joddiy commented on a change in pull request #586: Add GlobalAVGPool operator
for autograd and onnx
URL: https://github.com/apache/singa/pull/586#discussion_r372985903
##########
File path: test/python/test_operation.py
##########
@@ -2745,5 +2745,97 @@ def test_prelu_broadcast_cpu(self):
np.testing.assert_array_almost_equal(tensor.to_numpy(tensor.from_raw_tensor(dx0)),
grad0, decimal=5)
np.testing.assert_array_almost_equal(tensor.to_numpy(tensor.from_raw_tensor(dx1)),
grad1, decimal=5)
+ def test_globalaveragepool_cpu(self):
+ X = np.array([[[
+ [1, 2, 3],
+ [4, 5, 6],
+ [7, 8, 9],
+ ]]]).astype(np.float32)
+ XT = np.array([[[[5]]]]).astype(np.float32)
+ DY = np.ones((1, 1, 1, 1), dtype=np.float32)
+
+ x = tensor.from_numpy(X)
+ x.to_device(cpu_dev)
+ dy = tensor.from_numpy(DY)
+ dy.to_device(cpu_dev)
+
+ result = autograd.globalaveragepool(x)
+ dx = result.creator.backward(dy.data)
+
+ DX = np.ones(X.shape, dtype=np.float32)
+ DX = np.multiply(DX, DY) / np.prod(X.shape[2:])
+
+ 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_globalaveragepool_cpu_channel_last(self):
+ X = np.array([[
+ [[1], [2], [3]],
+ [[4], [5], [6]],
+ [[7], [8], [9]],
+ ]]).astype(np.float32)
+ XT = np.array([[[[5]]]]).astype(np.float32)
+ DY = np.ones((1, 1, 1, 1), dtype=np.float32)
+
+ x = tensor.from_numpy(X)
+ x.to_device(cpu_dev)
+ dy = tensor.from_numpy(DY)
+ dy.to_device(cpu_dev)
+
+ result = autograd.globalaveragepool(x, 'channel_last')
+ dx = result.creator.backward(dy.data)
+
+ DX = np.ones(X.shape, dtype=np.float32)
+ DX = np.multiply(DX, DY) / np.prod(X.shape[1:-1])
+
+ 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_globalaveragepool_gpu(self):
+ X = np.array([[[
Review comment:
fixed
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
