Functions
int	csinn_abs (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `abs` for each element of input tensor. More...

int	csinn_acos (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `acos` for each element of input tensor. More...

int	csinn_acosh (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `acosh` for each element of input tensor. More...

int	csinn_add (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Add each element of two input tensors. More...

int	csinn_all (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate `Reduce AND` of input tensor on the specified dimensions. More...

int	csinn_and (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `AND` for each element of two input tensors. More...

int	csinn_any (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate `Reduce OR` of input tensor on the specified dimensions. More...

int	csinn_arange (struct csinn_tensor output, struct csinn_arange_params params)
	Return the position information within the range according to the parameters. More...

int	csinn_argmax (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the index of the maximum value of input tensor on the specified dimensions. More...

int	csinn_argmin (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the index of the minimum value of input tensor on the specified dimensions. More...

int	csinn_asin (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `asin` for each element of input tensor. More...

int	csinn_asinh (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `asinh` for each element of input tensor. More...

int	csinn_atan (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `atan` for each element of input tensor. More...

int	csinn_atanh (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `atanh` for each element of input tensor. More...

int	csinn_avgpool2d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pool_params *params)
	Two-dimensional average pooling function. More...

int	csinn_avgpool3d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pool_params *params)
	Three-dimensional average pooling function. More...

int	csinn_batch_normalization (struct csinn_tensor input, struct csinn_tensor mean, struct csinn_tensor variance, struct csinn_tensor gamma, struct csinn_tensor beta, struct csinn_tensor output, struct csinn_bn_params *params)
	Batch normalization function. More...

int	csinn_batch_to_space (struct csinn_tensor input, struct csinn_tensor output, struct csinn_batch_to_space_params *params)
	Fill the batch into the height and width of input tensor. More...

int	csinn_batch_to_space_nd (struct csinn_tensor input, struct csinn_tensor output, struct csinn_batch_to_space_nd_params *params)
	Fill the batch into the spatial dimensions such as height and width of input tensor. More...

int	csinn_broadcast_to (struct csinn_tensor input, struct csinn_tensor output, struct csinn_broadcast_to_params *params)
	Broadcast the input tensor. More...

int	csinn_cache_conv1d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor weight, struct csinn_tensor bias, struct csinn_cache_conv1d_params *params)
	Cache conv1d function. More...

int	csinn_cache_matmul (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor weight, struct csinn_tensor bias, struct csinn_cache_matmul_params *params)
	Cache matmul function. More...

int	csinn_cast (struct csinn_tensor input, struct csinn_tensor output, struct csinn_cast_params *params)
	Data convert function. More...

int	csinn_ceil (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `ceil` for each element of input tensor. More...

int	csinn_clip (struct csinn_tensor input, struct csinn_tensor output, struct csinn_clip_params *params)
	Saturate the input tensor. More...

int	csinn_col2im (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_col2im_params params)
	Convert columns to image. More...

int	csinn_concat (struct csinn_tensor *input, struct csinn_tensor output, struct csinn_concat_params *params)
	Concat multiple input tensors according to the specified dimension. More...

int	csinn_conv2d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv2d_params *params)
	Two-dimensional convolution function. More...

int	csinn_conv1d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv1d_params *params)
	One-dimensional convolution function. More...

int	csinn_conv3d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv3d_params *params)
	Three-dimensional convolution function. More...

int	csinn_conv2d_relu (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv2d_params *params)
	Two-dimensional convolution and ReLU fusion function. More...

int	csinn_conv2d_relu6 (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv2d_params *params)
	Two-dimensional convolution and ReLU6 fusion function. More...

int	csinn_cos (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `cos` for each element of input tensor. More...

int	csinn_cosh (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `cosh` for each element of input tensor. More...

int	csinn_crop (struct csinn_tensor input, struct csinn_tensor output, struct csinn_crop_params *params)
	Crop input tensor. More...

int	csinn_cumprod (struct csinn_tensor input, struct csinn_tensor output, struct csinn_cumprod_params *params)
	Calculate the cumulative product value of input tensor on the specified dimensions. More...

int	csinn_cumsum (struct csinn_tensor input, struct csinn_tensor output, struct csinn_cumsum_params *params)
	Calculate the cumulative sum of input tensor on the specified dimensions. More...

int	csinn_data_convert (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Data convert function. More...

int	csinn_deconv2d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv2d_params *params)
	Two-dimensional deconvolution function. More...

int	csinn_deconv3d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv3d_params *params)
	Three-dimensional deconvolution function. More...

int	csinn_depth_to_space (struct csinn_tensor input, struct csinn_tensor output, struct csinn_depth_to_space_params *params)
	Fill the depth into the height and width of input tensor. More...

int	csinn_depthwise_conv2d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv2d_params *params)
	Two-dimensional depthwise convolution function. More...

int	csinn_depthwise_conv2d_relu (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv2d_params *params)
	Two-dimensional depthwise convolution and ReLU fusion function. More...

int	csinn_div (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Divide each element of two input tensors. More...

int	csinn_elu (struct csinn_tensor input, struct csinn_tensor output, struct csinn_relu_params *params)
	Calculate `ELU` for each element of input tensor. More...

int	csinn_equal (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Compare whether input0 is equal to input1 for each element of two input tensors. More...

int	csinn_erf (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `erf` for each element of input tensor. More...

int	csinn_exp (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `exp` for each element of input tensor. More...

int	csinn_expand_dims (struct csinn_tensor input, struct csinn_tensor output, struct csinn_expand_dims_params *params)
	Expand the dimension of input tensor. More...

int	csinn_expm1 (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `expm1` for each element of input tensor. More...

int	csinn_flatten (struct csinn_tensor input, struct csinn_tensor output, struct csinn_flatten_params *params)
	Flatten input tensor. More...

int	csinn_floor (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `floor` for each element of input tensor. More...

int	csinn_floor_divide (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Floor divide each element of two input tensors. More...

int	csinn_floor_mod (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `Floor MOD` for each element of two input tensors. More...

