Add numpy.logaddexp to openvino backend #21043
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Additional details and impacted files@@ Coverage Diff @@
## master #21043 +/- ##
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- Coverage 82.47% 82.44% -0.04%
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Files 563 563
Lines 53834 53857 +23
Branches 8359 8362 +3
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+ Hits 44401 44402 +1
- Misses 7392 7414 +22
Partials 2041 2041
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keras/src/backend/openvino/numpy.py
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| x1 = get_ov_output(x1, element_type) | ||
| x2 = get_ov_output(x2, element_type) | ||
| x1, x2 = _align_operand_types(x1, x2, "logaddexp()") | ||
| x_type = x1.get_element_type() | ||
| if x_type.is_integral(): | ||
| ov_type = OPENVINO_DTYPES[config.floatx()] | ||
| x1 = ov_opset.convert(x1, ov_type) | ||
| x2 = ov_opset.convert(x2, ov_type) | ||
| exp_x1 = ov_opset.exp(x1).output(0) | ||
| exp_x2 = ov_opset.exp(x2).output(0) | ||
| sum_exp = ov_opset.add(exp_x1, exp_x2).output(0) |
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I propose to make it more numerical stable for big x1 and x2 numbers:
ln(e^x1 + e^x2) = ln (e^k(e^(x1-k) + e^(x2-k))) = k ln (e^(x1-k) + e^(x2-k)), where k is maximum from x1 and x2. pay attention that by this trick x1-k and x2-k will be less than one that provides more compute stable for exponent that outputs non-negative value less than one that is better represented for floating point.
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Good catch on compute stability. I have made the changes
| @@ -848,9 +848,23 @@ def log2(x): | |||
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please switch on tests for this functionality.
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In issue you mentioned ./keras/src/ops/numpy_test.py for testing. I initially thought that tests automatically invoke the numpy from correct backend. But on tracking knp imports in numpy_test file they seem to come from ./keras/src/backend/numpy module instead of openvino. I verify this by executing tests without implementing logaddexp() and they PASSED (a number of other unimplemented functions inside ./keras/src/backend/openvino/numpy.py also pass). What should I change exactly to test the function in current test setup?
Adds numpy.logaddexp function to OpenVino backend. Fixes 29489