From: Jaeyun Date: Mon, 1 Aug 2022 09:54:58 +0000 (+0900) Subject: [Py/Dims] error case to handle dimension X-Git-Tag: accepted/tizen/unified/20220908.124832~6 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=2d8dea531a847d29780d6af658d1fba19c50baca;p=platform%2Fupstream%2Fnnstreamer.git [Py/Dims] error case to handle dimension Handle error case if rank from python script is larger than max rank value. Update log message in python helper. Signed-off-by: Jaeyun --- diff --git a/ext/nnstreamer/extra/nnstreamer_python3_helper.cc b/ext/nnstreamer/extra/nnstreamer_python3_helper.cc index 8cb86ba..7802bcb 100644 --- a/ext/nnstreamer/extra/nnstreamer_python3_helper.cc +++ b/ext/nnstreamer/extra/nnstreamer_python3_helper.cc @@ -26,7 +26,8 @@ /** @brief object structure for custom Python type: TensorShape */ typedef struct { - PyObject_HEAD PyObject * dims; + PyObject_HEAD + PyObject *dims; PyArray_Descr *type; } TensorShapeObject; @@ -322,11 +323,11 @@ loadScript (PyObject **core_obj, const gchar *module_name, const gchar *class_na *core_obj = PyObject_CallObject (cls, NULL); Py_SAFEDECREF (cls); } else { - Py_ERRMSG ("Cannot find '%s' class in the script\n", class_name); + Py_ERRMSG ("Cannot find '%s' class in the script.\n", class_name); return -2; } } else { - Py_ERRMSG ("the script is not properly loaded\n"); + Py_ERRMSG ("The script (%s) is not properly loaded.\n", module_name); return -1; } @@ -397,72 +398,101 @@ int addToSysPath (const gchar *path) int parseTensorsInfo (PyObject *result, GstTensorsInfo *info) { - int ret = 0; + guint i, j, rank; + if (PyList_Size (result) < 0) return -1; info->num_tensors = PyList_Size (result); - for (guint i = 0; i < info->num_tensors; i++) { + for (i = 0; i < info->num_tensors; i++) { /** don't own the reference */ PyObject *tensor_shape = PyList_GetItem (result, (Py_ssize_t)i); if (nullptr == tensor_shape) { - Py_ERRMSG ("parseTensorsInfo() has failed (1)."); - return -1; - } - - PyObject *shape_dims = PyObject_CallMethod (tensor_shape, (char *)"getDims", NULL); - if (nullptr == shape_dims) { - Py_ERRMSG ("parseTensorsInfo() has failed (2)."); + Py_ERRMSG ("The function %s has failed, cannot get TensorShape object.", __FUNCTION__); return -1; } PyObject *shape_type = PyObject_CallMethod (tensor_shape, (char *)"getType", NULL); if (nullptr == shape_type) { - Py_ERRMSG ("parseTensorsInfo() has failed (3)."); - Py_SAFEDECREF (shape_dims); + Py_ERRMSG ("The function %s has failed, cannot get the tensor type.", __FUNCTION__); return -1; } /** convert numpy type to tensor type */ info->info[i].type = getTensorType ((NPY_TYPES) (((PyArray_Descr *)shape_type)->type_num)); + Py_SAFEDECREF (shape_type); - for (gint j = 0; j < PyList_Size (shape_dims); j++) { + PyObject *shape_dims = PyObject_CallMethod (tensor_shape, (char *)"getDims", NULL); + if (nullptr == shape_dims) { + Py_ERRMSG ("The function %s has failed, cannot get the tensor dimension.", __FUNCTION__); + return -1; + } + + if (!PyList_CheckExact (shape_dims)) { + Py_ERRMSG ("The function %s has failed, dimension should be a list.", __FUNCTION__); + Py_SAFEDECREF (shape_dims); + return -EINVAL; + } + + rank = (guint) PyList_Size (shape_dims); + if (rank > NNS_TENSOR_RANK_LIMIT) { + Py_ERRMSG ("The function %s has failed, max rank of tensor dimension is %d.", __FUNCTION__, NNS_TENSOR_RANK_LIMIT); + Py_SAFEDECREF (shape_dims); + return -EINVAL; + } + + for (j = 0; j < rank; j++) { PyErr_Clear(); PyObject *item = PyList_GetItem (shape_dims, (Py_ssize_t)j); + int val = -1; + if (PyErr_Occurred()) { PyErr_Print(); + PyErr_Clear(); info->info[i].dimension[j] = 0; ml_loge ("Python nnstreamer plugin has returned dimensions of the %u'th tensor not in an array. Python code should return int-type array for dimensions. Indexes are counted from 0.