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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h11
1 files changed, 7 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h
index 7dabed1814..a38446293b 100644
--- a/arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h
@@ -53,17 +53,20 @@ public:
* @param[in] input Source tensor. 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.
* @param[in] depthwise_weights Depthwise convolution weights tensor. These are 3D tensors with dimensions [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input.
+ * @param[in] depthwise_biases (Optional) Biases tensor.Biases are 1D tensor with dimensions [IFM]. Must be nullptr if not needed.
+ * Data type supported: Same as @p weights.
* @param[out] depthwise_out Depthwise destination tensor.
* @param[in] pointwise_weights Pointwise convolution weights tensor. These are 4D tensors with dimensions [1, 1, IFM, OFM]. Data type supported: Same as @p input.
- * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
+ * @param[in] pointwise_biases (Optional) Biases tensor. Biases are 1D tensor with dimensions [OFM]. Must be nullptr if not needed.
+ * Data type supported: Same as @p weights.
* @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
* Data types supported: Same as @p input.
* @param[in] depthwise_conv_info Contains padding and stride information described in @ref PadStrideInfo for depthwise convolution.
* @param[in] pointwise_conv_info Contains padding and stride information described in @ref PadStrideInfo for pointwise convolution.
*/
- void configure(ICLTensor *input, const ICLTensor *depthwise_weights, ICLTensor *depthwise_out, const ICLTensor *pointwise_weights, const ICLTensor *biases, ICLTensor *output,
- const PadStrideInfo &depthwise_conv_info,
- const PadStrideInfo &pointwise_conv_info);
+ void configure(ICLTensor *input, const ICLTensor *depthwise_weights, const ICLTensor *depthwise_biases, ICLTensor *depthwise_out,
+ const ICLTensor *pointwise_weights, const ICLTensor *pointwise_biases, ICLTensor *output,
+ const PadStrideInfo &depthwise_conv_info, const PadStrideInfo &pointwise_conv_info);
// Inherited methods overriden:
void run() override;