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-rw-r--r--arm_compute/core/CL/CLHelpers.h8
-rw-r--r--arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h5
2 files changed, 9 insertions, 4 deletions
diff --git a/arm_compute/core/CL/CLHelpers.h b/arm_compute/core/CL/CLHelpers.h
index eeb3e7699d..1a4476e304 100644
--- a/arm_compute/core/CL/CLHelpers.h
+++ b/arm_compute/core/CL/CLHelpers.h
@@ -53,6 +53,14 @@ static constexpr const unsigned int max_cl_vector_width = 16;
*/
std::string get_cl_type_from_data_type(const DataType &dt);
+/** Get the size of a data type in number of bits.
+ *
+ * @param[in] dt @ref DataType.
+ *
+ * @return Number of bits in the data type specified.
+ */
+std::string get_data_size_from_data_type(const DataType &dt);
+
/** Translates fixed point tensor data type to the underlying OpenCL type.
*
* @param[in] dt @ref DataType to be translated to OpenCL type.
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
index 28eecf029a..635ec883bf 100644
--- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
@@ -33,7 +33,6 @@ class ICLTensor;
/** Interface for the direct convolution kernel.
*/
-template <unsigned int kernel_size>
class CLDirectConvolutionLayerKernel : public ICLKernel
{
public:
@@ -52,7 +51,7 @@ public:
/** Set the input, weights, biases and output tensors.
*
* @param[in] input The input tensor to convolve. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F32.
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16, F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* The 3rd dimension must be the same as the input's volume 3rd dimension.
* Data type supported:Same as @p input.
@@ -80,7 +79,5 @@ private:
int _conv_stride_x;
int _conv_stride_y;
};
-
-using CLDirectConvolutionLayer3x3Kernel = CLDirectConvolutionLayerKernel<3>;
}
#endif /*__ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYERKERNEL_H__ */