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2 changes: 1 addition & 1 deletion .ci/scripts/test_model.sh
Original file line number Diff line number Diff line change
Expand Up @@ -222,7 +222,7 @@ test_model_with_coreml() {

DTYPE=float16

"${PYTHON_EXECUTABLE}" -m examples.apple.coreml.scripts.export --model_name="${MODEL_NAME}" --compute_precision "${DTYPE}"
"${PYTHON_EXECUTABLE}" -m examples.apple.coreml.scripts.export --model_name="${MODEL_NAME}" --compute_precision "${DTYPE}" --use_partitioner
EXPORTED_MODEL=$(find "." -type f -name "${MODEL_NAME}*.pte" -print -quit)

if [ -n "$EXPORTED_MODEL" ]; then
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Original file line number Diff line number Diff line change
Expand Up @@ -88,9 +88,17 @@
ET_LOG(Error, "%s: DataType=%d is not supported", ETCoreMLStrings.delegateIdentifier.UTF8String, (int)tensor.scalar_type());
return std::nullopt;
}

std::vector<ssize_t> strides(tensor.strides().begin(), tensor.strides().end());
std::vector<size_t> shape(tensor.sizes().begin(), tensor.sizes().end());

// If tensor is rank 0, wrap in rank 1
// See https://github.com/apple/coremltools/blob/8.2/coremltools/converters/mil/frontend/torch/exir_utils.py#L73
if (shape.size() == 0) {
shape.push_back(1);
strides.push_back(1);
}

MultiArray::MemoryLayout layout(dataType.value(), std::move(shape), std::move(strides));
switch (argType) {
case ArgType::Input: {
Expand Down Expand Up @@ -233,6 +241,12 @@ ModelLoggingOptions get_logging_options(BackendExecutionContext& context) {
std::array<SizesType, kTensorDimensionLimit> new_shape;
for (size_t i = nInputs; i < nInputs + nOutputs; i++) {
Tensor& t = args[i]->toTensor();
// If t has rank 0, do not resize. delegate_args[i] will have rank 1
// because we resized it in get_multi_array
if (t.dim() == 0) {
continue;
}

int rank = delegate_args[i].layout().rank();
assert (rank <= new_shape.size());
for (int d = 0; d < rank; d++) {
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Original file line number Diff line number Diff line change
Expand Up @@ -113,7 +113,7 @@ - (void)testAddModelExecution {
XCTAssertNotNil(inputs);
MLMultiArray *output = [ETCoreMLTestUtils filledMultiArrayWithShape:inputs[0].shape dataType:inputs[0].dataType repeatedValue:@(0) error:&localError];
NSArray<MLMultiArray *> *args = [inputs arrayByAddingObject:output];
XCTAssertTrue([self.modelManager executeModelWithHandle:handle
XCTAssertTrue([self.modelManager executeModelWithHandle:handle
args:args
loggingOptions:executorchcoreml::ModelLoggingOptions()
eventLogger:nullptr
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