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Arm backend: Don't crash when output is not a tensor #12109

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Jul 1, 2025
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Arm backend: Don't crash when output is not a tensor #12109

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105 changes: 52 additions & 53 deletions examples/arm/executor_runner/arm_executor_runner.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -650,36 +650,35 @@ int main(int argc, const char* argv[]) {

for (int i = 0; i < inputs.size(); ++i) {
if (inputs[i].isTensor()) {
Tensor t = inputs[i].toTensor();
Tensor tensor = inputs[i].toTensor();
// The output might be collected and parsed so printf() is used instead
// of ET_LOG() here
for (int j = 0; j < inputs[i].toTensor().numel(); ++j) {
if (t.scalar_type() == ScalarType::Int) {
for (int j = 0; j < tensor.numel(); ++j) {
if (tensor.scalar_type() == ScalarType::Int) {
printf(
"Input[%d][%d]: (int) %d\n",
i,
j,
inputs[i].toTensor().const_data_ptr<int>()[j]);
} else if (t.scalar_type() == ScalarType::Float) {
tensor.const_data_ptr<int>()[j]);
} else if (tensor.scalar_type() == ScalarType::Float) {
printf(
"Input[%d][%d]: (float) %f\n",
i,
j,
inputs[i].toTensor().const_data_ptr<float>()[j]);
} else if (t.scalar_type() == ScalarType::Char) {
tensor.const_data_ptr<float>()[j]);
} else if (tensor.scalar_type() == ScalarType::Char) {
printf(
"Input[%d][%d]: (char) %d\n",
i,
j,
inputs[i].toTensor().const_data_ptr<int8_t>()[j]);
} else if (t.scalar_type() == ScalarType::Bool) {
tensor.const_data_ptr<int8_t>()[j]);
} else if (tensor.scalar_type() == ScalarType::Bool) {
printf(
"Input[%d][%d]: (bool) %s (0x%x)\n",
i,
j,
inputs[i].toTensor().const_data_ptr<int8_t>()[j] ? "true"
: "false",
inputs[i].toTensor().const_data_ptr<int8_t>()[j]);
tensor.const_data_ptr<int8_t>()[j] ? "true" : "false",
tensor.const_data_ptr<int8_t>()[j]);
}
}
} else {
Expand Down Expand Up @@ -754,53 +753,53 @@ int main(int argc, const char* argv[]) {

// Print the outputs.
for (int i = 0; i < outputs.size(); ++i) {
Tensor t = outputs[i].toTensor();
if (outputs[i].isTensor()) {
Tensor tensor = outputs[i].toTensor();
#if !defined(SEMIHOSTING)
#if defined(ET_DUMP_OUTPUT)
// The output might be collected and parsed so printf() is used instead
// of ET_LOG() here
for (int j = 0; j < outputs[i].toTensor().numel(); ++j) {
if (t.scalar_type() == ScalarType::Int) {
printf(
"Output[%d][%d]: (int) %d\n",
i,
j,
outputs[i].toTensor().const_data_ptr<int>()[j]);
} else if (t.scalar_type() == ScalarType::Float) {
printf(
"Output[%d][%d]: (float) %f\n",
i,
j,
outputs[i].toTensor().const_data_ptr<float>()[j]);
} else if (t.scalar_type() == ScalarType::Char) {
printf(
"Output[%d][%d]: (char) %d\n",
i,
j,
outputs[i].toTensor().const_data_ptr<int8_t>()[j]);
} else if (t.scalar_type() == ScalarType::Bool) {
printf(
"Output[%d][%d]: (bool) %s (0x%x)\n",
i,
j,
outputs[i].toTensor().const_data_ptr<int8_t>()[j] ? "true "
: "false",
outputs[i].toTensor().const_data_ptr<int8_t>()[j]);
// The output might be collected and parsed so printf() is used instead
// of ET_LOG() here
for (int j = 0; j < tensor.numel(); ++j) {
if (tensor.scalar_type() == ScalarType::Int) {
printf(
"Output[%d][%d]: (int) %d\n",
i,
j,
tensor.const_data_ptr<int>()[j]);
} else if (tensor.scalar_type() == ScalarType::Float) {
printf(
"Output[%d][%d]: (float) %f\n",
i,
j,
tensor.const_data_ptr<float>()[j]);
} else if (tensor.scalar_type() == ScalarType::Char) {
printf(
"Output[%d][%d]: (char) %d\n",
i,
j,
tensor.const_data_ptr<int8_t>()[j]);
} else if (tensor.scalar_type() == ScalarType::Bool) {
printf(
"Output[%d][%d]: (bool) %s (0x%x)\n",
i,
j,
tensor.const_data_ptr<int8_t>()[j] ? "true " : "false",
tensor.const_data_ptr<int8_t>()[j]);
}
}
}
#endif
#else
char out_filename[255];
snprintf(out_filename, 255, "%s-%d.bin", output_basename, i);
ET_LOG(Info, "Writing output to file: %s", out_filename);
FILE* out_file = fopen(out_filename, "wb");
auto written_size = fwrite(
outputs[i].toTensor().const_data_ptr<char>(),
1,
outputs[i].toTensor().nbytes(),
out_file);
fclose(out_file);
char out_filename[255];
snprintf(out_filename, 255, "%s-%d.bin", output_basename, i);
ET_LOG(Info, "Writing output to file: %s", out_filename);
FILE* out_file = fopen(out_filename, "wb");
auto written_size =
fwrite(tensor.const_data_ptr<char>(), 1, tensor.nbytes(), out_file);
fclose(out_file);
#endif
} else {
printf("Output[%d]: Not Tensor\n", i);
}
}

#if defined(ET_EVENT_TRACER_ENABLED)
Expand Down
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