int	csinn_fsmn (struct csinn_tensor frame, struct csinn_tensor l_filter, struct csinn_tensor r_filter, struct csinn_tensor frame_sequence, struct csinn_tensor frame_counter, struct csinn_tensor output, struct csinn_fsmn_params *params)
	Feedforward Sequential Memory Network function. More...

int	csinn_fullyconnected (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor weights, struct csinn_tensor bias, struct csinn_fc_params *params)
	Fully Connected function. More...

int	csinn_gather (struct csinn_tensor input, struct csinn_tensor indices, struct csinn_tensor output, struct csinn_gather_params params)
	Gather the data in input tensor according to the specified index. More...

int	csinn_gather_nd (struct csinn_tensor input, struct csinn_tensor indices, struct csinn_tensor output, struct csinn_gather_nd_params params)
	Gather the data in input tensor according to the specified index. More...

int	csinn_global_avgpool2d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pool_params *params)
	Two-dimensional global average pooling function. More...

int	csinn_global_maxpool2d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pool_params *params)
	Two-dimensional global max pooling function. More...

int	csinn_greater (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Compare whether input0 is greater than input1 for each element of two input tensors. More...

int	csinn_greater_equal (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Compare whether input0 is greater than or equal to input1 for each element of two input tensors. More...

int	csinn_group_conv2d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor kernel, struct csinn_tensor bias, struct csinn_conv2d_params *params)
	Two-dimensional group convolution function. More...

int	csinn_hard_sigmoid (struct csinn_tensor input, struct csinn_tensor output, struct csinn_sigmoid_params *params)
	Calculate `hard sigmoid` for each element of input tensor. More...

int	csinn_im2col (struct csinn_tensor input, struct csinn_tensor output, struct csinn_im2col_params *params)
	Convert image to columns. More...

int	csinn_isnan_bool (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `isnan bool` for each element of input tensor. More...

int	csinn_l2_normalization (struct csinn_tensor input, struct csinn_tensor output, struct csinn_l2n_params *params)
	Calculate `L2 Normalization` for each element of input tensor. More...

int	csinn_l2pool (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pool_params *params)
	L2 pooling function. More...

int	csinn_layer_norm (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tensor gamma, struct csinn_tensor beta, struct csinn_layer_norm_params *params)
	Layer normalization function. More...

int	csinn_leaky_relu (struct csinn_tensor input, struct csinn_tensor output, struct csinn_relu_params *params)
	Calculate `Leaky ReLU` for each element of input tensor. More...

int	csinn_less (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Compare whether input0 is less than input1 for each element of two input tensors. More...

int	csinn_less_equal (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Compare whether input0 is less than or equal to input1 for each element of two input tensors. More...

int	csinn_log (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `log` for each element of input tensor. More...

int	csinn_log1p (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `log1p` for each element of input tensor. More...

int	csinn_log_softmax (struct csinn_tensor input, struct csinn_tensor output, struct csinn_softmax_params *params)
	Calculate `Log Softmax` for each element of input tensor. More...

int	csinn_logical_and (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `Logical AND` for each element of two input tensors. More...

int	csinn_logical_not (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `Logical NOT` for each element of two input tensors. More...

int	csinn_logical_or (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `Logical OR` for each element of two input tensors. More...

int	csinn_logical_xor (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `Logical XOR` for each element of two input tensors. More...

int	csinn_lrn (struct csinn_tensor input, struct csinn_tensor output, struct csinn_lrn_params *params)
	Calculate `Local Response Normalization` for each element of input tensor. More...

int	csinn_matmul (struct csinn_tensor mat0, struct csinn_tensor mat1, struct csinn_tensor output, struct csinn_matmul_params params)
	Calculate `Matmul` for each element of two input tensors. More...

int	csinn_max (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the maximum value of input tensor on the specified dimensions. More...

int	csinn_maximum (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `MAX` for each element of two input tensors. More...

int	csinn_maxpool2d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pool_params *params)
	Two-dimensional max pooling function. More...

int	csinn_maxpool2d_locat (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pool_params *params)
	Max pooling and with locating information function. More...

int	csinn_maxpool3d (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pool_params *params)
	Three-dimensional max pooling function. More...

int	csinn_mean (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the mean value of input tensor on the specified dimensions. More...

int	csinn_min (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the min value of input tensor on the specified dimensions. More...

int	csinn_minimum (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `MIN` for each element of two input tensors. More...

int	csinn_mod (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `MOD` for each element of two input tensors. More...

int	csinn_mul (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Multiply each element of two input tensors. More...

int	csinn_ndarray_size (struct csinn_tensor input, struct csinn_tensor output, struct csinn_ndarray_size_params *params)
	Calculate the size of input tensor data. More...

int	csinn_negative (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `negtive` for each element of input tensor. More...

int	csinn_non_max_suppression (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_non_max_suppression_params params)
	Non-max suppression function. More...

int	csinn_not (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `NOT` for each element of two input tensors. More...

int	csinn_not_equal (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Compare whether input0 is not equal to input1 for each element of two input tensors. More...

int	csinn_one_hot (struct csinn_tensor input, struct csinn_tensor output, struct csinn_one_hot_params *params)
	Return One-Hot eigenvector. More...

int	csinn_or (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `OR` for each element of two input tensors. More...

int	csinn_pad (struct csinn_tensor input, struct csinn_tensor output, struct csinn_pad_params *params)
	Padding input tensor. More...

int	csinn_power (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Power function. More...

int	csinn_prelu (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_prelu_params params)
	Calculate `PReLU` for each element of input tensor. More...

int	csinn_prod (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the product value of input tensor on the specified dimensions. More...

int	csinn_proposal (struct csinn_tensor cls_prob, struct csinn_tensor bbox_pred, struct csinn_tensor im_info, struct csinn_tensor output, struct csinn_proposal_params *params)
	Proposal initialization function. More...

int	csinn_psroipooling (struct csinn_tensor data, struct csinn_tensor rois, struct csinn_tensor output, struct csinn_psroipooling_params params)
	PS ROI pooling function. More...

int	csinn_reduce_logsumexp (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the reduced LogSumExp value of input tensor on the specified dimensions. More...

int	csinn_reduce_max (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the reduced maximum value of input tensor on the specified dimensions. More...

