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samples: Print verbose error messages to stderr (openvinotoolkit#7795)
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* samples: Print verbose error messages to stderr

Printing error root cause is crucial for efficient debugging.
Moreover `stderr` may have different formatting in comparison
to `stdout` which improves readability.

Signed-off-by: Karol Trzcinski <[email protected]>

* fix code style pre-commit check

Co-authored-by: Vladimir Dudnik <[email protected]>
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@ktrzcinx @vladimir-dudnik
ktrzcinx and vladimir-dudnik authored Nov 10, 2021
1 parent 41f7893 commit 76994c6
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Showing 3 changed files with 144 additions and 54 deletions.
40 changes: 30 additions & 10 deletions samples/c/hello_classification/main.c
View file
Original file line number Diff line number Diff line change
Expand Up @@ -122,15 +122,19 @@ int main(int argc, char** argv) {
// -------------------------------------

IEStatusCode status = ie_core_create("", &core);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_core_create status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// Step 2. Read a model in OpenVINO Intermediate Representation (.xml and .bin
// files) or ONNX (.onnx file) format
status = ie_core_read_network(core, input_model, NULL, &network);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_core_read_network status %d, line %d\n", status, __LINE__);
goto err;
}
// check the network topology
status = ie_network_get_inputs_number(network, &network_input_size);
if (status != OK || network_input_size != 1) {
Expand All @@ -140,7 +144,7 @@ int main(int argc, char** argv) {

status = ie_network_get_outputs_number(network, &network_output_size);
if (status != OK || network_output_size != 1) {
printf("Sample supports topologies with 1 output only\n");
fprintf(stderr, "Sample supports topologies with 1 output only\n");
goto err;
}
// -----------------------------------------------------------------------------------------------------
Expand All @@ -151,40 +155,50 @@ int main(int argc, char** argv) {
// -----------------------------------------------------

status = ie_network_get_input_name(network, 0, &input_name);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_network_get_input_name status %d, line %d\n", status, __LINE__);
goto err;
}
/* Mark input as resizable by setting of a resize algorithm.
* In this case we will be able to set an input blob of any shape to an infer
* request. Resize and layout conversions are executed automatically during
* inference */
status |= ie_network_set_input_resize_algorithm(network, input_name, RESIZE_BILINEAR);
status |= ie_network_set_input_layout(network, input_name, NHWC);
status |= ie_network_set_input_precision(network, input_name, U8);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_network_set_input_* status %d, line %d\n", status, __LINE__);
goto err;
}

// --------------------------- Prepare output blobs
// ----------------------------------------------------
status |= ie_network_get_output_name(network, 0, &output_name);
status |= ie_network_set_output_precision(network, output_name, FP32);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_network_get_output_* status %d, line %d\n", status, __LINE__);
goto err;
}

// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 4. Loading model to the device
// ------------------------------------------
ie_config_t config = {NULL, NULL, NULL};
status = ie_core_load_network(core, network, device_name, &config, &exe_network);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_core_load_network status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 5. Create infer request
// -------------------------------------------------
status = ie_exec_network_create_infer_request(exe_network, &infer_request);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_exec_network_create_infer_request status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 6. Prepare input
Expand All @@ -201,28 +215,34 @@ int main(int argc, char** argv) {
// memory
status = ie_blob_make_memory_from_preallocated(&tensorDesc, img.mat_data, size, &imgBlob);
if (status != OK) {
fprintf(stderr, "ERROR ie_blob_make_memory_from_preallocated status %d, line %d\n", status, __LINE__);
image_free(&img);
goto err;
}
// infer_request accepts input blob of any size

status = ie_infer_request_set_blob(infer_request, input_name, imgBlob);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_infer_request_set_blob status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 7. Do inference
// --------------------------------------------------------
/* Running the request synchronously */
status = ie_infer_request_infer(infer_request);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_infer_request_infer status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 8. Process output
// ------------------------------------------------------
status = ie_infer_request_get_blob(infer_request, output_name, &output_blob);
if (status != OK) {
fprintf(stderr, "ERROR ie_infer_request_get_blob status %d, line %d\n", status, __LINE__);
image_free(&img);
goto err;
}
Expand Down
56 changes: 42 additions & 14 deletions samples/c/hello_nv12_input_classification/main.c
View file
Original file line number Diff line number Diff line change
Expand Up @@ -178,8 +178,10 @@ int main(int argc, char** argv) {
}

