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[HuaweiAscendNPU] Fix adaptive_max_pool2d #10140

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Mar 29, 2023
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,6 @@ int ConvertAdaptivePool2D(Converter* converter, core::Operation* operation) {
input_operator = converter->ConvertOperand(input_operand);
}
if (operation->type == NNADAPTER_ADAPTIVE_MAX_POOL_2D) {
#if NNADAPTER_HUAWEI_ASCEND_NPU_CANN_VERSION_LESS_THAN(5, 1, 1)
auto pool2d_op =
converter->AddOperator<ge::op::AdaptiveMaxPool2d>(output_operand);
pool2d_op->set_attr_output_size(
Expand Down Expand Up @@ -60,10 +59,6 @@ int ConvertAdaptivePool2D(Converter* converter, core::Operation* operation) {
SET_INPUT(dummy_add_op, x1, adaptive_pool2d_operator);
SET_INPUT(dummy_add_op, x2, dummy_sub_operator);
MAP_OUTPUT(dummy_add_op, y, output_operand);
#else
NNADAPTER_LOG(FATAL) << "AdaptiveMaxPool2d has bugs when CANN >= 5.1.rc1, "
"it will be fixed later";
#endif
} else {
auto pool2d_op =
converter->AddOperator<ge::op::AdaptiveAvgPool2d>(output_operand);
Expand Down
3 changes: 1 addition & 2 deletions lite/tests/kernels/adaptive_pool_compute_test.cc
Original file line number Diff line number Diff line change
Expand Up @@ -154,7 +154,7 @@ void TestAdaptiveAveragePool2D(Place place, float abs_error = 2e-5) {
}

void TestAdaptiveMaxPool2D(Place place, float abs_error = 2e-5) {
for (auto dims : std::vector<std::vector<int64_t>>{{2, 3, 4, 5}}) {
for (auto dims : std::vector<std::vector<int64_t>>{{2, 3, 6, 6}}) {
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非对称单测用例会出现问题。

std::unique_ptr<arena::TestCase> tester(
new AdaptivePoolTester(place, "def", DDim(dims), "max", false));
arena::Arena arena(std::move(tester), place, abs_error);
Expand Down Expand Up @@ -192,7 +192,6 @@ TEST(AdaptiveMaxPool2D, precision) {
place = TARGET(kNNAdapter);
#if defined(NNADAPTER_WITH_HUAWEI_ASCEND_NPU)
abs_error = 1e-2;
return;
#else
return;
#endif
Expand Down