unix-cpu]
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742996795
None of the jobs entered are supported.
Jobs entered by user: [unix_cpu]
CI supported Jobs: [windows-gpu, centos-gpu, unix-cpu, website, sanity, edge, clang, unix-gpu, windows-cpu, centos-cpu, miscellaneous]
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[GitHub] [incubator-mxnet] access2rohit commented on a change in pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
access2rohit commented on a change in pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#discussion_r538948709
##########
File path: tests/nightly/test_np_large_array.py
##########
@@ -1312,6 +1312,219 @@ def test_polyval():
assert poly.grad.shape == poly.shape
assert poly.grad[0] == 4
+
+@use_np
+def test_rot90():
+ inp = np.zeros((1, 2, INT_OVERFLOW))
+ inp[-1, -1, -1] = 1
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.rot90(inp, axes=(1,2))
+ out.backward()
+ assert out.shape == (1, INT_OVERFLOW, 2)
+ assert out[0, 0, 1] == 1
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1, -1] == 1
+
+
+@use_np
+def test_squeeze():
+ inp = np.zeros((2, 1, INT_OVERFLOW))
+ inp[-1, -1, -1] = 1
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.squeeze(inp, axis=1)
+ out.backward()
+ assert out.shape == (2, INT_OVERFLOW)
+ assert out[-1, -1] == 1
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1, -1] == 1
+
+
+@use_np
+def test_tile():
+ inp = np.array([[0, 1],[2, 3]])
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.tile(inp, (1, HALF_INT_OVERFLOW))
+ out.backward()
+ assert out.shape == (2, INT_OVERFLOW)
+ assert out[-1, -1] == 3
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1] == HALF_INT_OVERFLOW
+
+
+@use_np
+def test_trace():
+ N = 2**16
+ inp1 = np.eye(N)
+ inp1.attach_grad()
+ with mx.autograd.record():
+ out1 = np.trace(inp1)
+ out1.backward()
+ assert out1 == N
+ assert inp1.grad.shape == inp1.shape
+ assert inp1.grad[0, 0] == 1 and inp1.grad[-1, -1] == 1
+ inp2 = np.zeros((2, INT_OVERFLOW))
Review comment:
Can we use inp1 here again so previous memory is released by python ?
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[GitHub] [incubator-mxnet] Zha0q1 merged pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 merged pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742997140
Jenkins CI successfully triggered : [unix-cpu]
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[GitHub] [incubator-mxnet] Zha0q1 removed a comment on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 removed a comment on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742893163
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[GitHub] [incubator-mxnet] Zha0q1 commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742893163
Jenkins CI successfully triggered : [unix-cpu, windows-gpu]
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[GitHub] [incubator-mxnet] Zha0q1 commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742996769
@mxnet-bot run ci [unix_cpu]
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742815301
Jenkins CI successfully triggered : [unix-cpu, centos-gpu, unix-gpu]
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[GitHub] [incubator-mxnet] Zha0q1 commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742815220
@mxnet-bot run ci [centos-gpu, unix-cpu, unix-gpu]
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[GitHub] [incubator-mxnet] access2rohit commented on a change in pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
access2rohit commented on a change in pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#discussion_r538948971
##########
File path: tests/nightly/test_np_large_array.py
##########
@@ -1312,6 +1312,219 @@ def test_polyval():
assert poly.grad.shape == poly.shape
assert poly.grad[0] == 4
+
+@use_np
+def test_rot90():
+ inp = np.zeros((1, 2, INT_OVERFLOW))
+ inp[-1, -1, -1] = 1
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.rot90(inp, axes=(1,2))
+ out.backward()
+ assert out.shape == (1, INT_OVERFLOW, 2)
+ assert out[0, 0, 1] == 1
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1, -1] == 1
+
+
+@use_np
+def test_squeeze():
+ inp = np.zeros((2, 1, INT_OVERFLOW))
+ inp[-1, -1, -1] = 1
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.squeeze(inp, axis=1)
+ out.backward()
+ assert out.shape == (2, INT_OVERFLOW)
+ assert out[-1, -1] == 1
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1, -1] == 1
+
+
+@use_np
+def test_tile():
+ inp = np.array([[0, 1],[2, 3]])
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.tile(inp, (1, HALF_INT_OVERFLOW))
+ out.backward()
+ assert out.shape == (2, INT_OVERFLOW)
+ assert out[-1, -1] == 3
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1] == HALF_INT_OVERFLOW
