From: Jaeyun Date: Thu, 11 Oct 2018 10:36:08 +0000 (+0900) Subject: [Transform/Common] code clean X-Git-Tag: v0.0.2~10 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=439eb9647c79e1331827d24803b2b8ac0de9fb4a;p=platform%2Fupstream%2Fnnstreamer.git [Transform/Common] code clean 1. use common functions and structure in tensor-transform 2. add macros to print debug message 3. remove functions to parse caps (get_tensor_from_padcap, get_tensor_from_structure in common) Signed-off-by: Jaeyun Jung --- diff --git a/common/tensor_common.c b/common/tensor_common.c index 1c429c2..4938759 100644 --- a/common/tensor_common.c +++ b/common/tensor_common.c @@ -909,7 +909,8 @@ get_tensor_type (const gchar * typestr) gchar *type_string; tensor_type type = _NNS_END; - g_return_val_if_fail (typestr != NULL, _NNS_END); + if (typestr == NULL) + return _NNS_END; /** remove spaces */ type_string = g_strdup (typestr); @@ -999,7 +1000,8 @@ get_tensor_dimension (const gchar * dimstr, tensor_dim dim) gchar *dim_string; gint i, num_dims; - g_return_val_if_fail (dimstr != NULL, 0); + if (dimstr == NULL) + return 0; /** remove spaces */ dim_string = g_strdup (dimstr); @@ -1070,108 +1072,6 @@ get_tensor_element_count (const tensor_dim dim) } /** - * @brief Extract other/tensor dim/type from GstStructure - */ -GstTensor_Filter_CheckStatus -get_tensor_from_structure (const GstStructure * str, tensor_dim dim, - tensor_type * type, int *framerate_num, int *framerate_denum) -{ - GstTensor_Filter_CheckStatus ret = _TFC_INIT; - const gchar *strval; - gint fn, fd; - - if (!gst_structure_has_name (str, "other/tensor")) - return ret; - - if (gst_structure_get_int (str, "dim1", (int *) &dim[0]) && - gst_structure_get_int (str, "dim2", (int *) &dim[1]) && - gst_structure_get_int (str, "dim3", (int *) &dim[2]) && - gst_structure_get_int (str, "dim4", (int *) &dim[3])) { - ret |= _TFC_DIMENSION; - } - strval = gst_structure_get_string (str, "type"); - if (strval) { - *type = get_tensor_type (strval); - g_assert (*type != _NNS_END); - ret |= _TFC_TYPE; - } - if (gst_structure_get_fraction (str, "framerate", &fn, &fd)) { - if (framerate_num) - *framerate_num = fn; - if (framerate_denum) - *framerate_denum = fd; - ret |= _TFC_FRAMERATE; - } - return ret; -} - -/** - * @brief Get tensor dimension/type from GstCaps - */ -GstTensor_Filter_CheckStatus -get_tensor_from_padcap (const GstCaps * caps, tensor_dim dim, - tensor_type * type, int *framerate_num, int *framerate_denum) -{ - GstTensor_Filter_CheckStatus ret = _TFC_INIT; - unsigned int i, capsize; - const GstStructure *str; - gint fn = 0, fd = 0; - - g_assert (NNS_TENSOR_RANK_LIMIT == 4); /* This code assumes rank limit is 4 */ - if (!caps) - return ret; - - capsize = gst_caps_get_size (caps); - for (i = 0; i < capsize; i++) { - str = gst_caps_get_structure (caps, i); - - tensor_dim _dim = { 0, }; - tensor_type _type = _NNS_END; - int _fn, _fd; - - GstTensor_Filter_CheckStatus tmpret = get_tensor_from_structure (str, - _dim, &_type, &_fn, &_fd); - - /** - * Already cofnigured and more cap info is coming. - * I'm not sure how this happens, but let's be ready for this. - */ - if (tmpret & _TFC_DIMENSION) { - if (ret & _TFC_DIMENSION) { - g_assert (0 == memcmp (_dim, dim, sizeof (tensor_dim))); - } else { - memcpy (dim, _dim, sizeof (tensor_dim)); - ret |= _TFC_DIMENSION; - } - } - - if (tmpret & _TFC_TYPE) { - if (ret & _TFC_TYPE) { - g_assert (*type == _type); - } else { - *type = _type; - ret |= _TFC_TYPE; - } - } - - if (tmpret & _TFC_FRAMERATE) { - if (ret & _TFC_FRAMERATE) { - g_assert (fn == _fn && fd == _fd); - } else { - fn = _fn; - fd = _fd; - if (framerate_num) - *framerate_num = fn; - if (framerate_denum) - *framerate_denum = fd; - ret |= _TFC_FRAMERATE; - } - } - } - return ret; -} - -/** * @brief A callback for typefind, trying to find whether a file is other/tensors or not. * For the concrete definition of headers, please look at the wiki page of nnstreamer: * https://github.com/nnsuite/nnstreamer/wiki/Design-External-Save-Format-for-other-tensor-and-other-tensors-Stream-for-TypeFind diff --git a/gst/tensor_transform/tensor_transform.c b/gst/tensor_transform/tensor_transform.c index 9a5f48e..44370ca 100644 --- a/gst/tensor_transform/tensor_transform.c +++ b/gst/tensor_transform/tensor_transform.c @@ -18,8 +18,8 @@ /** * @file tensor_transform.c * @date 10 Jul 2018 - * @brief GStreamer plugin to transform other/tensor dimensions - * @see http://github.com/nnsuite/nnstreamer + * @brief GStreamer plugin to transform tensor dimension or type + * @see https://github.com/nnsuite/nnstreamer * @author MyungJoo Ham * @bug This is NYI. * @@ -28,8 +28,8 @@ /** * SECTION:element-tensor_transform * - * A filter that converts media stream to tensor stream for NN frameworks. - * The output is always in the format of other/tensor + * A filter that transforms tensor dimension or type. + * The input and output is always in the format of other/tensor * * * Example launch line @@ -48,22 +48,45 @@ #endif #include -#include -#include #include - #include "tensor_transform.h" +/** + * @brief Macro for debug mode. + */ +#ifndef DBG +#define DBG (!filter->silent) +#endif + +/** + * @brief Macro for debug message. + */ +#define silent_debug(...) \ + debug_print (DBG, __VA_ARGS__) + +#define silent_debug_caps(caps,msg) do { \ + if (DBG) { \ + if (caps) { \ + GstStructure *caps_s; \ + gchar *caps_s_string; \ + guint caps_size, caps_idx; \ + caps_size = gst_caps_get_size (caps);\ + for (caps_idx = 0; caps_idx < caps_size; caps_idx++) { \ + caps_s = gst_caps_get_structure (caps, caps_idx); \ + caps_s_string = gst_structure_to_string (caps_s); \ + debug_print (TRUE, msg " = %s\n", caps_s_string); \ + g_free (caps_s_string); \ + } \ + } \ + } \ +} while (0) + GST_DEBUG_CATEGORY_STATIC (gst_tensor_transform_debug); #define GST_CAT_DEFAULT gst_tensor_transform_debug -/* Filter signals and args */ -enum -{ - /* FILL ME */ - LAST_SIGNAL -}; - +/** + * @brief tensor_transform properties + */ enum { PROP_0, @@ -72,12 +95,30 @@ enum PROP_OPTION, }; -#define silent_debug(...) debug_print (!filter->silent, __VA_ARGS__) +static const gchar *gst_tensor_transform_mode_string[] = { + [GTT_DIMCHG] = "dimchg", + [GTT_TYPECAST] = "typecast", + [GTT_ARITHMETIC] = "arithmetic", + [GTT_TRANSPOSE] = "transpose", + [GTT_STAND] = "stand", + [GTT_END] = "error" +}; + +static const gchar *gst_tensor_transform_stand_string[] = { + [STAND_DEFAULT] = "default", + [STAND_END] = "error" +}; + +static const gchar *gst_tensor_transform_arithmetic_string[] = { + [ARITH_ADD] = "add", + [ARITH_MUL] = "mul", + [ARITH_ADD_MUL] = "add-mul", + [ARITH_MUL_ADD] = "mul-add", + [ARITH_END] = "error" +}; /** - * the capabilities of the inputs - * - * In v0.0.1, this is "bitmap" image stream + * @brief The capabilities of the inputs */ static GstStaticPadTemplate sink_factory = GST_STATIC_PAD_TEMPLATE ("sink", GST_PAD_SINK, @@ -93,13 +134,15 @@ static GstStaticPadTemplate src_factory = GST_STATIC_PAD_TEMPLATE ("src", GST_STATIC_CAPS (GST_TENSOR_CAP_DEFAULT)); #define gst_tensor_transform_parent_class parent_class -G_DEFINE_TYPE (GstTensor_Transform, gst_tensor_transform, +G_DEFINE_TYPE (GstTensorTransform, gst_tensor_transform, GST_TYPE_BASE_TRANSFORM); +/* GObject vmethod implementations */ static void gst_tensor_transform_set_property (GObject * object, guint prop_id, const GValue * value, GParamSpec * pspec); static void gst_tensor_transform_get_property (GObject * object, guint prop_id, GValue * value, GParamSpec * pspec); +static void gst_tensor_transform_finalize (GObject * object); /* GstBaseTransformer vmethod implementations */ static GstFlowReturn gst_tensor_transform_transform (GstBaseTransform * trans, @@ -113,26 +156,24 @@ static gboolean gst_tensor_transform_set_caps (GstBaseTransform * trans, static gboolean gst_tensor_transform_transform_size (GstBaseTransform * trans, GstPadDirection direction, GstCaps * caps, gsize size, GstCaps * othercaps, gsize * othersize); -/* GObject vmethod implementations */ /** * @brief initialize the tensor_transform's class */ static void -gst_tensor_transform_class_init (GstTensor_TransformClass * g_class) +gst_tensor_transform_class_init (GstTensorTransformClass * klass) { GObjectClass *gobject_class; GstElementClass *gstelement_class; GstBaseTransformClass *trans_class; - GstTensor_TransformClass *klass; - klass = (GstTensor_TransformClass *) g_class; trans_class = (GstBaseTransformClass *) klass; gstelement_class = (GstElementClass *) trans_class; gobject_class = (GObjectClass *) gstelement_class; gobject_class->set_property = gst_tensor_transform_set_property; gobject_class->get_property = gst_tensor_transform_get_property; + gobject_class->finalize = gst_tensor_transform_finalize; g_object_class_install_property (gobject_class, PROP_SILENT, g_param_spec_boolean ("silent", "Silent", "Produce verbose output ?", @@ -145,8 +186,8 @@ gst_tensor_transform_class_init (GstTensor_TransformClass * g_class) "Option for the tensor transform mode ?", "", G_PARAM_READWRITE)); gst_element_class_set_details_simple (gstelement_class, - "Tensor_Transform", - "Transform other/tensor dimensions", + "TensorTransform", + "Converter/Filter/Tensor", "Transforms other/tensor dimensions for different models or frameworks", "MyungJoo Ham "); @@ -179,7 +220,7 @@ gst_tensor_transform_class_init (GstTensor_TransformClass * g_class) * initialize instance structure */ static void -gst_tensor_transform_init (GstTensor_Transform * filter) +gst_tensor_transform_init (GstTensorTransform * filter) { filter->silent = TRUE; filter->mode = GTT_END; @@ -188,23 +229,6 @@ gst_tensor_transform_init (GstTensor_Transform * filter) filter->type = _NNS_END; } -static const gchar *gst_tensor_transform_mode_string[] = { - [GTT_DIMCHG] = "dimchg", - [GTT_TYPECAST] = "typecast", - [GTT_ARITHMETIC] = "arithmetic", - [GTT_TRANSPOSE] = "transpose", - [GTT_STAND] = "stand", - [GTT_END] = "error", -}; - -static const gchar *gst_tensor_transform_arithmetic_string[] = { - [ARITH_ADD] = "add", - [ARITH_MUL] = "mul", - [ARITH_ADD_MUL] = "add-mul", - [ARITH_MUL_ADD] = "mul-add", - [ARITH_END] = "error", -}; - /** * @brief Get the corresponding mode from the string value * @param[in] str The string value for the mode @@ -213,25 +237,27 @@ static const gchar *gst_tensor_transform_arithmetic_string[] = { static tensor_transform_arith_mode gst_tensor_transform_get_arith_mode (const gchar * str) { - int i; - for (i = 0; i < ARITH_END; i++) { - if (!g_ascii_strcasecmp (gst_tensor_transform_arithmetic_string[i], str)) - return