RafLit commented on a change in pull request #20835:
URL: https://github.com/apache/incubator-mxnet/pull/20835#discussion_r795432242
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File path: tests/python/quantization/test_quantization.py
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@@ -945,6 +945,46 @@ def check_quantized_bn(data_shape, qdtype):
check_quantized_bn((32, 3, 224, 224), qdtype)
+def test_quantized_reshape():
+ test_cases = [((2, 3, 5, 5), (-2, -1), False, (2, 75)),
+ ((2, 3, 5, 5), (-2, -2, -1), False, (2, 3, 25)),
+ ((5, 3, 4, 5), (-2, -1, -2), False, (5, 15, 4)),
+ ((2, 3, 5, 4), (-1, -2, -2), False, (8, 3, 5)),
+ ((2, 3, 5, 5), (-2, -2, -2, -2), False, (2, 3, 5, 5)),
+ ((2, 1, 4, 5), (-2, -3, -2, -2), False, (2, 4, 5)),
+ ((1, 1, 4, 1), (-3, -3, -2, -2), False, (4, 1)),
+ ((1, 1, 1, 1), (-3, -3, -3, -3), False, ()),
+ ((2, 4, 5, 3), (-1, 2, 2, 1), False, (30, 2, 2, 1)),
+ ((2, 3, 5, 6), (-4,), False, (2, 3, 5, 6)),
+ ((2, 3, 5, 6), (6, 1, -4), False, (6, 1, 5, 6)),
+ ((2, 3, 5, 6), (-5, -5), False, (6, 30)),
+ ((2, 3, 5, 6), (-5, -1), False, (6, 30)),
+ ((64,), (-6, 16, 4), False, (16, 4)),
+ ((64,), (-6, 16, -1), False, (16, 4)),
+ ((64, 1, 2, 3), (-6, 16, -1, -4), False, (16, 4, 1, 2, 3)),
+ ((8, 5, 4, 6), (-4, -1, 3, -6), True, (8, 5, 4, 2, 3))]
+
+ def check_quantized_reshape(shape, qdtype, newshape, reverse,
expected_ret_shape):
+ if qdtype == 'uint8':
+ data_low = 0.0
+ data_high = 127.0
+ else:
+ data_low = -127.0
+ data_high = 127.0
+ qdata = mx.np.random.uniform(low=data_low, high=data_high,
size=shape).astype(qdtype)
+ min_data = mx.np.array([-1023.343], dtype='float32')
+ max_data = mx.np.array([2343.324275], dtype='float32')
+ qoutput, min_output, max_output = npx.quantized_reshape(qdata,
min_data, max_data, newshape=newshape, reverse=reverse)
+ assert qoutput.shape == expected_ret_shape
+ assert same(qdata.asnumpy().flatten(), qoutput.asnumpy().flatten())
Review comment:
is flatten necessary here?
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