+
+
+@use_np
+def test_trace():
+ N = 2**16
+ inp1 = np.eye(N)
+ inp1.attach_grad()
+ with mx.autograd.record():
+ out1 = np.trace(inp1)
+ out1.backward()
+ assert out1 == N
+ assert inp1.grad.shape == inp1.shape
+ assert inp1.grad[0, 0] == 1 and inp1.grad[-1, -1] == 1
+ inp2 = np.zeros((2, INT_OVERFLOW))
+ inp2[-1, -1] = 1
+ inp2.attach_grad()
+ with mx.autograd.record():
+ out2 = np.trace(inp2, offset=INT_OVERFLOW-2)
+ out2.backward()
+ assert out2 == 1
+ assert inp2.grad.shape == inp2.shape
+ assert inp2.grad[0, -2] == 1 and inp2.grad[-1, -1] == 1
+
+
+@use_np
+def test_tri():
+ N = 2**16
+ data1 = np.tri(N)
+ assert data1.shape == (N, N)
+ assert data1[0, 0] == 1 and data1[-1, -1] == 1
+ assert data1[0, -1] == 0 and data1[-1, 0] == 1
+ data2 = np.tri(2, INT_OVERFLOW, INT_OVERFLOW-2)
+ assert data2.shape == (2, INT_OVERFLOW)
+ assert data2[0, -1] == 0 and data2[-1, -1] == 1
+
+
+@use_np
+def test_tril():
+ N = 2**16
+ inp1 = np.ones((N, N))
+ inp1.attach_grad()
+ with mx.autograd.record():
+ out1 = np.tril(inp1)
+ out1.backward()
+ assert out1.shape == (N, N)
+ assert out1[-1, -1] == 1 and out1[0, -1] == 0 and out1[-1, 0] == 1
+ assert inp1.grad.shape == inp1.shape
+ assert inp1.grad[-1, -1] == 1 and inp1.grad[0, -1] == 0 and \
+ inp1.grad[-1, 0] == 1
+ inp2 = np.ones((2, INT_OVERFLOW))
+ inp2[-1, -1] = 1
+ inp2.attach_grad()
+ with mx.autograd.record():
+ out2 = np.tril(inp2, k=INT_OVERFLOW-2)
+ out2.backward()
+ assert out2.shape == inp2.shape
+ assert out2[0, -1] == 0 and out2[-1, -1] == 1
+ assert inp2.grad.shape == inp2.shape
+ assert inp2.grad[0, -1] == 0 and inp2.grad[-1, -1] == 1
+
+
+@use_np
+def test_triu():
+ N = 2**16
+ inp1 = np.ones((N, N))
+ inp1.attach_grad()
+ with mx.autograd.record():
+ out1 = np.triu(inp1)
+ out1.backward()
+ assert out1.shape == (N, N)
+ assert out1[-1, -1] == 1 and out1[0, -1] == 1 and out1[-1, 0] == 0
+ assert inp1.grad.shape == inp1.shape
+ assert inp1.grad[-1, -1] == 1 and inp1.grad[0, -1] == 1 and \
+ inp1.grad[-1, 0] == 0
+ inp2 = np.ones((2, INT_OVERFLOW))
Review comment:
same
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[GitHub] [incubator-mxnet] Zha0q1 commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-743038392
@mxnet-bot run ci [unix-cpu]
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742893376
Jenkins CI successfully triggered : [unix-cpu, windows-gpu]
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-728277523
Hey @Zha0q1 , Thanks for submitting the PR
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[GitHub] [incubator-mxnet] Zha0q1 commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742737251
Thanks for reviewing! I just run the tests again locally, sample result:
```
ubuntu@ip-172-31-38-169:~/zhaoqispace$ pytest tests/nightly/test_np_large_array.py::test_triu
=============================================== test session starts ===============================================
platform linux -- Python 3.7.7, pytest-5.4.1, py-1.8.1, pluggy-0.13.1
rootdir: /home/ubuntu/zhaoqispace, inifile: pytest.ini
plugins: remotedata-0.3.2, openfiles-0.4.0, astropy-header-0.1.2, hypothesis-5.8.3, arraydiff-0.3, doctestplus-0.5.0
collected 1 item
tests/nightly/test_np_large_array.py . [100%]
================================================ warnings summary =================================================
tests/nightly/test_np_large_array.py:91
/home/ubuntu/zhaoqispace/tests/nightly/test_np_large_array.py:91: DeprecationWarning: invalid escape sequence \
'''
tests/nightly/test_np_large_array.py:1534
/home/ubuntu/zhaoqispace/tests/nightly/test_np_large_array.py:1534: DeprecationWarning: invalid escape sequence \
'''
-- Docs: https://docs.pytest.org/en/latest/warnings.html
==================================== 1 passed, 2 warnings in 87.33s (0:01:27) ====================================
```
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-743038458
Jenkins CI successfully triggered : [unix-cpu]
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[GitHub] [incubator-mxnet] Zha0q1 commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
Zha0q1 commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-742893334
@mxnet-bot run ci [unix-cpu, windows-gpu]
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[GitHub] [incubator-mxnet] access2rohit commented on pull request #19541: NP Large tensor tests batch 5
Posted by GitBox <gi...@apache.org>.
access2rohit commented on pull request #19541:
URL: https://github.com/apache/incubator-mxnet/pull/19541#issuecomment-741479930
Can you also paste the run log of these tests ? I have left few comments regarding reducing no. of variables to reduce memory used
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