mirrors/gstreamer
mirrors/gstreamer
1
1
Fork 0
mirror of https://gitlab.freedesktop.org/gstreamer/gstreamer.git synced 2024-11-21 17:21:13 +00:00
Code Issues 1 Projects Releases Wiki Activity

tensors: Use full GstTensorDataType type name in type members

Browse source 
Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/6000>
This commit is contained in:
Olivier Crête 2024-11-04 17:04:28 -05:00 committed by GStreamer Marge Bot
parent e01a3b1d79
commit 4295386804
4 changed files with 44 additions and 44 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

26
subprojects/gst-plugins-bad/ext/onnx/gstonnxclient.cpp
View file

@ -53,7 +53,7 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
dest (nullptr),
m_provider (GST_ONNX_EXECUTION_PROVIDER_CPU),
inputImageFormat (GST_ML_INPUT_IMAGE_FORMAT_HWC),
inputDatatype (GST_TENSOR_TYPE_UINT8),
inputDatatype (GST_TENSOR_DATA_TYPE_UINT8),
inputDatatypeSize (sizeof (uint8_t)),
fixedInputImageSize (false),
inputTensorOffset (0.0),
@ -100,22 +100,22 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
{
inputDatatype = datatype;
switch (inputDatatype) {
case GST_TENSOR_TYPE_UINT8:
case GST_TENSOR_DATA_TYPE_UINT8:
inputDatatypeSize = sizeof (uint8_t);
break;
case GST_TENSOR_TYPE_UINT16:
case GST_TENSOR_DATA_TYPE_UINT16:
inputDatatypeSize = sizeof (uint16_t);
break;
case GST_TENSOR_TYPE_UINT32:
case GST_TENSOR_DATA_TYPE_UINT32:
inputDatatypeSize = sizeof (uint32_t);
break;
case GST_TENSOR_TYPE_INT32:
case GST_TENSOR_DATA_TYPE_INT32:
inputDatatypeSize = sizeof (int32_t);
break;
case GST_TENSOR_TYPE_FLOAT16:
case GST_TENSOR_DATA_TYPE_FLOAT16:
inputDatatypeSize = 2;
break;
case GST_TENSOR_TYPE_FLOAT32:
case GST_TENSOR_DATA_TYPE_FLOAT32:
inputDatatypeSize = sizeof (float);
break;
default:
@ -247,10 +247,10 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
switch (elementType) {
case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8:
setInputImageDatatype(GST_TENSOR_TYPE_UINT8);
setInputImageDatatype(GST_TENSOR_DATA_TYPE_UINT8);
break;
case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT:
setInputImageDatatype(GST_TENSOR_TYPE_FLOAT32);
setInputImageDatatype(GST_TENSOR_DATA_TYPE_FLOAT32);
break;
default:
GST_ERROR_OBJECT (debug_parent,
@ -363,7 +363,7 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
tensor->data = gst_buffer_new_allocate (NULL, buffer_size, NULL);
gst_buffer_fill (tensor->data, 0, outputTensor.GetTensorData < float >(),
buffer_size);
tensor->data_type = GST_TENSOR_TYPE_FLOAT32;
tensor->data_type = GST_TENSOR_DATA_TYPE_FLOAT32;
} else if (tensorType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32) {
size_t buffer_size = 0;
@ -371,7 +371,7 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
tensor->data = gst_buffer_new_allocate (NULL, buffer_size, NULL);
gst_buffer_fill (tensor->data, 0, outputTensor.GetTensorData < float >(),
buffer_size);
tensor->data_type = GST_TENSOR_TYPE_INT32;
tensor->data_type = GST_TENSOR_DATA_TYPE_INT32;
} else {
GST_ERROR_OBJECT (debug_parent,
"Output tensor is not FLOAT32 or INT32, not supported");
@ -459,7 +459,7 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
std::vector < Ort::Value > inputTensors;
switch (inputDatatype) {
case GST_TENSOR_TYPE_UINT8:
case GST_TENSOR_DATA_TYPE_UINT8:
uint8_t *src_data;
if (inputTensorOffset == 00 && inputTensorScale == 1.0) {
src_data = img_data;
@ -474,7 +474,7 @@ GstOnnxClient::GstOnnxClient (GstElement *debug_parent):debug_parent(debug_paren
memoryInfo, src_data, inputTensorSize, inputDims.data (),
inputDims.size ()));
break;
case GST_TENSOR_TYPE_FLOAT32: {
case GST_TENSOR_DATA_TYPE_FLOAT32: {
convert_image_remove_alpha ((float*)dest, inputImageFormat , srcPtr,
srcSamplesPerPixel, stride, (float)inputTensorOffset, (float)
inputTensorScale);

2
subprojects/gst-plugins-bad/ext/onnx/gstonnxinference.cpp
View file

@ -489,7 +489,7 @@ gst_onnx_inference_transform_caps (GstBaseTransform *
onnxClient->getWidth (), "height", G_TYPE_INT,
onnxClient->getHeight (), NULL);
if (onnxClient->getInputImageDatatype() == GST_TENSOR_TYPE_UINT8 &&
if (onnxClient->getInputImageDatatype() == GST_TENSOR_DATA_TYPE_UINT8 &&
onnxClient->getInputImageScale() == 1.0 &&
onnxClient->getInputImageOffset() == 0.0) {
switch (onnxClient->getChannels()) {