int	csinn_reduce_mean (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the reduced mean value of input tensor on the specified dimensions. More...

int	csinn_reduce_min (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the reduced minimum value of input tensor on the specified dimensions. More...

int	csinn_reduce_prod (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the reduced product value of input tensor on the specified dimensions. More...

int	csinn_reduce_sum (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the reduced sum of input tensor on the specified dimensions. More...

int	csinn_relu (struct csinn_tensor input, struct csinn_tensor output, struct csinn_relu_params *params)
	Calculate `ReLU` for each element of input tensor. More...

int	csinn_relu1 (struct csinn_tensor input, struct csinn_tensor output, struct csinn_relu_params *params)
	Calculate `ReLU1` for each element of input tensor. More...

int	csinn_relu6 (struct csinn_tensor input, struct csinn_tensor output, struct csinn_relu_params *params)
	Calculate `ReLU6` for each element of input tensor. More...

int	csinn_relun (struct csinn_tensor input, struct csinn_tensor output, struct csinn_relu_params *params)
	Calculate `ReLUn` for each element of input tensor. More...

int	csinn_reorg (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reorg_params *params)
	Cut the height and width, then splice them along the channel. More...

int	csinn_reshape (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reshape_params *params)
	Reset the dimensions of input tensor. Reshape is essentially a memcpy. More...

int	csinn_resize (struct csinn_tensor input, struct csinn_tensor output, struct csinn_resize_params *params)
	Resize input tensor. More...

int	csinn_reverse (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reverse_params *params)
	Flip the specified dimension of input tensor. More...

int	csinn_roi_align (struct csinn_tensor data, struct csinn_tensor rois, struct csinn_tensor output, struct csinn_roi_align_params params)
	ROI align function. More...

int	csinn_roipool (struct csinn_tensor data, struct csinn_tensor rois, struct csinn_tensor output, struct csinn_roi_pool_params params)
	ROI pooling function. More...

int	csinn_round (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `round` for each element of input tensor. More...

int	csinn_rsqrt (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `rsqrt` for each element of input tensor. More...

int	csinn_scatter_nd (struct csinn_tensor input, struct csinn_tensor indices, struct csinn_tensor updates, struct csinn_tensor output, struct csinn_scatter_nd_params *params)
	Scatter nd function. More...

int	csinn_segment_max (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_segment_params params)
	Compare the maximum value of input tensor at the specified positions. More...

int	csinn_segment_mean (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_segment_params params)
	Calculate the mean value of input tensor at the specified positions. More...

int	csinn_segment_min (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_segment_params params)
	Compare the minimum value of input tensor at the specified positions. More...

int	csinn_segment_prod (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_segment_params params)
	Calculate the product value of input tensor at the specified positions. More...

int	csinn_segment_sum (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_segment_params params)
	Calculate the sum of input tensor at the specified positions. More...

int	csinn_select (struct csinn_tensor condition, struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_select_params *params)
	Select each element from two input tensors according to the condition tensor. More...

int	csinn_sequence_mask (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_sequence_mask_params params)
	Get the mask of sequence. More...

int	csinn_shape (struct csinn_tensor input, struct csinn_tensor output, struct csinn_shape_params *params)
	Get the dimension information of input tensor. More...

int	csinn_shuffle_channel (struct csinn_tensor input, struct csinn_tensor output, struct csinn_shuffle_channel_params *params)
	Group input tensor and shuffle them by group. More...

int	csinn_sigmoid (struct csinn_tensor input, struct csinn_tensor output, struct csinn_sigmoid_params *params)
	Calculate `sigmoid` for each element of input tensor. More...

int	csinn_sign (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `sign` for each element of input tensor. More...

int	csinn_sin (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `sin` for each element of input tensor. More...

int	csinn_sinh (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `sinh` for each element of input tensor. More...

int	csinn_slice (struct csinn_tensor input, struct csinn_tensor output, struct csinn_slice_params *params)
	Slice input tensor. More...

int	csinn_softmax (struct csinn_tensor input, struct csinn_tensor output, struct csinn_softmax_params *params)
	Calculate `Softmax` for each element of input tensor. More...

int	csinn_softplus (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `Softplus` for each element of input tensor. More...

int	csinn_softrelu (struct csinn_tensor input, struct csinn_tensor output, struct csinn_relu_params *params)
	Calculate `Soft ReLU` for each element of input tensor. More...

int	csinn_softsign (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `softsign` for each element of input tensor. More...

int	csinn_space_to_batch (struct csinn_tensor input, struct csinn_tensor output, struct csinn_space_to_batch_params *params)
	Fill the batch according to the height and width of input tensor. More...

int	csinn_space_to_batch_nd (struct csinn_tensor input, struct csinn_tensor output, struct csinn_space_to_batch_nd_params *params)
	Fill the batch according to the spatial dimensions such as height and width of input tensor. More...

int	csinn_space_to_depth (struct csinn_tensor input, struct csinn_tensor output, struct csinn_space_to_depth_params *params)
	Fill the depth according to the height and width of input tensor. More...

int	csinn_split (struct csinn_tensor input, struct csinn_tensor output, struct csinn_split_params params)
	Split input tensor into multiple tensors according to the specified dimensions. More...

int	csinn_sqrt (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `sqrt` for each element of input tensor. More...

int	csinn_square (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `square` for each element of input tensor. More...

int	csinn_squeeze (struct csinn_tensor input, struct csinn_tensor output, struct csinn_squeeze_params *params)
	Tile the data in input tensor. More...

int	csinn_stack (struct csinn_tensor *input, struct csinn_tensor output, struct csinn_stack_params *params)
	Stack/splice several input tensors. More...

int	csinn_strided_slice (struct csinn_tensor input, struct csinn_tensor output, struct csinn_strided_slice_params *params)
	Slice the input tensor by stride. More...

int	csinn_sub (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Subtract each element of two input tensors. More...

int	csinn_sum (struct csinn_tensor input, struct csinn_tensor output, struct csinn_reduce_params *params)
	Calculate the sum of input tensor on the specified dimensions. More...

int	csinn_tan (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `tan` for each element of input tensor. More...

int	csinn_tanh (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `tan` for each element of input tensor. More...