i; - } - return ARITH_END; -} + int index; -static const gchar *gst_tensor_transform_stand_string[] = { - [STAND_DEFAULT] = "default", - [STAND_END] = NULL, -}; + index = find_key_strv (gst_tensor_transform_arithmetic_string, str); + + return (index < 0) ? ARITH_END : index; +} /** * @brief Get the corresponding mode from the string value * @param[in] str The string value for the mode - * @return corresponding mode for the string. ARITH_END for errors + * @return corresponding mode for the string. STAND_END for errors */ -#define gst_tensor_transform_get_stand_mode(str) find_key_strv(gst_tensor_transform_stand_string, str) +static tensor_transform_stand_mode +gst_tensor_transform_get_stand_mode (const gchar * str) +{ + int index; + + index = find_key_strv (gst_tensor_transform_stand_string, str); + + return (index < 0) ? STAND_END : index; +} /** * @brief Get the corresponding mode from the string value @@ -241,50 +267,52 @@ static const gchar *gst_tensor_transform_stand_string[] = { static tensor_transform_mode gst_tensor_transform_get_mode (const gchar * str) { - int i; + int index; - for (i = 0; i < GTT_END; i++) { - if (!g_ascii_strcasecmp (gst_tensor_transform_mode_string[i], str)) - return i; - } - return GTT_END; + index = find_key_strv (gst_tensor_transform_mode_string, str); + + return (index < 0) ? GTT_END : index; } /** - * @brief Setup internal data (data_* in GstTensor_Transform) + * @brief Setup internal data (data_* in GstTensorTransform) * @param[in/out] filter "this" pointer. mode & option MUST BE set already. */ static void -gst_tensor_transform_set_option_data (GstTensor_Transform * filter) +gst_tensor_transform_set_option_data (GstTensorTransform * filter) { if (filter->mode == GTT_END || filter->option == NULL) return; + switch (filter->mode) { case GTT_DIMCHG: { int a, b; gchar **strv = g_strsplit (filter->option, ":", 2); + if (strv[0] != NULL) a = g_ascii_strtoull (strv[0], NULL, 10); else a = 0; + if (strv[1] != NULL) b = g_ascii_strtoull (strv[1], NULL, 10); else b = 0; + filter->data_dimchg.from = a; filter->data_dimchg.to = b; filter->loaded = TRUE; g_strfreev (strv); - } break; + } case GTT_TYPECAST: { filter->data_typecast.to = get_tensor_type (filter->option); if (filter->data_typecast.to != _NNS_END) filter->loaded = TRUE; - } break; + } case GTT_ARITHMETIC: { gchar **strv = g_strsplit (filter->option, ":", 2); @@ -292,6 +320,7 @@ gst_tensor_transform_set_option_data (GstTensor_Transform * filter) if (strv[0] != NULL) { filter->data_arithmetic.mode = gst_tensor_transform_get_arith_mode (strv[0]); + g_assert (filter->data_arithmetic.mode != ARITH_END); } if (strv[1] != NULL) { @@ -326,12 +355,13 @@ gst_tensor_transform_set_option_data (GstTensor_Transform * filter) filter->loaded = TRUE; g_strfreev (strv); - } break; + } case GTT_TRANSPOSE: { int a, i; gchar **strv = g_strsplit (filter->option, ":", NNS_TENSOR_RANK_LIMIT); + for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { if (strv[i] != NULL) a = g_ascii_strtoull (strv[i], NULL, 10); @@ -339,22 +369,23 @@ gst_tensor_transform_set_option_data (GstTensor_Transform * filter) a = 0; filter->data_transpose.trans_order[i] = a; } + filter->loaded = TRUE; g_strfreev (strv); - } break; + } case GTT_STAND: { filter->data_stand.mode = gst_tensor_transform_get_stand_mode (filter->option); - - g_assert (filter->data_stand.mode >= 0); + g_assert (filter->data_stand.mode != STAND_END); filter->loaded = TRUE; - } break; + } default: g_printerr ("Cannot identify mode\n"); g_assert (0); + break; } } @@ -365,7 +396,7 @@ static void gst_tensor_transform_set_property (GObject * object, guint prop_id, const GValue * value, GParamSpec * pspec) { - GstTensor_Transform *filter = GST_TENSOR_TRANSFORM (object); + GstTensorTransform *filter = GST_TENSOR_TRANSFORM (object); switch (prop_id) { case PROP_SILENT: @@ -396,7 +427,7 @@ static void gst_tensor_transform_get_property (GObject * object, guint prop_id, GValue * value, GParamSpec * pspec) { - GstTensor_Transform *filter = GST_TENSOR_TRANSFORM (object); + GstTensorTransform *filter = GST_TENSOR_TRANSFORM (object); switch (prop_id) { case PROP_SILENT: @@ -415,57 +446,23 @@ gst_tensor_transform_get_property (GObject * object, guint prop_id, } } -/****************************************************************** - * GstElement vmethod implementations - */ - -#define return_false_if_fail(x) \ - ret = (x); \ - if (!ret) \ - return FALSE; \ - ; - /** - * @brief entry point to initialize the plug-in - * initialize the plug-in itself - * register the element factories and other features + * @brief Function to finalize instance (gst element vmethod) */ -static gboolean -tensor_transform_init (GstPlugin * tensor_transform) +static void +gst_tensor_transform_finalize (GObject * object) { - /** - * debug category for fltering log messages - * - * exchange the string 'Template tensor_transform' with your description - */ - GST_DEBUG_CATEGORY_INIT (gst_tensor_transform_debug, "tensor_transform", - 0, "Template tensor_transform"); + GstTensorTransform *filter; - return gst_element_register (tensor_transform, "tensor_transform", - GST_RANK_NONE, GST_TYPE_TENSOR_TRANSFORM); -} + filter = GST_TENSOR_TRANSFORM (object); -/** - * PACKAGE: this is