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[Op Conformance] Update compare accuracy function #21783
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Original file line number | Diff line number | Diff line change |
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@@ -305,11 +305,24 @@ ov::runtime::Tensor create_and_fill_tensor_consistently(const ov::element::Type | |
constexpr double eps = std::numeric_limits<double>::epsilon(); | ||
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inline double less(double a, double b) { | ||
return (b - a) > (std::fmax(std::fabs(a), std::fabs(b)) * eps); | ||
return std::fabs(a - b) > eps && a < b; | ||
} | ||
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inline double less_or_equal(double a, double b) { | ||
return (b - a) >= (std::fmax(std::fabs(a), std::fabs(b)) * eps); | ||
bool res = true; | ||
if (std::isnan(a) || std::isnan(b)) { | ||
res = false; | ||
} else if (std::isinf(b) && b > 0) { | ||
// b is grater than any number or eq the +Inf | ||
res = true; | ||
} else if (std::isinf(a) && a > 0) { | ||
res = false; | ||
} else { | ||
res = (std::fabs(b - a) <= (std::fmax(std::fabs(a), std::fabs(b)) * eps) || a < b); | ||
} | ||
double eq_midle_res = std::fabs(b - a); | ||
bool eq_res = (std::fabs(b - a) <= (std::fmax(std::fabs(a), std::fabs(b)) * eps)); | ||
return res; | ||
} | ||
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struct Error { | ||
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@@ -369,13 +382,33 @@ void compare(const ov::Tensor& expected, | |
if (abs_threshold == std::numeric_limits<double>::max() && rel_threshold == std::numeric_limits<double>::max()) { | ||
if (sizeof(ExpectedT) == 1 || sizeof(ActualT) == 1) { | ||
abs_threshold = 1.; | ||
rel_threshold = 1.; | ||
if (expected.get_element_type() == ov::element::Type_t::boolean) { | ||
abs_threshold = 0.; | ||
rel_threshold = 0.; | ||
} | ||
} else { | ||
std::vector<double> abs_values(shape_size_cnt); | ||
for (size_t i = 0; i < shape_size_cnt; i++) { | ||
abs_values[i] = std::fabs(static_cast<double>(expected_data[i])); | ||
} | ||
auto abs_median = calculate_median(abs_values); | ||
auto elem_type = expected.get_element_type(); | ||
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abs_threshold = abs_median * 0.05 < 1e-5 ? 1e-5 : 0.05 * abs_median; | ||
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if (elem_type == ov::element::Type_t::boolean) { | ||
abs_threshold = 0.; | ||
} else if (elem_type.is_integral_number()) { | ||
abs_threshold = 1.0; | ||
} else if (elem_type == ov::element::Type_t::f32 || elem_type == ov::element::Type_t::f64) { | ||
abs_threshold = abs_median * 0.05 < 1e-5 ? 1e-5 : 0.05 * abs_median; | ||
} else if (elem_type == ov::element::Type_t::bf16 || elem_type == ov::element::Type_t::f16) { | ||
abs_threshold = abs_median * 0.05 < 1e-3 ? 1e-3 : 0.05 * abs_median; | ||
} | ||
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rel_threshold = abs_threshold; | ||
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if (std::is_integral<ExpectedT>::value) { | ||
abs_threshold = std::ceil(abs_threshold); | ||
} | ||
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@@ -388,10 +421,21 @@ void compare(const ov::Tensor& expected, | |
std::cout << "[ COMPARATION ] abs_threshold: " << abs_threshold << std::endl; | ||
} | ||
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auto max_type_expected = std::numeric_limits<ExpectedT>::max(); | ||
auto max_type_actual = std::numeric_limits<ActualT>::max(); | ||
auto min_type_expected = std::numeric_limits<ExpectedT>::min(); | ||
auto min_type_actual = std::numeric_limits<ActualT>::min(); | ||
Error abs_error(abs_threshold), rel_error(rel_threshold); | ||
for (size_t i = 0; i < shape_size_cnt; ++i) { | ||
double expected_value = expected_data[i]; | ||
double actual_value = actual_data[i]; | ||
if ((std::isinf(expected_value) || expected_value >= max_type_expected) && | ||
(std::isinf(actual_value) || actual_value >= max_type_actual)) { | ||
continue; | ||
} else if ((std::isinf(expected_value) || expected_value <= min_type_expected) && | ||
(std::isinf(actual_value) || actual_value <= min_type_actual)) { | ||
continue; | ||
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} | ||
if (std::isnan(expected_value) && std::isnan(actual_value)) | ||
continue; | ||
if (std::isnan(expected_value)) { | ||
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@@ -406,15 +450,15 @@ void compare(const ov::Tensor& expected, | |
} | ||
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double abs = std::fabs(expected_value - actual_value); | ||
double rel = expected_value ? (abs / std::fabs(expected_value)) : abs; | ||
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double rel = | ||
expected_value && actual_value && !std::isinf(expected_value) ? (abs / std::fabs(expected_value)) : 0; | ||
abs_error.update(abs, i); | ||
rel_error.update(rel, i); | ||
} | ||
abs_error.mean /= shape_size_cnt; | ||
rel_error.mean /= shape_size_cnt; | ||
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if (!(less_or_equal(abs_error.max, abs_threshold) && less_or_equal(rel_error.max, rel_threshold))) { | ||
if (!(less_or_equal(abs_error.max, abs_threshold) || less_or_equal(rel_error.mean, rel_threshold))) { | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @iefode This PR leads to some failures of plugin unit test pass. Would you please check again? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @ceciliapeng2011 In your case, please update your branch to latest master. Commit was reverted |
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std::ostringstream out_stream; | ||
out_stream << "abs_max < abs_threshold && rel_max < rel_threshold" | ||
<< "\n\t abs_max: " << abs_error.max << "\n\t\t coordinate " << abs_error.max_coordinate | ||
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@sbalandi Please check the changes on all platforms and skip tests per platform (in case some test is failed only on one platform)