int	csinn_threshold_relu (struct csinn_tensor input, struct csinn_tensor output, struct csinn_relu_params *params)
	Calculate `Threshold ReLU` for each element of input tensor. More...

int	csinn_tile (struct csinn_tensor input, struct csinn_tensor output, struct csinn_tile_params *params)
	Repeat input tensor. More...

int	csinn_topk (struct csinn_tensor input, struct csinn_tensor output1, struct csinn_tensor output2, struct csinn_topk_params params)
	Find the maximum k elements and their indices of input tensor. More...

int	csinn_transpose (struct csinn_tensor input, struct csinn_tensor output, struct csinn_transpose_params *params)
	Transpose function. More...

int	csinn_trunc (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Calculate `trunc` for each element of input tensor. More...

int	csinn_unpooling (struct csinn_tensor input, struct csinn_tensor mask, struct csinn_tensor output, struct csinn_unpooling_params params)
	Unpooling function. More...

int	csinn_unstack (struct csinn_tensor input, struct csinn_tensor output, struct csinn_unstack_params params)
	Unstack input tensor. More...

int	csinn_where (struct csinn_tensor condition, struct csinn_tensor x, struct csinn_tensor y, struct csinn_tensor output, struct csinn_where_params *params)
	Select each element from two input tensors according to the condition tensor. More...

int	csinn_where_softmax (struct csinn_tensor condition, struct csinn_tensor y, struct csinn_tensor output, struct csinn_where_softmax_params params)
	Select each element from two input tensors according to the condition tensor. More...

int	csinn_xor (struct csinn_tensor input0, struct csinn_tensor input1, struct csinn_tensor output, struct csinn_diso_params params)
	Calculate `XOR` for each element of two input tensors. More...

int	csinn_yuv_rgb_scale (struct csinn_tensor input, struct csinn_tensor output, struct csinn_siso_params *params)
	Convert YUV to RGB. More...

Detailed Description

Function Documentation

◆ csinn_abs()

int csinn_abs	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate abs for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Abs parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_acos()

int csinn_acos	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate acos for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	acos parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_acosh()

int csinn_acosh	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate acosh for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	acosh parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_add()

int csinn_add	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Add each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Add parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_all()

int csinn_all	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate Reduce AND of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	All parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_and()

int csinn_and	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate AND for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	AND parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_any()

int csinn_any	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate Reduce OR of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Any parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_arange()

int csinn_arange	(	struct csinn_tensor *	output,
		struct csinn_arange_params *	params
	)

Return the position information within the range according to the parameters.

Parameters

[out]	output	Pointer to the output tensor
[in]	params	Arange parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_argmax()

int csinn_argmax	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the index of the maximum value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Argmax parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_argmin()

int csinn_argmin	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the index of the minimum value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Argmin parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_asin()

int csinn_asin	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate asin for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	asin parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_asinh()

int csinn_asinh	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate asinh for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	asinh parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_atan()

int csinn_atan	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate atan for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	atan parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_atanh()

int csinn_atanh	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate atanh for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	atanh parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_avgpool2d()

int csinn_avgpool2d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pool_params *	params
	)

Two-dimensional average pooling function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_avgpool3d()

int csinn_avgpool3d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pool_params *	params
	)

Three-dimensional average pooling function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_batch_normalization()

int csinn_batch_normalization	(	struct csinn_tensor *	input,
		struct csinn_tensor *	mean,
		struct csinn_tensor *	variance,
		struct csinn_tensor *	gamma,
		struct csinn_tensor *	beta,
		struct csinn_tensor *	output,
		struct csinn_bn_params *	params
	)

Batch normalization function.

Parameters

[in]	input	Pointer to the input tensor
[in]	mean	Mean value used to calculate BN
[in]	variance	Variance used to caculate BN
[in]	gamma	γ coefficient used to caculate BN
[in]	beta	β coefficient used to caculate BN
[out]	output	Pointer to the output tensor
[in]	params	Batch normalization parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Usually, after deploying tools to process the model, the BN layer can be merged with the previous convolution layer

◆ csinn_batch_to_space()

int csinn_batch_to_space	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_batch_to_space_params *	params
	)

Fill the batch into the height and width of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Batch to space parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_batch_to_space_nd()

int csinn_batch_to_space_nd	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_batch_to_space_nd_params *	params
	)

Fill the batch into the spatial dimensions such as height and width of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Batch to space nd parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_broadcast_to()

int csinn_broadcast_to	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_broadcast_to_params *	params
	)

Broadcast the input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Broadcast to parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_cache_conv1d()

int csinn_cache_conv1d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	weight,
		struct csinn_tensor *	bias,
		struct csinn_cache_conv1d_params *	params
	)

Cache conv1d function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	weight	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Cache conv1d parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_cache_matmul()

int csinn_cache_matmul	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	weight,
		struct csinn_tensor *	bias,
		struct csinn_cache_matmul_params *	params
	)

Cache matmul function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	weight	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Cache matmul parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_cast()

int csinn_cast	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_cast_params *	params
	)

Data convert function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Data convert parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_ceil()

int csinn_ceil	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate ceil for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Ceil parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_clip()

int csinn_clip	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_clip_params *	params
	)

Saturate the input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Clip parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_col2im()

int csinn_col2im	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_col2im_params *	params
	)

Convert columns to image.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	params	col2im parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_concat()

int csinn_concat	(	struct csinn_tensor **	input,
		struct csinn_tensor *	output,
		struct csinn_concat_params *	params
	)

Concat multiple input tensors according to the specified dimension.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Concat parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_conv2d()

int csinn_conv2d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv2d_params *	params
	)

Two-dimensional convolution function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Support floating point and 8-bit fixed point.
Support NCHW and NHWC layouts.

