blob: c33716be6797d8708161a763fc7de72ffb3970ef [file] [log] [blame] [edit]
/*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <executorch/extension/runner_util/inputs.h>
#include <executorch/runtime/executor/method.h>
#include <executorch/runtime/executor/method_meta.h>
#include <executorch/runtime/platform/log.h>
using executorch::runtime::Error;
using executorch::runtime::Method;
using executorch::runtime::MethodMeta;
using executorch::runtime::Result;
using executorch::runtime::Tag;
using executorch::runtime::TensorInfo;
namespace executorch {
namespace extension {
Result<BufferCleanup> prepare_input_tensors(Method& method) {
MethodMeta method_meta = method.method_meta();
size_t num_inputs = method_meta.num_inputs();
size_t num_allocated = 0;
void** inputs = (void**)malloc(num_inputs * sizeof(void*));
for (size_t i = 0; i < num_inputs; i++) {
auto tag = method_meta.input_tag(i);
if (!tag.ok()) {
BufferCleanup cleanup({inputs, num_allocated});
return tag.error();
}
if (tag.get() != Tag::Tensor) {
ET_LOG(Debug, "Skipping non-tensor input %zu", i);
continue;
}
Result<TensorInfo> tensor_meta = method_meta.input_tensor_meta(i);
if (!tensor_meta.ok()) {
return tensor_meta.error();
}
// This input is a tensor. Allocate a buffer for it.
void* data_ptr = malloc(tensor_meta->nbytes());
inputs[num_allocated++] = data_ptr;
// Create the tensor and set it as the input.
Error err =
internal::fill_and_set_input(method, tensor_meta.get(), i, data_ptr);
if (err != Error::Ok) {
ET_LOG(
Error, "Failed to prepare input %zu: 0x%" PRIx32, i, (uint32_t)err);
// The BufferCleanup will free the inputs when it goes out of scope.
BufferCleanup cleanup({inputs, num_allocated});
return err;
}
}
return BufferCleanup({inputs, num_allocated});
}
} // namespace extension
} // namespace executorch