sbodenstein commented on a change in pull request #12035: Pad Operator Type
Support
URL: https://github.com/apache/incubator-mxnet/pull/12035#discussion_r211077059
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File path: tests/python/unittest/test_operator.py
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@@ -2905,37 +2905,46 @@ def test_roipooling():
numeric_eps=1e-4, rtol=1e-1, atol=1E-4)
-def check_pad_with_shape(shape, xpu, pad_width, mode):
+def check_pad_with_shape(shape, xpu, pad_width, mode, dtype="float64"):
# bind with label
- X = mx.symbol.Variable('X')
+ real_types = ["float16", "float32", "float64"]
+ X = mx.symbol.Variable('X', dtype=dtype)
Y = mx.symbol.Pad(data=X, mode=mode, pad_width=pad_width)
- x = mx.random.uniform(-1, 1, shape, ctx=mx.cpu()).copyto(xpu)
+ if dtype in real_types:
+ x = mx.random.uniform(-1, 1, shape, ctx=mx.cpu(),
dtype=dtype).copyto(xpu)
+ else:
+ x = mx.nd.ones(shape, ctx=mx.cpu(), dtype=dtype).copyto(xpu)
# numpy result
pad_grouped = list(zip(*[iter(list(pad_width))] * 2))
np_out = np.pad(x.asnumpy(), pad_grouped, mode)
# mxnet result
- grad = mx.nd.empty(shape, ctx = xpu)
+ grad = mx.nd.empty(shape, ctx = xpu, dtype=dtype)
exec1 = Y.bind(xpu, args = [x], args_grad = {'X': grad})
exec1.forward(is_train=True)
out = exec1.outputs[0].asnumpy()
# compare numpy + mxnet
assert_almost_equal(out, np_out)
# grad check
- check_numeric_gradient(Y, [x.asnumpy()], numeric_eps=1e-2, rtol=1e-2)
+ if dtype in real_types:
+ check_numeric_gradient(Y, [x.asnumpy()], numeric_eps=1e-2, rtol=1e-2)
@with_seed()
def test_pad():
+ ct = default_context()
shape1 = (2, 3, 3, 5)
pad1 = (0, 0, 0, 0, 1, 2, 3, 4)
shape2 = (2, 3, 3, 5, 4)
pad2 = (0, 0, 0, 0, 1, 2, 3, 4, 3, 1)
- check_pad_with_shape(shape1, default_context(), pad1, 'constant')
- check_pad_with_shape(shape1, default_context(), pad1, 'edge')
- check_pad_with_shape(shape2, default_context(), pad2, 'constant')
- check_pad_with_shape(shape2, default_context(), pad2, 'edge')
- check_pad_with_shape(shape1, default_context(), pad1, 'reflect')
- check_pad_with_shape(shape2, default_context(), pad2, 'reflect')
+ # note: this op doesn't support ints yet. Add tests when supported
+ test_types = ["float32", "float64", "float16"]
+ for d in test_types:
Review comment:
Changed.
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