size_t input_width = 0, input_height = 0, img_size = 0;
if (!is_supported_image_size(argv[3], &input_width, &input_height))
if (!is_supported_image_size(argv[3], &input_width, &input_height)) {
fprintf(stderr, "ERROR is_supported_image_size, line %d\n", __LINE__);
return EXIT_FAILURE;
}

const char* input_model = argv[1];
const char* input_image_path = argv[2];
Expand All @@ -196,24 +198,30 @@ int main(int argc, char** argv) {
// --------------------------- Step 1. Initialize inference engine core
// -------------------------------------
IEStatusCode status = ie_core_create("", &core);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_core_create status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// Step 2. Read a model in OpenVINO Intermediate Representation (.xml and .bin
// files) or ONNX (.onnx file) format
status = ie_core_read_network(core, input_model, NULL, &network);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_core_read_network status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 3. Configure input & output
// ---------------------------------------------
// --------------------------- Prepare input blobs
// -----------------------------------------------------
status = ie_network_get_input_name(network, 0, &input_name);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_network_get_input_name status %d, line %d\n", status, __LINE__);
goto err;
}

/* Mark input as resizable by setting of a resize algorithm.
* In this case we will be able to set an input blob of any shape to an infer
Expand All @@ -226,42 +234,54 @@ int main(int argc, char** argv) {
// pre-processing
status |= ie_network_set_color_format(network, input_name, NV12);

if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_network_set_input_* status %d, line %d\n", status, __LINE__);
goto err;
}

// --------------------------- Prepare output blobs
// ----------------------------------------------------
status |= ie_network_get_output_name(network, 0, &output_name);
status |= ie_network_set_output_precision(network, output_name, FP32);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_network_set_output_* status %d, line %d\n", status, __LINE__);
goto err;
}

// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 4. Loading model to the device
// ------------------------------------------
ie_config_t config = {NULL, NULL, NULL};
status = ie_core_load_network(core, network, device_name, &config, &exe_network);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_core_load_network status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 5. Create infer request
// -------------------------------------------------
status = ie_exec_network_create_infer_request(exe_network, &infer_request);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_exec_network_create_infer_request status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 6. Prepare input
// -------------------------------------------------------- read image with
// size converted to NV12 data size: height(NV12) = 3 / 2 * logical height
img_size = input_width * (input_height * 3 / 2);
img_data = (unsigned char*)calloc(img_size, sizeof(unsigned char));
if (NULL == img_data)
if (NULL == img_data) {
fprintf(stderr, "ERROR calloc returned NULL, line %d\n", __LINE__);
goto err;
if (img_size != read_image_from_file(input_image_path, img_data, img_size))
}
if (img_size != read_image_from_file(input_image_path, img_data, img_size)) {
fprintf(stderr, "ERROR ie_exec_network_create_infer_request `img_size` missmatch, line %d\n", __LINE__);
goto err;
}

// --------------------------- Create a blob to hold the NV12 input data
// ------------------------------- Create tensor descriptors for Y and UV
Expand All @@ -279,27 +299,35 @@ int main(int argc, char** argv) {
status |= ie_blob_make_memory_from_preallocated(&uv_tensor, img_data + y_plane_size, uv_plane_size, &uv_blob);
// Create NV12Blob from Y and UV blobs
status |= ie_blob_make_memory_nv12(y_blob, uv_blob, &nv12_blob);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_blob_make_memory_* status %d, line %d\n", status, __LINE__);
goto err;
}

status = ie_infer_request_set_blob(infer_request, input_name, nv12_blob);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_infer_request_set_blob status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 7. Do inference
// --------------------------------------------------------
/* Running the request synchronously */
status = ie_infer_request_infer(infer_request);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_infer_request_infer status %d, line %d\n", status, __LINE__);
goto err;
}
// -----------------------------------------------------------------------------------------------------

// --------------------------- Step 8. Process output
// ------------------------------------------------------
status = ie_infer_request_get_blob(infer_request, output_name, &output_blob);
if (status != OK)
if (status != OK) {
fprintf(stderr, "ERROR ie_infer_request_get_blob status %d, line %d\n", status, __LINE__);
goto err;
}

size_t class_num;
struct classify_res* cls = output_blob_to_classify_res(output_blob, &class_num);
Expand Down
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