\n", - i); - ret = -EINVAL; + i + 1); + Py_SAFEDECREF (shape_dims); + return -EINVAL; } - PyErr_Clear(); if (PyLong_Check (item)) { - info->info[i].dimension[j] = (guint)PyLong_AsUnsignedLong (item); + val = (int) PyLong_AsLong (item); } else if (PyFloat_Check (item)) { /** Regard this as a warning. Don't return -EINVAL with this */ - info->info[i].dimension[j] = (guint)PyFloat_AsDouble (item); + val = (int) PyFloat_AsDouble (item); ml_loge - ("Python nnstreamer plugin has returned the %d'th dimension value of the %u'th tensor in floating-point type (%f), which is casted as unsigned-int. Python code should return int-type for dimension values. Indexes are counted from 0.\n", - j, i, PyFloat_AsDouble (item)); + ("Python nnstreamer plugin has returned the %u'th dimension value of the %u'th tensor in floating-point type (%f), which is casted as unsigned-int. Python code should return int-type for dimension values. Indexes are counted from 0.\n", + j + 1, i + 1, PyFloat_AsDouble (item)); } else { info->info[i].dimension[j] = 0; ml_loge - ("Python nnstreamer plugin has returned the %d'th dimension value of the %u'th tensor neither in integer or floating-pointer. Python code should return int-type for dimension values. Indexes are counted from 0.\n", - j, i); - ret = -EINVAL; + ("Python nnstreamer plugin has returned the %u'th dimension value of the %u'th tensor neither in integer or floating-pointer. Python code should return int-type for dimension values. Indexes are counted from 0.\n", + j + 1, i + 1); + Py_SAFEDECREF (shape_dims); + return -EINVAL; } + + if (val <= 0) { + Py_ERRMSG ("The %u'th dimension value of the %u'th tensor is invalid (%d).", j + 1, i + 1, val); + Py_SAFEDECREF (shape_dims); + return -EINVAL; + } + + info->info[i].dimension[j] = (uint32_t) val; } - info->info[i].name = g_strdup(""); + /* Fill remained dims */ + for (; j < NNS_TENSOR_RANK_LIMIT; j++) + info->info[i].dimension[j] = 1U; + + info->info[i].name = NULL; Py_SAFEDECREF (shape_dims); - Py_SAFEDECREF (shape_type); } - return ret; + return 0; } /** @@ -480,7 +510,7 @@ PyTensorShape_New (PyObject * shape_cls, const GstTensorInfo *info) PyObject *type = (PyObject *)PyArray_DescrFromType (getNumpyType (info->type)); if (nullptr == args || nullptr == dims || nullptr == type) { - Py_ERRMSG ("PYCore::PyTensorShape_New() has failed (1)."); + Py_ERRMSG ("The function %s has failed, cannot create args.", __FUNCTION__); PyErr_Clear (); Py_SAFEDECREF (args); Py_SAFEDECREF (dims); diff --git a/gst/nnstreamer/nnstreamer_plugin_api_util_impl.c b/gst/nnstreamer/nnstreamer_plugin_api_util_impl.c index 8d9fba6..78af021 100644 --- a/gst/nnstreamer/nnstreamer_plugin_api_util_impl.c +++ b/gst/nnstreamer/nnstreamer_plugin_api_util_impl.c @@ -931,7 +931,7 @@ gst_tensor_get_dimension_string (const tensor_dim dim) dim_str = g_string_new (NULL); for (i = 0; i < NNS_TENSOR_RANK_LIMIT; i++) { - g_string_append_printf (dim_str, "%d", dim[i]); + g_string_append_printf (dim_str, "%u", dim[i]); if (i < NNS_TENSOR_RANK_LIMIT - 1) { g_string_append (dim_str, ":"); @@ -965,7 +965,7 @@ gst_tensor_get_rank_dimension_string (const tensor_dim dim, actual_rank = rank; for (i = 0; i < actual_rank; i++) { - g_string_append_printf (dim_str, "%d", dim[i]); + g_string_append_printf (dim_str, "%u", dim[i]); if (i < actual_rank - 1) { g_string_append (dim_str, ":");