[GitHub] [incubator-singa] nudles commented on a change in pull request #508: SINGA-474 transpose operator

2019-08-14 Thread GitBox
nudles commented on a change in pull request #508: SINGA-474 transpose operator
URL: https://github.com/apache/incubator-singa/pull/508#discussion_r313763362
 
 

 ##
 File path: test/python/test_operation.py
 ##
 @@ -992,18 +992,55 @@ def test_Sqrt_gpu(self):
 np.testing.assert_array_almost_equal(tensor.to_numpy(result), XT, 
decimal=5)
 
np.testing.assert_array_almost_equal(tensor.to_numpy(tensor.from_raw_tensor(dx)),
 DX, decimal=5)
 
+
+def test_transpose_cpu(self):
+x = 
np.array([0.1,-1.0,0.4,4.0,-0.9,9.0]).reshape(3,2,1).astype(np.float32)
+y = x.transpose(1,2,0)
+dy = np.ones(y.shape, dtype = np.float32)
+grad = np.ones((3,2,1), dtype = np.float32)
 
 Review comment:
   what is grad?
   why not use numpy transpose to get grad from dy?


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[GitHub] [incubator-singa] nudles commented on a change in pull request #508: SINGA-474 transpose operator

2019-08-14 Thread GitBox
nudles commented on a change in pull request #508: SINGA-474 transpose operator
URL: https://github.com/apache/incubator-singa/pull/508#discussion_r313763362
 
 

 ##
 File path: test/python/test_operation.py
 ##
 @@ -992,18 +992,55 @@ def test_Sqrt_gpu(self):
 np.testing.assert_array_almost_equal(tensor.to_numpy(result), XT, 
decimal=5)
 
np.testing.assert_array_almost_equal(tensor.to_numpy(tensor.from_raw_tensor(dx)),
 DX, decimal=5)
 
+
+def test_transpose_cpu(self):
+x = 
np.array([0.1,-1.0,0.4,4.0,-0.9,9.0]).reshape(3,2,1).astype(np.float32)
+y = x.transpose(1,2,0)
+dy = np.ones(y.shape, dtype = np.float32)
+grad = np.ones((3,2,1), dtype = np.float32)
 
 Review comment:
   what is grad?


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[GitHub] [incubator-singa] nudles commented on a change in pull request #508: SINGA-474 transpose operator

2019-08-14 Thread GitBox
nudles commented on a change in pull request #508: SINGA-474 transpose operator
URL: https://github.com/apache/incubator-singa/pull/508#discussion_r313762539
 
 

 ##
 File path: test/python/test_operation.py
 ##
 @@ -992,18 +992,55 @@ def test_Sqrt_gpu(self):
 np.testing.assert_array_almost_equal(tensor.to_numpy(result), XT, 
decimal=5)
 
np.testing.assert_array_almost_equal(tensor.to_numpy(tensor.from_raw_tensor(dx)),
 DX, decimal=5)
 
+
+def test_transpose_cpu(self):
+x = 
np.array([0.1,-1.0,0.4,4.0,-0.9,9.0]).reshape(3,2,1).astype(np.float32)
+y = x.transpose(1,2,0)
+dy = np.ones(y.shape, dtype = np.float32)
+grad = np.ones((3,2,1), dtype = np.float32)
 
 Review comment:
   use np.random.rand


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