◆ csinn_conv1d()

int csinn_conv1d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv1d_params *	params
	)

One-dimensional convolution function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_conv3d()

int csinn_conv3d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv3d_params *	params
	)

Three-dimensional convolution function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_conv2d_relu()

int csinn_conv2d_relu	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv2d_params *	params
	)

Two-dimensional convolution and ReLU fusion function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_conv2d_relu6()

int csinn_conv2d_relu6	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv2d_params *	params
	)

Two-dimensional convolution and ReLU6 fusion function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_cos()

int csinn_cos	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate cos for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	col parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_cosh()

int csinn_cosh	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate cosh for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	colh parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_crop()

int csinn_crop	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_crop_params *	params
	)

Crop input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Crop parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_cumprod()

int csinn_cumprod	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_cumprod_params *	params
	)

Calculate the cumulative product value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Cumprod parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_cumsum()

int csinn_cumsum	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_cumsum_params *	params
	)

Calculate the cumulative sum of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Cumsum parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_data_convert()

int csinn_data_convert	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Data convert function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Data convert parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_deconv2d()

int csinn_deconv2d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv2d_params *	params
	)

Two-dimensional deconvolution function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_deconv3d()

int csinn_deconv3d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv3d_params *	params
	)

Three-dimensional deconvolution function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_depth_to_space()

int csinn_depth_to_space	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_depth_to_space_params *	params
	)

Fill the depth into the height and width of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Depth to space parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_depthwise_conv2d()

int csinn_depthwise_conv2d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv2d_params *	params
	)

Two-dimensional depthwise convolution function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_depthwise_conv2d_relu()

int csinn_depthwise_conv2d_relu	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv2d_params *	params
	)

Two-dimensional depthwise convolution and ReLU fusion function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_div()

int csinn_div	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Divide each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Div parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_elu()

int csinn_elu	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_relu_params *	params
	)

Calculate ELU for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	ELU parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_equal()

int csinn_equal	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Compare whether input0 is equal to input1 for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Equal parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_erf()

int csinn_erf	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate erf for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Erf parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_exp()

int csinn_exp	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate exp for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Exp parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_expand_dims()

int csinn_expand_dims	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_expand_dims_params *	params
	)

Expand the dimension of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Expand dims parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_expm1()

int csinn_expm1	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate expm1 for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Expm1 parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_flatten()

int csinn_flatten	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_flatten_params *	params
	)

Flatten input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Flatten parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_floor()

int csinn_floor	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate floor for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Floor parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_floor_divide()

int csinn_floor_divide	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Floor divide each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Floor div parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_floor_mod()

int csinn_floor_mod	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate Floor MOD for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Floor mod parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_fsmn()

int csinn_fsmn	(	struct csinn_tensor *	frame,
		struct csinn_tensor *	l_filter,
		struct csinn_tensor *	r_filter,
		struct csinn_tensor *	frame_sequence,
		struct csinn_tensor *	frame_counter,
		struct csinn_tensor *	output,
		struct csinn_fsmn_params *	params
	)

Feedforward Sequential Memory Network function.

Parameters

[in]	frame	Point to the current input frame data
[in]	l_filter	Left coefficient matrix, used for matrix calculation with past frames
[in]	r_filter	Right coefficient matrix for matrix calculation with future frames
[in]	frame_sequence	Point to all currently calculated frame data
[in]	frame_counter	Frame counter
[out]	output	Pointer to the output tensor
[in]	params	FSMN parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

FSMN is essentially a feedforward full connection network (FNN). Its innovation lies in the addition of a memory block in its hidden layer. The function of the memory module is to encode the front and rear units of each hidden state together, so as to capture the front and rear relations of the sequence.

◆ csinn_fullyconnected()

int csinn_fullyconnected	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	weights,
		struct csinn_tensor *	bias,
		struct csinn_fc_params *	params
	)

Fully Connected function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	weights	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Fully Connected parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_gather()

int csinn_gather	(	struct csinn_tensor *	input,
		struct csinn_tensor *	indices,
		struct csinn_tensor *	output,
		struct csinn_gather_params *	params
	)

Gather the data in input tensor according to the specified index.

Parameters

[in]	input	Pointer to the input tensor
[in]	indices	Pointer to the index tensor
[out]	output	Pointer to the output tensor
[in]	params	Gather parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_gather_nd()

int csinn_gather_nd	(	struct csinn_tensor *	input,
		struct csinn_tensor *	indices,
		struct csinn_tensor *	output,
		struct csinn_gather_nd_params *	params
	)

Gather the data in input tensor according to the specified index.

Parameters

[in]	input	Pointer to the input tensor
[in]	indices	Pointer to the index tensor
[out]	output	Pointer to the output tensor
[in]	params	Gather_nd parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_global_avgpool2d()

int csinn_global_avgpool2d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pool_params *	params
	)

Two-dimensional global average pooling function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

csinn_global_avgpool2d is a special case for csinn_avgpool2d.

◆ csinn_global_maxpool2d()

int csinn_global_maxpool2d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pool_params *	params
	)

Two-dimensional global max pooling function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

csinn_global_maxpool2d is a special case for csinn_maxpool2d.

◆ csinn_greater()

int csinn_greater	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Compare whether input0 is greater than input1 for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Greater parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_greater_equal()

int csinn_greater_equal	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Compare whether input0 is greater than or equal to input1 for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Greater equal parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_group_conv2d()

int csinn_group_conv2d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	kernel,
		struct csinn_tensor *	bias,
		struct csinn_conv2d_params *	params
	)

Two-dimensional group convolution function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	kernel	Pointer to the weight tensor
[in]	bias	Pointer to the bias tensor
[in]	params	Convolution parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_hard_sigmoid()

int csinn_hard_sigmoid	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_sigmoid_params *	params
	)

Calculate hard sigmoid for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Hard sigmoid parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_im2col()

int csinn_im2col	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_im2col_params *	params
	)

Convert image to columns.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	im2col parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_isnan_bool()

int csinn_isnan_bool	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate isnan bool for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Isnan bool parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_l2_normalization()

int csinn_l2_normalization	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_l2n_params *	params
	)

Calculate L2 Normalization for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	L2 normalization parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_l2pool()

int csinn_l2pool	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pool_params *	params
	)

L2 pooling function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_layer_norm()

int csinn_layer_norm	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_tensor *	gamma,
		struct csinn_tensor *	beta,
		struct csinn_layer_norm_params *	params
	)