56
subprojects/gst-plugins-bad/gst-libs/gst/analytics/gsttensor.h
View file

@ -32,20 +32,20 @@
/**
* GstTensorDataType:
* @GST_TENSOR_TYPE_INT4 signed 4 bit integer tensor data
* @GST_TENSOR_TYPE_INT8 signed 8 bit integer tensor data
* @GST_TENSOR_TYPE_INT16 signed 16 bit integer tensor data
* @GST_TENSOR_TYPE_INT32 signed 32 bit integer tensor data
* @GST_TENSOR_TYPE_INT64 signed 64 bit integer tensor data
* @GST_TENSOR_TYPE_UINT4 unsigned 4 bit integer tensor data
* @GST_TENSOR_TYPE_UINT8 unsigned 8 bit integer tensor data
* @GST_TENSOR_TYPE_UINT16 unsigned 16 bit integer tensor data
* @GST_TENSOR_TYPE_UINT32 unsigned 32 bit integer tensor data
* @GST_TENSOR_TYPE_UINT64 unsigned 64 bit integer tensor data
* @GST_TENSOR_TYPE_FLOAT16 16 bit floating point tensor data
* @GST_TENSOR_TYPE_FLOAT32 32 bit floating point tensor data
* @GST_TENSOR_TYPE_FLOAT64 64 bit floating point tensor data
* @GST_TENSOR_TYPE_BFLOAT16 "brain" 16 bit floating point tensor data
* @GST_TENSOR_DATA_TYPE_INT4: signed 4 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_INT8: signed 8 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_INT16: signed 16 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_INT32: signed 32 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_INT64: signed 64 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_UINT4: unsigned 4 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_UINT8: unsigned 8 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_UINT16: unsigned 16 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_UINT32: unsigned 32 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_UINT64: unsigned 64 bit integer tensor data
* @GST_TENSOR_DATA_TYPE_FLOAT16: 16 bit floating point tensor data
* @GST_TENSOR_DATA_TYPE_FLOAT32: 32 bit floating point tensor data
* @GST_TENSOR_DATA_TYPE_FLOAT64: 64 bit floating point tensor data
* @GST_TENSOR_DATA_TYPE_BFLOAT16: "brain" 16 bit floating point tensor data
*
* Describe the type of data contain in the tensor.
*
@ -53,20 +53,20 @@
*/
typedef enum _GstTensorDataType
{
GST_TENSOR_TYPE_INT4,
GST_TENSOR_TYPE_INT8,
GST_TENSOR_TYPE_INT16,
GST_TENSOR_TYPE_INT32,
GST_TENSOR_TYPE_INT64,
GST_TENSOR_TYPE_UINT4,
GST_TENSOR_TYPE_UINT8,
GST_TENSOR_TYPE_UINT16,
GST_TENSOR_TYPE_UINT32,
GST_TENSOR_TYPE_UINT64,
GST_TENSOR_TYPE_FLOAT16,
GST_TENSOR_TYPE_FLOAT32,
GST_TENSOR_TYPE_FLOAT64,
GST_TENSOR_TYPE_BFLOAT16,
GST_TENSOR_DATA_TYPE_INT4,
GST_TENSOR_DATA_TYPE_INT8,
GST_TENSOR_DATA_TYPE_INT16,
GST_TENSOR_DATA_TYPE_INT32,
GST_TENSOR_DATA_TYPE_INT64,
GST_TENSOR_DATA_TYPE_UINT4,
GST_TENSOR_DATA_TYPE_UINT8,
GST_TENSOR_DATA_TYPE_UINT16,
GST_TENSOR_DATA_TYPE_UINT32,
GST_TENSOR_DATA_TYPE_UINT64,
GST_TENSOR_DATA_TYPE_FLOAT16,
GST_TENSOR_DATA_TYPE_FLOAT32,
GST_TENSOR_DATA_TYPE_FLOAT64,
GST_TENSOR_DATA_TYPE_BFLOAT16
} GstTensorDataType;
/**

4
subprojects/gst-plugins-bad/gst/tensordecoders/gstssdobjectdetector.c
View file

@ -386,14 +386,14 @@ gst_ssd_object_detector_transform_ip (GstBaseTransform * trans, GstBuffer * buf)
guint index, TYPE * out) \
{ \
switch (tensor->data_type) { \
case GST_TENSOR_TYPE_FLOAT32: { \
case GST_TENSOR_DATA_TYPE_FLOAT32: { \
float *f = (float *) map->data; \
if (sizeof(*f) * (index + 1) > map->size) \
return FALSE; \
*out = f[index]; \
break; \
} \
case GST_TENSOR_TYPE_UINT32: { \
case GST_TENSOR_DATA_TYPE_UINT32: { \
guint32 *u = (guint32 *) map->data; \
if (sizeof(*u) * (index + 1) > map->size) \
return FALSE; \