aboutsummaryrefslogtreecommitdiff
path: root/arm_compute/runtime
diff options
context:
space:
mode:
Diffstat (limited to 'arm_compute/runtime')
-rw-r--r--arm_compute/runtime/CL/functions/CLConvolutionLayer.h14
-rw-r--r--arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h18
2 files changed, 16 insertions, 16 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
index 6a40396f9a..8030b40a71 100644
--- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
@@ -53,7 +53,7 @@ public:
CLConvolutionLayerReshapeWeights();
/** Set the input and output tensors.
*
- * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: F32.
+ * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: QS8/F16/F32.
* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
* @param[out] output Destination tensor. Data types supported: Same as @p weights.
* @param[in] transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise.
@@ -64,16 +64,16 @@ public:
void run() override;
private:
- CLConvolutionLayerWeightsReshapeKernel _weights_reshape_kernel;
- CLGEMMTranspose1xWKernel _weights_transposed_kernel;
- CLTensor _weights_reshaped;
- bool _transpose1xW;
+ CLWeightsReshapeKernel _weights_reshape_kernel;
+ CLGEMMTranspose1xWKernel _weights_transposed_kernel;
+ CLTensor _weights_reshaped;
+ bool _transpose1xW;
};
/** Basic function to compute the convolution layer. This function calls the following OpenCL kernels:
*
- * -# @ref CLConvolutionLayerWeightsReshapeKernel (executed only once for each configuration)
- * -# @ref CLGEMMTranspose1xWKernel (executed only once for each configuration)
+ * -# @ref CLWeightsReshapeKernel (executed only once for each configuration)
+ * -# @ref CLGEMMTranspose1xWKernel (executed only once for each configuration)
* -# @ref CLIm2ColKernel
* -# @ref CLGEMMInterleave4x4Kernel
* -# @ref CLGEMMMatrixMultiplyKernel
diff --git a/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h b/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h
index b4e469196e..5f4f1ba1d7 100644
--- a/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h
+++ b/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h
@@ -39,7 +39,7 @@ class ICLTensor;
/** Basic function to compute the locally connected layer. This function calls the following OpenCL kernels:
*
- * -# @ref CLLocallyConnectedLayerWeightsReshapeKernel (executed only once for each configuration)
+ * -# @ref CLWeightsReshapeKernel (executed only once for each configuration)
* -# @ref CLIm2ColKernel
* -# @ref CLLocallyConnectedMatrixMultiplyKernel
* -# @ref CLCol2ImKernel
@@ -66,14 +66,14 @@ public:
void run() override;
private:
- CLIm2ColKernel _input_im2col_kernel;
- CLLocallyConnectedLayerWeightsReshapeKernel _weights_reshape_kernel;
- CLLocallyConnectedMatrixMultiplyKernel _mm_kernel;
- CLCol2ImKernel _output_col2im_kernel;
- CLTensor _input_im2col_reshaped;
- CLTensor _weights_reshaped;
- CLTensor _gemm_output;
- bool _is_first_run;
+ CLIm2ColKernel _input_im2col_kernel;
+ CLWeightsReshapeKernel _weights_reshape_kernel;
+ CLLocallyConnectedMatrixMultiplyKernel _mm_kernel;
+ CLCol2ImKernel _output_col2im_kernel;
+ CLTensor _input_im2col_reshaped;
+ CLTensor _weights_reshaped;
+ CLTensor _gemm_output;
+ bool _is_first_run;
};
}
#endif /* __ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H__ */