Layer normalization function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	gamma	γ coefficient used to caculate LN
[in]	beta	β coefficient used to caculate LN
[in]	params	Layer normalization parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_leaky_relu()

int csinn_leaky_relu	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_relu_params *	params
	)

Calculate Leaky ReLU for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Leaky ReLU parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_less()

int csinn_less	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Compare whether input0 is less than input1 for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Less parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_less_equal()

int csinn_less_equal	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Compare whether input0 is less than or equal to input1 for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Less equal parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_log()

int csinn_log	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate log for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Log parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_log1p()

int csinn_log1p	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate log1p for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Log1p parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_log_softmax()

int csinn_log_softmax	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_softmax_params *	params
	)

Calculate Log Softmax for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Log softmax parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_logical_and()

int csinn_logical_and	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate Logical AND for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Logical AND parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_logical_not()

int csinn_logical_not	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate Logical NOT for each element of two input tensors.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Logical NOT parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_logical_or()

int csinn_logical_or	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate Logical OR for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Logical OR parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_logical_xor()

int csinn_logical_xor	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate Logical XOR for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Logical XOR parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_lrn()

int csinn_lrn	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_lrn_params *	params
	)

Calculate Local Response Normalization for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	LRN parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_matmul()

int csinn_matmul	(	struct csinn_tensor *	mat0,
		struct csinn_tensor *	mat1,
		struct csinn_tensor *	output,
		struct csinn_matmul_params *	params
	)

Calculate Matmul for each element of two input tensors.

Parameters

[in]	mat0	Pointer to the input0 tensor
[in]	mat1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Matmul parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_max()

int csinn_max	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the maximum value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Max parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_maximum()

int csinn_maximum	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate MAX for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Maximum parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_maxpool2d()

int csinn_maxpool2d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pool_params *	params
	)

Two-dimensional max pooling function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_maxpool2d_locat()

int csinn_maxpool2d_locat	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pool_params *	params
	)

Max pooling and with locating information function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_maxpool3d()

int csinn_maxpool3d	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pool_params *	params
	)

Three-dimensional max pooling function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_mean()

int csinn_mean	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the mean value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Mean parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_min()

int csinn_min	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the min value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Min parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_minimum()

int csinn_minimum	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate MIN for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Minimum parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_mod()

int csinn_mod	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate MOD for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Mod parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_mul()

int csinn_mul	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Multiply each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Mul parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_ndarray_size()

int csinn_ndarray_size	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_ndarray_size_params *	params
	)

Calculate the size of input tensor data.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Ndarray size parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_negative()

int csinn_negative	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate negtive for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Negative parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_non_max_suppression()

int csinn_non_max_suppression	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_non_max_suppression_params *	params
	)

Non-max suppression function.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Non-max suppression parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Non-max suppression is generally used for post-processing of detection models to filter out redundant candidate frames.

◆ csinn_not()

int csinn_not	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate NOT for each element of two input tensors.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	NOT parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_not_equal()

int csinn_not_equal	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Compare whether input0 is not equal to input1 for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Not equal parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_one_hot()

int csinn_one_hot	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_one_hot_params *	params
	)

Return One-Hot eigenvector.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	One Hot parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_or()

int csinn_or	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate OR for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	OR parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_pad()

int csinn_pad	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_pad_params *	params
	)

Padding input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Pad parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_power()

int csinn_power	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Power function.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Power parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

The first tensor is the base of POW, and the second tensor is the exponential of POW.

◆ csinn_prelu()

int csinn_prelu	(	struct csinn_tensor *	input,
		struct csinn_tensor *	alpha,
		struct csinn_tensor *	output,
		struct csinn_prelu_params *	params
	)

Calculate PReLU for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[in]	alpha	Pointer to the α coefficient tensor
[out]	output	Pointer to the output tensor
[in]	params	PReLU parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_prod()

int csinn_prod	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the product value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Prod parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_proposal()

int csinn_proposal	(	struct csinn_tensor *	cls_prob,
		struct csinn_tensor *	bbox_pred,
		struct csinn_tensor *	im_info,
		struct csinn_tensor *	output,
		struct csinn_proposal_params *	params
	)

Proposal initialization function.

Parameters

[in]	cls_prob	Pointer to the classification input tensor
[in]	bbox_pred	Pointer to the box input tensor
[in]	im_info	Pointer to the image input tensor
[out]	output	Pointer to the output tensor
[in]	params	Proposal parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Special layer from the Faster RCNN.

◆ csinn_psroipooling()

int csinn_psroipooling	(	struct csinn_tensor *	data,
		struct csinn_tensor *	rois,
		struct csinn_tensor *	output,
		struct csinn_psroipooling_params *	params
	)

PS ROI pooling function.

Parameters

[in]	data	Pointer to the input tensor
[in]	rois	ROI information
[out]	output	Pointer to the output tensor
[in]	params	PS ROI pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reduce_logsumexp()

int csinn_reduce_logsumexp	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the reduced LogSumExp value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reduce LogSumExp parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reduce_max()

int csinn_reduce_max	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the reduced maximum value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reduce max parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reduce_mean()

int csinn_reduce_mean	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the reduced mean value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reduce mean parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reduce_min()

int csinn_reduce_min	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the reduced minimum value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reduce min parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reduce_prod()

int csinn_reduce_prod	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the reduced product value of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reduce prod parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reduce_sum()

int csinn_reduce_sum	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the reduced sum of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reduce sum parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_relu()

int csinn_relu	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_relu_params *	params
	)

Calculate ReLU for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	ReLU parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_relu1()

int csinn_relu1	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_relu_params *	params
	)

Calculate ReLU1 for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	ReLU1 parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_relu6()

int csinn_relu6	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_relu_params *	params
	)

Calculate ReLU6 for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	ReLU6 parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_relun()

int csinn_relun	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_relu_params *	params
	)

Calculate ReLUn for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	ReLUn parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reorg()

int csinn_reorg	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reorg_params *	params
	)

Cut the height and width, then splice them along the channel.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reorg parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reshape()

int csinn_reshape	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reshape_params *	params
	)

Reset the dimensions of input tensor. Reshape is essentially a memcpy.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reshape parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_resize()

int csinn_resize	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_resize_params *	params
	)

Resize input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Resize parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_reverse()

int csinn_reverse	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reverse_params *	params
	)

Flip the specified dimension of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Reverse parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_roi_align()

int csinn_roi_align	(	struct csinn_tensor *	data,
		struct csinn_tensor *	rois,
		struct csinn_tensor *	output,
		struct csinn_roi_align_params *	params
	)

ROI align function.

