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214 lines
5.6 KiB
C
214 lines
5.6 KiB
C
/* GStreamer
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* Copyright (C) 2023 Collabora Ltd
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*
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* gstanalyticsmeta.c
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Library General Public
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* License as published by the Free Software Foundation; either
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* version 2 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Library General Public License for more details.
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*
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* You should have received a copy of the GNU Library General Public
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* License along with this library; if not, write to the
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* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
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* Boston, MA 02110-1301, USA.
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*/
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#ifdef HAVE_CONFIG_H
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#include "config.h"
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#endif
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#include "gsttensor.h"
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#define GST_TENSOR_SIZE(num_dims) \
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(sizeof (GstTensor) + (sizeof (GstTensorDim) * num_dims))
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G_DEFINE_BOXED_TYPE (GstTensor, gst_tensor,
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(GBoxedCopyFunc) gst_tensor_copy, (GBoxedFreeFunc) gst_tensor_free);
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/**
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* gst_tensor_alloc: (constructor)
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* @num_dims: Number of dimension of the tensors
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*
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* Allocate a tensor with @num_dims dimensions.
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*
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* Returns: (transfer full) (not nullable): tensor allocated
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*
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* Since: 1.26
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*/
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GstTensor *
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gst_tensor_alloc (gsize num_dims)
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{
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GstTensor *tensor = g_malloc0 (GST_TENSOR_SIZE (num_dims));
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tensor->num_dims = num_dims;
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return tensor;
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}
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static gsize
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size_for_elements (GstTensorDataType data_type, gsize elements)
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{
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switch (data_type) {
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case GST_TENSOR_DATA_TYPE_INT4:
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case GST_TENSOR_DATA_TYPE_UINT4:
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return (elements / 2) + (elements % 2);
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case GST_TENSOR_DATA_TYPE_INT8:
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case GST_TENSOR_DATA_TYPE_UINT8:
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return elements;
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case GST_TENSOR_DATA_TYPE_INT16:
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case GST_TENSOR_DATA_TYPE_UINT16:
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case GST_TENSOR_DATA_TYPE_FLOAT16:
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case GST_TENSOR_DATA_TYPE_BFLOAT16:
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return elements * 2;
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case GST_TENSOR_DATA_TYPE_INT32:
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case GST_TENSOR_DATA_TYPE_UINT32:
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case GST_TENSOR_DATA_TYPE_FLOAT32:
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return elements * 4;
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case GST_TENSOR_DATA_TYPE_INT64:
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case GST_TENSOR_DATA_TYPE_UINT64:
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case GST_TENSOR_DATA_TYPE_FLOAT64:
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return elements * 8;
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default:
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g_assert_not_reached ();
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return 0;
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}
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}
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/**
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* gst_tensor_new_simple:
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* @id: semantically identify the contents of the tensor
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* @data_type: #GstTensorDataType of tensor data
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* @batch_size: Model batch size
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* @data: (transfer full): #GstBuffer holding tensor data
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* @dims_order: Indicate tensor dimension indexing order
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* @num_dims: number of tensor dimensions
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* @dims: (array length=num_dims): tensor dimensions
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*
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* Allocates a new #GstTensor of @dims_order ROW_MAJOR or COLUMN_MAJOR and
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* with an interleaved layout
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*
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* Returns: A newly allocated #GstTensor
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*
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* Since: 1.26
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*/
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GstTensor *
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gst_tensor_new_simple (GQuark id, GstTensorDataType data_type,
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gsize batch_size, GstBuffer * data,
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GstTensorDimOrder dims_order, gsize num_dims, gsize * dims)
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{
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GstTensor *tensor;
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gsize num_elements = 1;
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gsize i;
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/* Update this if adding more to GstTensorDataType */
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g_return_val_if_fail (data_type <= GST_TENSOR_DATA_TYPE_BFLOAT16, NULL);
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g_return_val_if_fail (batch_size > 0, NULL);
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g_return_val_if_fail (GST_IS_BUFFER (data), NULL);
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g_return_val_if_fail (dims_order == GST_TENSOR_DIM_ORDER_ROW_MAJOR ||
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dims_order == GST_TENSOR_DIM_ORDER_COL_MAJOR, NULL);
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g_return_val_if_fail (num_dims > 0, NULL);
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for (i = 0; i < num_dims; i++) {
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g_return_val_if_fail (dims[i] > 0, NULL);
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num_elements *= dims[i];
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}
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num_elements *= batch_size;
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if (gst_buffer_get_size (data) != size_for_elements (data_type, num_elements)) {
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g_critical ("Expected buffer of size %zu (%zu elements),"
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" but buffer has size %zu",
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size_for_elements (data_type, num_elements), num_elements,
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gst_buffer_get_size (data));
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return NULL;
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}
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tensor = gst_tensor_alloc (num_dims);
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tensor->id = id;
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tensor->layout = GST_TENSOR_LAYOUT_STRIDED;
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tensor->data_type = data_type;
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tensor->batch_size = batch_size;
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tensor->data = data;
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tensor->dims_order = dims_order;
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tensor->num_dims = num_dims;
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for (i = 0; i < num_dims; i++) {
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tensor->dims[i].size = dims[i];
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if (dims_order == GST_TENSOR_DIM_ORDER_COL_MAJOR)
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tensor->dims[i].order_index = i;
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else if (dims_order == GST_TENSOR_DIM_ORDER_ROW_MAJOR)
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tensor->dims[i].order_index = num_dims - i - 1;
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}
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return tensor;
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}
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/**
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* gst_tensor_free:
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* @tensor: (in) (transfer full): pointer to tensor to free
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*
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* Free tensor
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*
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* Since: 1.26
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*/
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void
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gst_tensor_free (GstTensor * tensor)
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{
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if (tensor->data != NULL) {
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gst_buffer_unref (tensor->data);
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}
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g_free (tensor);
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}
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/**
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* gst_tensor_copy:
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* @tensor: (transfer none) (nullable): a #GstTensor to be copied
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*
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* Create a copy of @tensor.
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*
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* Returns: (transfer full) (nullable): a new #GstTensor
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*
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* Since: 1.26
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*/
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GstTensor *
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gst_tensor_copy (const GstTensor * tensor)
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{
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GstTensor *copy = NULL;
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if (tensor) {
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copy = (GstTensor *) g_memdup2 (tensor, GST_TENSOR_SIZE (tensor->num_dims));
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if (copy->data)
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gst_buffer_ref (copy->data);
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}
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return copy;
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}
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/**
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* gst_tensor_get_dims:
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* @tensor: a #GstTensor
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* @num_dims: (out): The number of dimensions
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*
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* Gets the dimensions of the tensor.
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*
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* Returns: (array length=num_dims) (transfer none): The dims array form the tensor
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*
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* Since: 1.26
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*/
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GstTensorDim *
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gst_tensor_get_dims (GstTensor * tensor, gsize * num_dims)
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{
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if (num_dims)
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*num_dims = tensor->num_dims;
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return tensor->dims;
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}
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