usually set by autotools depending on some _INIT macro - * in configure.ac and then written into and defined in config.h, but we can - * just set it ourselves here in case someone doesn't use autotools to - * compile this code. GST_PLUGIN_DEFINE needs PACKAGE to be defined. - */ -#ifndef PACKAGE -#define PACKAGE "tensor_transform" -#endif + if (filter->option) { + g_free (filter->option); + filter->option = NULL; + } -/** - * gstreamer looks for this structure to register tensor_transforms - * - * exchange the string 'Template tensor_transform' with your tensor_transform description - */ -GST_PLUGIN_DEFINE (GST_VERSION_MAJOR, - GST_VERSION_MINOR, - tensor_transform, - "tensor_transform", - tensor_transform_init, - VERSION, "LGPL", "GStreamer", "http://gstreamer.net/"); + G_OBJECT_CLASS (parent_class)->finalize (object); +} /** * @brief subrouting for tensor-tranform, "dimchg" case. @@ -475,7 +472,7 @@ GST_PLUGIN_DEFINE (GST_VERSION_MAJOR, * @return Gst flow status */ static GstFlowReturn -gst_tensor_transform_dimchg (GstTensor_Transform * filter, +gst_tensor_transform_dimchg (GstTensorTransform * filter, const uint8_t * inptr, uint8_t * outptr) { /** @todo NYI */ @@ -486,11 +483,9 @@ gst_tensor_transform_dimchg (GstTensor_Transform * filter, int i, j, k; unsigned int loopLimit = 1; size_t loopBlockSize = tensor_element_size[filter->type]; - size_t copyblocksize = tensor_element_size[filter->type]; size_t copyblocklimit = 1; - if (from == to) { /** Useless memcpy. Do not call this or @todo do "IP" operation */ memcpy (outptr, inptr, get_tensor_element_count (filter->fromDim) * @@ -550,7 +545,7 @@ gst_tensor_transform_dimchg (GstTensor_Transform * filter, /** * Macro to run loop for various data types with simple cast */ -#define castloop(itype, otype, num) do { \ +#define castloop(itype,otype,num) do { \ otype *ptr = (otype *) outptr; \ itype *iptr = (itype *) inptr; \ size_t i; \ @@ -562,7 +557,7 @@ gst_tensor_transform_dimchg (GstTensor_Transform * filter, /** * Macro to run loop for various data types with a converter function */ -#define convloop(itype, otype, num, convfunc) do { \ +#define convloop(itype,otype,num,convfunc) do { \ otype *ptr = (otype *) outptr; \ itype *iptr = (itype *) inptr; \ size_t i; \ @@ -575,7 +570,7 @@ gst_tensor_transform_dimchg (GstTensor_Transform * filter, * Macro to unburden switch cases with castloop/convloop (per itype) * This is for cases otype is numeral. */ -#define numotype_castloop_per_itype(otype, num) do { \ +#define numotype_castloop_per_itype(otype,num) do { \ switch (filter->type) { \ case _NNS_INT8: castloop(int8_t, otype, num); break; \ case _NNS_INT16: castloop(int16_t, otype, num); break; \ @@ -587,8 +582,8 @@ gst_tensor_transform_dimchg (GstTensor_Transform * filter, case _NNS_FLOAT64: castloop(double, otype, num); break; \ case _NNS_INT64: castloop(int64_t, otype, num); break; \ case _NNS_UINT64: castloop(uint64_t, otype, num); break; \ - default: g_assert(0); \ - }; \ + default: g_assert(0); return GST_FLOW_ERROR; \ + } \ } while (0) /** @@ -599,7 +594,7 @@ gst_tensor_transform_dimchg (GstTensor_Transform * filter, * @return Gst flow status */ static GstFlowReturn -gst_tensor_transform_typecast (GstTensor_Transform * filter, +gst_tensor_transform_typecast (GstTensorTransform * filter, const uint8_t * inptr, uint8_t * outptr) { uint32_t num = get_tensor_element_count (filter->fromDim); @@ -637,6 +632,7 @@ gst_tensor_transform_typecast (GstTensor_Transform * filter, break; default: g_assert (0); + return GST_FLOW_ERROR; } return GST_FLOW_OK; @@ -645,7 +641,7 @@ gst_tensor_transform_typecast (GstTensor_Transform * filter, /** * Macro to run loop for various data types with simple arithmetic which has single operand */ -#define arith(itype, num, op, a) do { \ +#define arith(itype,num,op,a) do { \ size_t i; \ itype *in = (itype *) inptr; \ itype *out = (itype *) outptr; \ @@ -657,7 +653,7 @@ gst_tensor_transform_typecast (GstTensor_Transform * filter, /** * Macro to run loop for various data types with simple arithmetic which has dual operands */ -#define arith2(itype, num, op1, a, op2, b) do { \ +#define arith2(itype,num,op1,a,op2,b) do { \ size_t i; \ itype *in = (itype *) inptr; \ itype *out = (itype *) outptr; \ @@ -669,7 +665,7 @@ gst_tensor_transform_typecast (GstTensor_Transform * filter, /** * Macro to handle the case of single operand */ -#define arithmode_single_oprnd_case(itype, num, mode, op, value) do {\ +#define arithmode_single_oprnd_case(itype,num,mode,op,value) do { \ itype a;\ switch (value[0].type) {\ case ARITH_OPRND_TYPE_INT64 : a = (itype) value[0].value_int64; break; \ @@ -680,12 +676,12 @@ gst_tensor_transform_typecast (GstTensor_Transform * filter, g_assert(0); \ }; \ arith(itype, num, op, a); break; \ -} while (0); \ +} while (0); /** * Macro to handle the case of dual operands */ -#define arithmode_dual_oprnd_case(itype, num, mode, op1, op2, value) \ +#define arithmode_dual_oprnd_case(itype,num,mode,op1,op2,value) \ do {\ itype a;\ itype b; \ @@ -706,12 +702,12 @@ do {\ g_assert(0); \ }; \ arith2(itype, num, op1, a, op2, b); break; \ -} while (0); \ +} while (0); /** * Macro to run loop for various data types with simple arithmetic */ -#define arithloopcase(typecase, itype, num, mode, value) \ +#define arithloopcase(typecase,itype,num,mode,value) \ case typecase: \ { \ switch (mode) { \ @@ -731,10 +727,10 @@ do {\ arithmode_dual_oprnd_case (itype, num, mode, *, +, value); \ break; \ }; \ - default: g_assert(0); \ + default: g_assert(0); return GST_FLOW_ERROR; \ } \ break; \ - }; \ + } /** * @brief subrouting for tensor-tranform, "arithmetic" case. @@ -744,7 +740,7 @@ do {\ * @return Gst flow status */ static GstFlowReturn -gst_tensor_transform_arithmetic (GstTensor_Transform * filter, +gst_tensor_transform_arithmetic (GstTensorTransform * filter, const uint8_t * inptr, uint8_t * outptr) { uint32_t num = get_tensor_element_count (filter->fromDim); @@ -764,16 +760,16 @@ gst_tensor_transform_arithmetic (GstTensor_Transform * filter, arithloopcase (_NNS_UINT64, uint64_t, num, mode, value); default: g_assert (0); + return GST_FLOW_ERROR; } return GST_FLOW_OK; } - /** * Macro to run loop for various data types with transpose */ -#define transposeloop(cl, ck, cj, ci, sl, sk, sj, si, typesize) do { \ +#define transposeloop(cl,ck,cj,ci,sl,sk,sj,si,typesize) do { \ size_t i, j, k, l; \ int inidx = 0, outidx=0; \ for(cl=0;clinfo); } /** * @brief Dimension conversion calculation * @param[in] filter "this" pointer * @param[in] direction GST_PAD_SINK if input->output conv - * @param[in] srcDim dimension of source tensor (input if direction is SINK) - * @param[out] destDim dimension of destinatino tensor (output if direction is SINK) + * @param[in] in_info tensor info structure of source tensor (input if direction is SINK) + * @param[out] out_info tensor info structure of destination tensor (output if direction is SINK) * @return TRUE if success */ static gboolean -gst_tensor_dimension_conversion (GstTensor_Transform * filter, - GstPadDirection direction, const tensor_dim srcDim, tensor_type srcType, - tensor_dim destDim, tensor_type * destType) +gst_tensor_transform_convert_dimension (GstTensorTransform * filter, + GstPadDirection direction, const GstTensorInfo * in_info, + GstTensorInfo * out_info) { - gboolean ret = FALSE; switch (filter->mode) { case GTT_DIMCHG: - *destType = srcType; + out_info->type = in_info->type; if (direction == GST_PAD_SINK) { int i; @@ -1051,29 +1001,28 @@ gst_tensor_dimension_conversion (GstTensor_Transform * filter, for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { if (i < a && i < b) { - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } else if (i > a && i > b) { - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } else if (a > b) { if (i == b) { - destDim[i] = srcDim[a]; + out_info->dimension[i] = in_info->dimension[a]; } else { g_assert (i > 0 && i > b); - destDim[i] = srcDim[i - 1]; + out_info->dimension[i] = in_info->dimension[i - 1]; } } else if (a < b) { if (i == b) { - destDim[i] = srcDim[a]; + out_info->dimension[i] = in_info->dimension[a]; } else { g_assert (i < b && i < (NNS_TENSOR_RANK_LIMIT - 1)); - destDim[i] = srcDim[i + 1]; + out_info->dimension[i] = in_info->dimension[i + 1]; } } else { /* a == b */ - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } } - ret = TRUE; } else { int i; int a = filter->data_dimchg.from; @@ -1081,29 +1030,28 @@ gst_tensor_dimension_conversion (GstTensor_Transform * filter, for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { if (i < a && i < b) { - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } else if (i > a && i > b) { - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } else if (a > b) { if (i == a) { - destDim[i] = srcDim[b]; + out_info->dimension[i] = in_info->dimension[b]; } else { g_assert (i < a && i < (NNS_TENSOR_RANK_LIMIT - 1)); - destDim[i] = srcDim[i + 1]; + out_info->dimension[i] = in_info->dimension[i + 1]; } } else if (a < b) { if (i == a) { - destDim[i] = srcDim[b]; + out_info->dimension[i] = in_info->dimension[b]; } else { g_assert (i > 0 && i > a); - destDim[i] = srcDim[i - 1]; + out_info->dimension[i] = in_info->dimension[i - 1]; } } else { /* a == b */ - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } } - ret = TRUE; } break; case GTT_TYPECAST: @@ -1111,61 +1059,59 @@ gst_tensor_dimension_conversion (GstTensor_Transform * filter, /** For both directions, dimension does not change */ int i; for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } if (direction == GST_PAD_SINK) { /** src = SINKPAD / dest = SRCPAD */ - *destType = filter->data_typecast.to; + out_info->type = filter->data_typecast.to; } else { /** src = SRCPAD / dest = SINKPAD */ - *destType = filter->type; /** @todo this may cause problems with Cap-Transform */ + out_info->type = filter->type; /** @todo this may cause problems with Cap-Transform */ } - ret = TRUE; - } break; + } case GTT_ARITHMETIC: { int i; for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } - *destType = srcType; - ret = TRUE; - } + out_info->type = in_info->type; break; + } case GTT_TRANSPOSE: { - *destType = srcType; + out_info->type = in_info->type; int i; if (direction == GST_PAD_SINK) { for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { - destDim[i] = srcDim[filter->data_transpose.trans_order[i]]; + out_info->dimension[i] = + in_info->dimension[filter->data_transpose.trans_order[i]]; } } else { for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { g_assert (filter->data_transpose.trans_order[i] < NNS_TENSOR_RANK_LIMIT); - destDim[filter->data_transpose.trans_order[i]] = srcDim[i]; + out_info->dimension[filter->data_transpose.trans_order[i]] = + in_info->dimension[i]; } } - ret = TRUE; - } break; + } case GTT_STAND: { int i; for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { - destDim[i] = srcDim[i]; + out_info->dimension[i] = in_info->dimension[i]; } - *destType = srcType; - ret = TRUE; - } + out_info->type = in_info->type; break; - + } default: return FALSE; } - return ret; + + return TRUE; } /** @@ -1182,65 +1128,55 @@ static GstCaps * gst_tensor_transform_transform_caps (GstBaseTransform * trans, GstPadDirection direction, GstCaps * caps, GstCaps * filtercap) { - /** @todo NYI: framerate configuration! */ - tensor_dim in = { 0, }; - tensor_dim out = { 0, }; - tensor_type itype, otype; - gboolean ret; - GstTensor_Transform *filter = GST_TENSOR_TRANSFORM_CAST (trans); - GstCaps *retcap = NULL; - gint fn = -1, fd = -1; + GstTensorTransform *filter; + GstTensorConfig in_config; + GstTensorConfig out_config; + GstCaps *result = NULL; + filter = GST_TENSOR_TRANSFORM_CAST (trans); g_assert (filter->loaded); + silent_debug ("Calling TransformCaps, direction = %d\n", direction); + silent_debug_caps (caps, "from"); + silent_debug_caps (filtercap, "filter"); + + gst_tensor_config_init (&in_config); + gst_tensor_config_init (&out_config); + if (direction == GST_PAD_SINK) { - ret = gst_tensor_read_cap (caps, in, &itype, &fn, &fd); - if (ret == TRUE) - ret = - gst_tensor_dimension_conversion (filter, direction, in, itype, out, - &otype); - if (ret == TRUE) - retcap = gst_tensor_write_cap (out, otype, fn, fd); + if (gst_tensor_transform_read_caps (caps, &in_config)) { + gst_tensor_transform_convert_dimension (filter, direction, + &in_config.info, &out_config.info); + } + + /** + * supposed same framerate from input configuration + */ + out_config.rate_n = in_config.rate_n; + out_config.rate_d = in_config.rate_d; + + result = gst_tensor_caps_from_config (&out_config); } else { - ret = gst_tensor_read_cap (caps, out, &otype, &fn, &fd); - if (ret == TRUE) - ret = - gst_tensor_dimension_conversion (filter, direction, out, otype, in, - &itype); - if (ret == TRUE) - retcap = gst_tensor_write_cap (in, itype, fn, fd); - } + if (gst_tensor_transform_read_caps (caps, &out_config)) { + gst_tensor_transform_convert_dimension (filter, direction, + &out_config.info, &in_config.info); + } - if (retcap == NULL) { - /* Undetermined. Return the template pad */ - GstStaticCaps rawcap = GST_STATIC_CAPS (GST_TENSOR_CAP_DEFAULT); - GstCaps *staticcap = gst_static_caps_get (&rawcap); - GstCaps *any = gst_caps_new_any (); - retcap = gst_caps_intersect_full (staticcap, any, GST_CAPS_INTERSECT_FIRST); - gst_caps_unref (any); + result = gst_tensor_caps_from_config (&in_config); } if (filtercap) { - GstCaps *retcap2 = - gst_caps_intersect_full (retcap, filtercap, GST_CAPS_INTERSECT_FIRST); - gst_caps_unref (retcap); - retcap = retcap2; - } + GstCaps *intersection; - if (filter->silent == FALSE) { - GstStructure *structure = gst_caps_get_structure (caps, 0); - gchar *str = gst_structure_to_string (structure), *str2; - structure = gst_caps_get_structure (retcap, 0); - str2 = gst_structure_to_string (structure); - err_print ("DIRECTION = %s | From %s | To %s\n", - (direction == GST_PAD_SINK) ? "GST_PAD_SINK" : "GST_PAD_SRC", str, - str2); - g_free (str); - g_free (str2); + intersection = + gst_caps_intersect_full (result, filtercap, GST_CAPS_INTERSECT_FIRST); + gst_caps_unref (result); + result = intersection; } - return retcap; + silent_debug_caps (result, "to"); + return result; } /** @@ -1250,31 +1186,30 @@ static GstCaps * gst_tensor_transform_fixate_caps (GstBaseTransform * trans, GstPadDirection direction, GstCaps * caps, GstCaps * othercaps) { - /** @todo NYI: framerate configuration! */ - GstCaps *othercaps_candidate = - gst_tensor_transform_transform_caps (trans, direction, caps, NULL); - GstCaps *filtered_candidate = - gst_caps_intersect_full (othercaps_candidate, othercaps, - GST_CAPS_INTERSECT_FIRST); - GstTensor_Transform *filter = GST_TENSOR_TRANSFORM_CAST (trans); - - gst_caps_unref (othercaps_candidate); - - debug_print (!filter->silent, "Calling FixateCaps\n"); - if (filter->silent == FALSE) { - GstStructure *structure = gst_caps_get_structure (caps, 0); - gchar *str = gst_structure_to_string (structure), *str2; - structure = gst_caps_get_structure (filtered_candidate, 0); - str2 = gst_structure_to_string (structure); - err_print ("DIRECTION = %s | From %s | To %s\n", - (direction == GST_PAD_SINK) ? "GST_PAD_SINK" : "GST_PAD_SRC", str, - str2); - g_free (str); - g_free (str2); + GstTensorTransform *filter; + GstCaps *result; + + filter = GST_TENSOR_TRANSFORM_CAST (trans); + + silent_debug ("Calling FixateCaps, direction = %d\n", direction); + silent_debug_caps (caps, "caps"); + silent_debug_caps (othercaps, "othercaps"); + + result = gst_tensor_transform_transform_caps (trans, direction, caps, NULL); + + if (othercaps) { + GstCaps *intersection; + + intersection = + gst_caps_intersect_full (result, othercaps, GST_CAPS_INTERSECT_FIRST); + gst_caps_unref (othercaps); + gst_caps_unref (result); + result = intersection; } - return filtered_candidate; + silent_debug_caps (result, "result"); + return result; } /** @@ -1284,51 +1219,64 @@ static gboolean gst_tensor_transform_set_caps (GstBaseTransform * trans, GstCaps * incaps, GstCaps * outcaps) { - GstTensor_Transform *filter = GST_TENSOR_TRANSFORM_CAST (trans); - tensor_type itype, otype; - gboolean ret; - gint fd, fn; - - debug_print (!filter->silent, "Calling SetCaps\n"); - if (filter->silent == FALSE) { - GstStructure *structure = gst_caps_get_structure (incaps, 0); - gchar *str = gst_structure_to_string (structure), *str2; - structure = gst_caps_get_structure (outcaps, 0); - str2 = gst_structure_to_string (structure); - err_print ("In %s | Out %s\n", str, str2); - g_free (str); - g_free (str2); + GstTensorTransform *filter; + GstTensorConfig in_config; + GstTensorConfig out_config; + guint i; + filter = GST_TENSOR_TRANSFORM_CAST (trans); + + silent_debug ("Calling SetCaps\n"); + silent_debug_caps (incaps, "incaps"); + silent_debug_caps (outcaps, "outcaps"); + + if (!gst_tensor_transform_read_caps (incaps, &in_config) || + !gst_tensor_config_validate (&in_config)) { + silent_debug ("Cannot read cap of incaps\n"); + goto error; } - ret = gst_tensor_read_cap (incaps, filter->fromDim, &itype, &fn, &fd); - if (ret == FALSE) { - debug_print (!filter->silent, "Cannot read cap of incaps\n"); + if (!gst_tensor_transform_read_caps (outcaps, &out_config) || + !gst_tensor_config_validate (&out_config)) { + silent_debug ("Cannot read cap of outcaps\n"); goto error; } - ret = gst_tensor_read_cap (outcaps, filter->toDim, &otype, &fd, &fn); - if (ret == FALSE) { - debug_print (!filter->silent, "Cannot read cap of outcaps\n"); + + /** check framerate */ + if (in_config.rate_n != out_config.rate_n + || in_config.rate_d != out_config.rate_d) { + silent_debug ("Framerate is not matched\n"); goto error; } + + /** + * Update in/out tensor info (dimension, type) + */ + for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { + filter->fromDim[i] = in_config.info.dimension[i]; + filter->toDim[i] = out_config.info.dimension[i]; + } + if (filter->type == _NNS_END) - filter->type = itype; + filter->type = in_config.info.type; switch (filter->mode) { case GTT_TRANSPOSE: case GTT_ARITHMETIC: case GTT_STAND: case GTT_DIMCHG: - if (itype != otype || filter->type != itype) { - debug_print (!filter->silent, "Filter Type Not Matched\n"); + if (in_config.info.type != out_config.info.type + || filter->type != in_config.info.type) { + silent_debug ("Filter Type Not Matched\n"); goto error; } break; case GTT_TYPECAST: - if (filter->type != itype || filter->data_typecast.to != otype) { - debug_print (!filter->silent, - "Filter Type Not Matched\n Input %d/%d | Output %d/%d", - filter->type, itype, filter->data_typecast.to, otype); + if (filter->type != in_config.info.type + || filter->data_typecast.to != out_config.info.type) { + silent_debug ("Filter Type Not Matched\n Input %d/%d | Output %d/%d", + filter->type, in_config.info.type, filter->data_typecast.to, + out_config.info.type); goto error; } break; @@ -1338,7 +1286,7 @@ gst_tensor_transform_set_caps (GstBaseTransform * trans, return TRUE; error: - debug_print (!filter->silent, "Set Caps Failed!\n"); + silent_debug ("Set Caps Failed!\n"); return FALSE; } @@ -1350,7 +1298,10 @@ gst_tensor_transform_transform_size (GstBaseTransform * trans, GstPadDirection direction, GstCaps * caps, gsize size, GstCaps * othercaps, gsize * othersize) { - GstTensor_Transform *filter = GST_TENSOR_TRANSFORM_CAST (trans); + GstTensorTransform *filter; + + filter = GST_TENSOR_TRANSFORM_CAST (trans); + switch (filter->mode) { case GTT_TRANSPOSE: case GTT_ARITHMETIC: @@ -1365,13 +1316,50 @@ gst_tensor_transform_transform_size (GstBaseTransform * trans, if (size % srcunitsize > 0) return FALSE; *othersize = size / srcunitsize * dstunitsize; - } break; + } default: return FALSE; - break; } return TRUE; /** @todo add verificastion procedure */ } + +/** + * @brief entry point to initialize the plug-in + * initialize the plug-in itself + * register the element factories and other features + */ +static gboolean +gst_tensor_transform_plugin_init (GstPlugin * plugin) +{ + /** + * debug category for fltering log messages + */ + GST_DEBUG_CATEGORY_INIT (gst_tensor_transform_debug, "tensor_transform", + 0, "tensor_transform element"); + + return gst_element_register (plugin, "tensor_transform", + GST_RANK_NONE, GST_TYPE_TENSOR_TRANSFORM); +} + +/** + * PACKAGE: this is usually set by autotools depending on some _INIT macro + * in configure.ac and then written into and defined in config.h, but we can + * just set it ourselves here in case someone doesn't use autotools to + * compile this code. GST_PLUGIN_DEFINE needs PACKAGE to be defined. + */ +#ifndef PACKAGE +#define PACKAGE "tensor_transform" +#endif + +/** + * gstreamer looks for this structure to register tensor_transforms + */ +GST_PLUGIN_DEFINE (GST_VERSION_MAJOR, + GST_VERSION_MINOR, + tensor_transform, + "GStreamer plugin to transform tensor dimension or type", + gst_tensor_transform_plugin_init, VERSION, "LGPL", "nnstreamer", + "https://github.com/nnsuite/nnstreamer"); diff --git a/gst/tensor_transform/tensor_transform.h b/gst/tensor_transform/tensor_transform.h index 0620cfa..c4a9bea 100644 --- a/gst/tensor_transform/tensor_transform.h +++ b/gst/tensor_transform/tensor_transform.h @@ -18,26 +18,12 @@ /** * @file tensor_transform.c * @date 10 Jul 2018 - * @brief GStreamer plugin to transform other/tensor dimensions - * - * @see http://github.com/nnsuite/nnstreamer + * @brief GStreamer plugin to transform tensor dimension or type + * @see https://github.com/nnsuite/nnstreamer * @author MyungJoo Ham * @bug No known bugs. * */ -/** - * SECTION:element-tensor_transform - * - * A filter that converts other/tensor formats - * The input/output is always in the format of other/tensor - * - * - * Example launch line - * |[ - * gst-launch -v -m fakesrc ! tensor_transform mode=dimchg option=0:2 ! fakesink silent=TRUE - * ]| - * - */ #ifndef __GST_TENSOR_TRANSFORM_H__ #define __GST_TENSOR_TRANSFORM_H__ @@ -48,23 +34,22 @@ G_BEGIN_DECLS -/* #defines don't like whitespacey bits */ #define GST_TYPE_TENSOR_TRANSFORM \ (gst_tensor_transform_get_type()) #define GST_TENSOR_TRANSFORM(obj) \ - (G_TYPE_CHECK_INSTANCE_CAST((obj),GST_TYPE_TENSOR_TRANSFORM,GstTensor_Transform)) + (G_TYPE_CHECK_INSTANCE_CAST((obj),GST_TYPE_TENSOR_TRANSFORM,GstTensorTransform)) #define GST_TENSOR_TRANSFORM_CLASS(klass) \ - (G_TYPE_CHECK_CLASS_CAST((klass),GST_TYPE_TENSOR_TRANSFORM,GstTensor_TransformClass)) + (G_TYPE_CHECK_CLASS_CAST((klass),GST_TYPE_TENSOR_TRANSFORM,GstTensorTransformClass)) #define GST_IS_TENSOR_TRANSFORM(obj) \ (G_TYPE_CHECK_INSTANCE_TYPE((obj),GST_TYPE_TENSOR_TRANSFORM)) #define GST_IS_TENSOR_TRANSFORM_CLASS(klass) \ (G_TYPE_CHECK_CLASS_TYPE((klass),GST_TYPE_TENSOR_TRANSFORM)) -#define GST_TENSOR_TRANSFORM_CAST(obj) ((GstTensor_Transform *)(obj)) -#define ARITH_OPRND_NUM_LIMIT 2 +#define GST_TENSOR_TRANSFORM_CAST(obj) ((GstTensorTransform *)(obj)) -typedef struct _GstTensor_Transform GstTensor_Transform; +#define ARITH_OPRND_NUM_LIMIT 2 -typedef struct _GstTensor_TransformClass GstTensor_TransformClass; +typedef struct _GstTensorTransform GstTensorTransform; +typedef struct _GstTensorTransformClass GstTensorTransformClass; typedef enum { @@ -152,7 +137,7 @@ typedef struct _tensor_transform_stand { /** * @brief Internal data structure for tensor_transform instances. */ -struct _GstTensor_Transform +struct _GstTensorTransform { GstBaseTransform element; /**< This is the parent object */ @@ -174,13 +159,13 @@ struct _GstTensor_Transform }; /** - * @brief GstTensor_TransformClass inherits GstBaseTransformClass. + * @brief GstTensorTransformClass inherits GstBaseTransformClass. * * Referring another child (sibiling), GstVideoFilter (abstract class) and * its child (concrete class) GstVideoTransform. - * Note that GstTensor_TransformClass is a concrete class; thus we need to look at both. + * Note that GstTensorTransformClass is a concrete class; thus we need to look at both. */ -struct _GstTensor_TransformClass +struct _GstTensorTransformClass { GstBaseTransformClass parent_class; /**< Inherits GstBaseTransformClass */ }; diff --git a/include/tensor_common.h b/include/tensor_common.h index d3396e0..91b7eb3 100644 --- a/include/tensor_common.h +++ b/include/tensor_common.h @@ -347,32 +347,6 @@ extern gchar *get_tensor_dimension_string (const tensor_dim dim); extern size_t get_tensor_element_count (const tensor_dim dim); /** - * @brief Read GstStructure, return corresponding tensor-dim/type. (other/tensor) - * @return Notifies which part of dim/type is determined. - * @param[in] str the GstStructure to be interpreted. - * @param[out] dim the corresponging dimension info from the cap. - * @param[out] type the corresponding element type from the cap. - * @param[out] framerate_num Numerator of framerate. Set null to not use this. - * @param[out] framerate_denum Denumerator of framerate. Set null to not use this. - */ -extern GstTensor_Filter_CheckStatus -get_tensor_from_structure (const GstStructure * str, tensor_dim dim, - tensor_type * type, int *framerate_num, int *framerate_denum); - -/** - * @brief Read pad-cap, return corresponding tensor-dim/type. (other/tensor) - * @return Notifies which part of dim/type is determined. - * @param[in] caps the pad-cap to be interpreted. - * @param[out] dim the corresponging dimension info from the cap. - * @param[out] type the corresponding element type from the cap. - * @param[out] framerate_num Numerator of framerate. Set null to not use this. - * @param[out] framerate_denum Denumerator of framerate. Set null to not use this. - */ -extern GstTensor_Filter_CheckStatus -get_tensor_from_padcap (const GstCaps * caps, tensor_dim dim, - tensor_type * type, int *framerate_num, int *framerate_denum); - -/** * @brief Make str(xyz) ==> "xyz" with macro expansion */ #define str(s) xstr(s) diff --git a/include/tensor_typedef.h b/include/tensor_typedef.h index 47c1717..88acd21 100644 --- a/include/tensor_typedef.h +++ b/include/tensor_typedef.h @@ -88,18 +88,6 @@ typedef enum _nnfw_type struct _GstTensorFilterFramework; typedef struct _GstTensorFilterFramework GstTensorFilterFramework; -typedef enum -{ - _TFC_INIT = 0, - _TFC_DIMENSION = 1, - _TFC_TYPE = 2, - _TFC_ALL = _TFC_DIMENSION | _TFC_TYPE, - - _TFC_FRAMERATE = 4, - - /** @todo Add "consistency checked. don't check it again" and implement .c accordingly. */ -} GstTensor_Filter_CheckStatus; - typedef uint32_t tensor_dim[NNS_TENSOR_RANK_LIMIT]; /**