Parameters

[in]	data	Pointer to the input tensor
[in]	rois	ROI information
[out]	output	Pointer to the output tensor
[in]	params	ROI align parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_roipool()

int csinn_roipool	(	struct csinn_tensor *	data,
		struct csinn_tensor *	rois,
		struct csinn_tensor *	output,
		struct csinn_roi_pool_params *	params
	)

ROI pooling function.

Parameters

[in]	data	Pointer to the input tensor
[in]	rois	ROI information
[out]	output	Pointer to the output tensor
[in]	params	ROI pooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_round()

int csinn_round	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate round for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Round parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_rsqrt()

int csinn_rsqrt	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate rsqrt for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Rsqrt parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_scatter_nd()

int csinn_scatter_nd	(	struct csinn_tensor *	input,
		struct csinn_tensor *	indices,
		struct csinn_tensor *	updates,
		struct csinn_tensor *	output,
		struct csinn_scatter_nd_params *	params
	)

Scatter nd function.

Parameters

[in]	input	Pointer to the input tensor
[in]	indices	Pointer to the index tensor
[in]	updates	Pointer to the distribution of update tensor
[out]	output	Pointer to the output tensor
[in]	params	Broadcast to parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

The index applies sparse updates to a single value or slice in the zero tensor of a given shape to create a new tensor, the inverse operation of gather_nd.

◆ csinn_segment_max()

int csinn_segment_max	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_segment_params *	params
	)

Compare the maximum value of input tensor at the specified positions.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Segment max parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_segment_mean()

int csinn_segment_mean	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_segment_params *	params
	)

Calculate the mean value of input tensor at the specified positions.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Segment mean parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_segment_min()

int csinn_segment_min	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_segment_params *	params
	)

Compare the minimum value of input tensor at the specified positions.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Segment min parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_segment_prod()

int csinn_segment_prod	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_segment_params *	params
	)

Calculate the product value of input tensor at the specified positions.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Segment prod parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_segment_sum()

int csinn_segment_sum	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_segment_params *	params
	)

Calculate the sum of input tensor at the specified positions.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Segment sum parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_select()

int csinn_select	(	struct csinn_tensor *	condition,
		struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_select_params *	params
	)

Select each element from two input tensors according to the condition tensor.

Parameters

[in]	condition	Pointer to the condition tensor
[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Select parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_sequence_mask()

int csinn_sequence_mask	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_sequence_mask_params *	params
	)

Get the mask of sequence.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Sequence mask parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

The output is usually of bool type, which can be used to fill in sentences and words.

◆ csinn_shape()

int csinn_shape	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_shape_params *	params
	)

Get the dimension information of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Shape parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_shuffle_channel()

int csinn_shuffle_channel	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_shuffle_channel_params *	params
	)

Group input tensor and shuffle them by group.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Shuffle channel parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Combined with grouping convolution, it alleviates the problem of channel locality among different groups and increases the generalization ability of the model, which is proposed in shuffelNet.

◆ csinn_sigmoid()

int csinn_sigmoid	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_sigmoid_params *	params
	)

Calculate sigmoid for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Sigmoid parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_sign()

int csinn_sign	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate sign for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Sign parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_sin()

int csinn_sin	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate sin for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	sin parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_sinh()

int csinn_sinh	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate sinh for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	sinh parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_slice()

int csinn_slice	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_slice_params *	params
	)

Slice input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Slice parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_softmax()

int csinn_softmax	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_softmax_params *	params
	)

Calculate Softmax for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Softmax parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_softplus()

int csinn_softplus	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate Softplus for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Softplus parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_softrelu()

int csinn_softrelu	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_relu_params *	params
	)

Calculate Soft ReLU for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Soft ReLU parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_softsign()

int csinn_softsign	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate softsign for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Softsign parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_space_to_batch()

int csinn_space_to_batch	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_space_to_batch_params *	params
	)

Fill the batch according to the height and width of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Space to batch parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_space_to_batch_nd()

int csinn_space_to_batch_nd	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_space_to_batch_nd_params *	params
	)

Fill the batch according to the spatial dimensions such as height and width of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Space to batch nd parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_space_to_depth()

int csinn_space_to_depth	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_space_to_depth_params *	params
	)

Fill the depth according to the height and width of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Space to depth parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_split()

int csinn_split	(	struct csinn_tensor *	input,
		struct csinn_tensor **	output,
		struct csinn_split_params *	params
	)

Split input tensor into multiple tensors according to the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Split parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_sqrt()

int csinn_sqrt	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate sqrt for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Sqrt parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_square()

int csinn_square	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate square for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Square parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_squeeze()

int csinn_squeeze	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_squeeze_params *	params
	)

Tile the data in input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Squeeze parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_stack()

int csinn_stack	(	struct csinn_tensor **	inputs,
		struct csinn_tensor *	output,
		struct csinn_stack_params *	params
	)

Stack/splice several input tensors.

Parameters

[in]	inputs	Pointer to the input tensors
[out]	output	Pointer to the output tensor
[in]	params	Stack parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Note that different from concat, the dimensions of concat output tensor and input tensor remain unchanged, and the output tensor of stack is more dimensional than input tensor.

◆ csinn_strided_slice()

int csinn_strided_slice	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_strided_slice_params *	params
	)

Slice the input tensor by stride.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Stride slice parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_sub()

int csinn_sub	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Subtract each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	Sub parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_sum()

int csinn_sum	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_reduce_params *	params
	)

Calculate the sum of input tensor on the specified dimensions.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Sum parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_tan()

int csinn_tan	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate tan for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	tan parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_tanh()

int csinn_tanh	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate tan for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	tanh parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_threshold_relu()

int csinn_threshold_relu	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_relu_params *	params
	)

Calculate Threshold ReLU for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Threshold ReLU parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_tile()

int csinn_tile	(	struct csinn_tensor *	inputs,
		struct csinn_tensor *	output,
		struct csinn_tile_params *	params
	)

Repeat input tensor.

