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wasi_nn_openvino.c: remove pre/postprocessing and layout assumptions (#4361)

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as wasi-nn doesn't have these concepts, the best we can do without
risking breaking certain applications here is to pass through tensors
as they are.

this matches wasmtime's behavior.

tested with:

* wasmtime classification-example
  (with this change, this example fails on tensor size mismatch
  instead of implicitly resizing it.)

* license-plate-recognition-barrier-0007, a converted version
  with non-fp32 output. [1]
  (with this change, this model outputs integers as expected.)

[1] cd7ebe313b/models/public/license-plate-recognition-barrier-0007
This commit is contained in:
YAMAMOTO Takashi 2025-06-17 14:01:46 +09:00 committed by GitHub
parent 6dfb410869
commit c9b8c16088
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GPG Key ID: B5690EEEBB952194
1 changed files with 2 additions and 81 deletions
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83
core/iwasm/libraries/wasi-nn/src/wasi_nn_openvino.c
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@ -32,8 +32,6 @@ typedef struct {
void *weight_data;
ov_tensor_t *weights_tensor;
ov_model_t *model;
/* add prepostprocess */
ov_model_t *new_model;
ov_compiled_model_t *compiled_model;
ov_infer_request_t *infer_request;
ov_tensor_t *input_tensor;
@ -284,16 +282,6 @@ set_input(void *ctx, graph_execution_context exec_ctx, uint32_t index,
ov_shape_t input_shape = { 0 };
int64_t *ov_dims = NULL;
ov_preprocess_prepostprocessor_t *ppp = NULL;
ov_preprocess_input_info_t *input_info = NULL;
ov_preprocess_input_tensor_info_t *input_tensor_info = NULL;
ov_layout_t *input_layout = NULL;
ov_preprocess_preprocess_steps_t *input_process = NULL;
ov_preprocess_input_model_info_t *p_input_model = NULL;
ov_layout_t *model_layout = NULL;
ov_preprocess_output_info_t *output_info = NULL;
ov_preprocess_output_tensor_info_t *output_tensor_info = NULL;
/* wasi_nn_tensor -> ov_tensor */
{
ret = uint32_array_to_int64_array(wasi_nn_tensor->dimensions->size,
@ -322,57 +310,8 @@ set_input(void *ctx, graph_execution_context exec_ctx, uint32_t index,
ret);
}
/* set preprocess based on wasi_nn_tensor */
{
CHECK_OV_STATUS(
ov_preprocess_prepostprocessor_create(ov_ctx->model, &ppp), ret);
/* reuse user' created tensor's info */
CHECK_OV_STATUS(ov_preprocess_prepostprocessor_get_input_info_by_index(
ppp, index, &input_info),
ret);
CHECK_OV_STATUS(ov_preprocess_input_info_get_tensor_info(
input_info, &input_tensor_info),
ret);
CHECK_OV_STATUS(ov_preprocess_input_tensor_info_set_from(
input_tensor_info, ov_ctx->input_tensor),
ret);
/* add RESIZE */
CHECK_OV_STATUS(ov_preprocess_input_info_get_preprocess_steps(
input_info, &input_process),
ret);
CHECK_OV_STATUS(
ov_preprocess_preprocess_steps_resize(input_process, RESIZE_LINEAR),
ret);
/* input model */
CHECK_OV_STATUS(
ov_preprocess_input_info_get_model_info(input_info, &p_input_model),
ret);
// TODO: what if not?
CHECK_OV_STATUS(ov_layout_create("NCHW", &model_layout), ret);
CHECK_OV_STATUS(ov_preprocess_input_model_info_set_layout(p_input_model,
model_layout),
ret);
/* output -> F32(possibility) */
CHECK_OV_STATUS(ov_preprocess_prepostprocessor_get_output_info_by_index(
ppp, index, &output_info),
ret);
CHECK_OV_STATUS(ov_preprocess_output_info_get_tensor_info(
output_info, &output_tensor_info),
ret);
CHECK_OV_STATUS(
ov_preprocess_output_set_element_type(output_tensor_info, F32),
ret);
CHECK_OV_STATUS(
ov_preprocess_prepostprocessor_build(ppp, &ov_ctx->new_model), ret);
}
CHECK_OV_STATUS(ov_core_compile_model(ov_ctx->core, ov_ctx->new_model,
"CPU", 0, &ov_ctx->compiled_model),
CHECK_OV_STATUS(ov_core_compile_model(ov_ctx->core, ov_ctx->model, "CPU", 0,
&ov_ctx->compiled_model),
ret);
CHECK_OV_STATUS(ov_compiled_model_create_infer_request(
@ -389,24 +328,6 @@ fail:
if (ov_dims)
os_free(ov_dims);
ov_shape_free(&input_shape);
if (ppp)
ov_preprocess_prepostprocessor_free(ppp);
if (input_info)
ov_preprocess_input_info_free(input_info);
if (input_tensor_info)
ov_preprocess_input_tensor_info_free(input_tensor_info);
if (input_layout)
ov_layout_free(input_layout);
if (input_process)
ov_preprocess_preprocess_steps_free(input_process);
if (p_input_model)
ov_preprocess_input_model_info_free(p_input_model);
if (model_layout)
ov_layout_free(model_layout);
if (output_info)
ov_preprocess_output_info_free(output_info);
if (output_tensor_info)
ov_preprocess_output_tensor_info_free(output_tensor_info);
return ret;
}