Get the height of the feature map */

Convert float to bfloat16 * * @param[in] v Floating-point value to convert to bfloat * * @return Converted value */

Remainder of division. \param x first operand \param y second operand \return remainder of floating point division. template<typename T,typename U> ty

Generates appropriate npy output accessor according to the specified npy_path * * @note If npy_path is empty will generate a DummyAccessor else will

Get intersection over union threshold. */

Returns if aligned corners are allowed for the given sampling policy * * @param[in] sampling_policy The sampling policy to consider * * @return Tr

Checks if the input floating point number is 0.0f checking if the difference is within a range defined with epsilon * * @param[in] a Input flo

Check for NaN. \param arg number to check \retval true for NaNs \retval false else template<typename T> typename enable<bool,T>::type isnan(T arg) { r

Set the data type and number of channels to the specified value if * the current data type is unknown. * * @param[in,out] info Tensor info use

Set the dimension's end * * @param[in] end The new end */

Get share location. */

Perform a 3x3 convolution for 4 consecutive elements on float32 when dilation.x() or dilation.y() is not 1. * * @param[in] in_top Pointer to t

returns 1 if the product is valid, 0 on overflow. negative factors are considered invalid.

Returns the CL kernel type * * @return The CL kernel type */

Get if use regular nms. */

Convert bfloat16 to float * * @param[in] v Bfloat16 value to convert to float * * @return Converted value */

Clamps the given coordinates to the borders according to the border size. * * @param[in] coords Vector of 2D coordinates to clamp. Even positio

Get the clip value */

Calculate the batch to space output shape of a tensor * * @param[in] data_layout Data layout * @param[in] input Input tensor shape * @param[

Calculate the Col2Im shape * * @param[in] input Input tensor info * @param[in] convolved_dims Convolved dimensions * @param[in] batch_s

Calculate the output shape of 3d Convolution * * @param[in] src Input tensor shape * @param[in] weights Weights tensor shape * @param[

Calculate the depth to space output shape of a tensor * * @param[in] input_shape Input tensor shape * @param[in] data_layout Operation data layout

Calculate the indirect buffer output shape used by the indirect convolution function * * @param[in] input_shape Input tensor shape * @param[i

Calculate the interleaved shape of an input tensor * * @param[in] a Input tensor info * @param[in] mult_interleave4x4_heigh

Calculate the permuted shape of an input given a permutation vector * * @param[in] input Input tensor info * @param[in] perm Permutation vector *

Calculate the output shape of the reorg layer given a stride * * @param[in] input Input tensor info * @param[in] stride Stride * * @return the c

Calculate the output roi align shape of a tensor * * @param[in] input Input tensor info * @param[in] rois Rois tensor info * @param[in] p

Calculate the space to batch output shape of a tensor * * @param[in] input Input tensor info * @param[in] block_shape Block shape value * *

Calculate the tiled shape of a tensor * * @param[in] input_shape Input tensor shape * @param[in] multiples Paddings list * * @return the calcul

Construct and return object for dimensions' state filled with the value for dynamic state * * @return Constructed class filled with the value for dy

Get detection per class. Used in the Regular Non-Max-Suppression */

Get the number of detections */

Gets error code * * @return Error code. */

Generates appropriate accessor according to the specified graph parameters * * @param[in] tensor Tensor parameters * @param[in] lower Lower random