Parameters

[in]	inputs	Pointer to the input tensors
[out]	output	Pointer to the output tensor
[in]	params	Tile parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_topk()

int csinn_topk	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output1,
		struct csinn_tensor *	output2,
		struct csinn_topk_params *	params
	)

Find the maximum k elements and their indices of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output1	Pointer to the output1 tensor
[out]	output2	Pointer to the output2 tensor
[in]	params	TOP-k parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_transpose()

int csinn_transpose	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_transpose_params *	params
	)

Transpose function.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Transpose parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Transpose the dimension order of input tensor. Transpose is basically the same as permute. Permute is not implemented for the time being. Instead, transpose is used.

◆ csinn_trunc()

int csinn_trunc	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Calculate trunc for each element of input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Trunc parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_unpooling()

int csinn_unpooling	(	struct csinn_tensor *	input,
		struct csinn_tensor *	mask,
		struct csinn_tensor *	output,
		struct csinn_unpooling_params *	params
	)

Unpooling function.

Parameters

[in]	input	Pointer to the input tensor
[in]	mask	Locating information
[out]	output	Pointer to the output tensor
[in]	params	Unpooling parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_unstack()

int csinn_unstack	(	struct csinn_tensor *	input,
		struct csinn_tensor **	output,
		struct csinn_unstack_params *	params
	)

Unstack input tensor.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	Unstack parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Note that different from split, the dimension of split output tensor and input tensor remains unchanged, and the stack output tensor is one dimension less than input tensor.

◆ csinn_where()

int csinn_where	(	struct csinn_tensor *	condition,
		struct csinn_tensor *	x,
		struct csinn_tensor *	y,
		struct csinn_tensor *	output,
		struct csinn_where_params *	params
	)

Select each element from two input tensors according to the condition tensor.

Parameters

[in]	condition	Pointer to the condition tensor
[in]	x	Pointer to the x tensor
[in]	y	Pointer to the y tensor
[out]	output	Pointer to the output tensor
[in]	params	Where parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_where_softmax()

int csinn_where_softmax	(	struct csinn_tensor *	condition,
		struct csinn_tensor *	y,
		struct csinn_tensor *	output,
		struct csinn_where_softmax_params *	params
	)

Select each element from two input tensors according to the condition tensor.

Parameters

[in]	condition	Pointer to the condition tensor
[in]	y	Pointer to the y tensor
[out]	output	Pointer to the output tensor
[in]	params	Where parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_xor()

int csinn_xor	(	struct csinn_tensor *	input0,
		struct csinn_tensor *	input1,
		struct csinn_tensor *	output,
		struct csinn_diso_params *	params
	)

Calculate XOR for each element of two input tensors.

Parameters

[in]	input0	Pointer to the input0 tensor
[in]	input1	Pointer to the input1 tensor
[out]	output	Pointer to the output tensor
[in]	params	XOR parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

◆ csinn_yuv_rgb_scale()

int csinn_yuv_rgb_scale	(	struct csinn_tensor *	input,
		struct csinn_tensor *	output,
		struct csinn_siso_params *	params
	)

Convert YUV to RGB.

Parameters

[in]	input	Pointer to the input tensor
[out]	output	Pointer to the output tensor
[in]	params	YUV RGB scale parameter descriptor

Returns: On success, the return value is 1. If an error occurred while executing the function, the return value is less than or equal to 0.

Functions

Detailed Description

Function Documentation

◆ csinn_abs()

◆ csinn_acos()

◆ csinn_acosh()

◆ csinn_add()

◆ csinn_all()

◆ csinn_and()

◆ csinn_any()

◆ csinn_arange()

◆ csinn_argmax()

◆ csinn_argmin()

◆ csinn_asin()

◆ csinn_asinh()

◆ csinn_atan()

◆ csinn_atanh()

◆ csinn_avgpool2d()

◆ csinn_avgpool3d()

◆ csinn_batch_normalization()

◆ csinn_batch_to_space()

◆ csinn_batch_to_space_nd()

◆ csinn_broadcast_to()

◆ csinn_cache_conv1d()

◆ csinn_cache_matmul()

◆ csinn_cast()

◆ csinn_ceil()

◆ csinn_clip()

◆ csinn_col2im()

◆ csinn_concat()

◆ csinn_conv2d()

◆ csinn_conv1d()

◆ csinn_conv3d()

◆ csinn_conv2d_relu()

◆ csinn_conv2d_relu6()

◆ csinn_cos()

◆ csinn_cosh()

◆ csinn_crop()

◆ csinn_cumprod()

◆ csinn_cumsum()

◆ csinn_data_convert()

◆ csinn_deconv2d()

◆ csinn_deconv3d()

◆ csinn_depth_to_space()

◆ csinn_depthwise_conv2d()

◆ csinn_depthwise_conv2d_relu()

◆ csinn_div()

◆ csinn_elu()

◆ csinn_equal()

◆ csinn_erf()

◆ csinn_exp()

◆ csinn_expand_dims()

◆ csinn_expm1()

◆ csinn_flatten()

◆ csinn_floor()

◆ csinn_floor_divide()

◆ csinn_floor_mod()

◆ csinn_fsmn()

◆ csinn_fullyconnected()

◆ csinn_gather()

◆ csinn_gather_nd()

◆ csinn_global_avgpool2d()

◆ csinn_global_maxpool2d()

◆ csinn_greater()

◆ csinn_greater_equal()

◆ csinn_group_conv2d()

◆ csinn_hard_sigmoid()

◆ csinn_im2col()

◆ csinn_isnan_bool()

◆ csinn_l2_normalization()

◆ csinn_l2pool()

◆ csinn_layer_norm()

◆ csinn_leaky_relu()

◆ csinn_less()

◆ csinn_less_equal()

◆ csinn_log()

◆ csinn_log1p()

◆ csinn_log_softmax()

◆ csinn_logical_and()

◆ csinn_logical_not()