diff options
Diffstat (limited to 'src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp index 6e14e26cbd..c1a39ef26a 100644 --- a/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp @@ -55,7 +55,6 @@ Status CLDirectDeconvolutionLayer::validate(const ITensorInfo *input, const ITen ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, weights); - const DataLayout data_layout = input->data_layout(); const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); @@ -95,11 +94,11 @@ Status CLDirectDeconvolutionLayer::validate(const ITensorInfo *input, const ITen unsigned int padx = 0; unsigned int pady = 0; - const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input, *weights, stride_x, stride_y, 0, 0, out_dims, padx, pady); + const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input, *weights, stride_x, stride_y, out_dims, padx, pady); TensorInfo scale_out_info(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(scale_out_shape).set_data_layout(data_layout)); const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL); - ARM_COMPUTE_RETURN_ON_ERROR(CLDeconvolutionLayerUpsample::validate(input, &scale_out_info, BorderSize(), info)); + ARM_COMPUTE_RETURN_ON_ERROR(CLDeconvolutionLayerUpsample::validate(input, &scale_out_info, info)); ARM_COMPUTE_RETURN_ON_ERROR(CLConvolutionLayer::validate(&scale_out_info, weights, bias, output, conv_info, weights_info)); return Status{}; @@ -141,7 +140,7 @@ void CLDirectDeconvolutionLayer::configure(ICLTensor *input, ICLTensor *weights, // Find the upsampled dimensions and the padding needed for the convolution with stride 1 in order to match output shape unsigned int padx = 0; unsigned int pady = 0; - const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input->info(), *weights->info(), stride_x, stride_y, 0, 0, out_dims, padx, pady); + const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input->info(), *weights->info(), stride_x, stride_y, out_dims, padx, pady); TensorInfo scale_out_info(scale_out_shape, 1, input->info()->data_type(), input->info()->quantization_info()); scale_out_info.set_data_layout(data_layout); @@ -149,7 +148,7 @@ void CLDirectDeconvolutionLayer::configure(ICLTensor *input, ICLTensor *weights, // configure scale function const PadStrideInfo upsample_info(stride_x, stride_y, padx / 2, pady / 2); - _scale_f.configure(input, &_scaled_output, BorderSize(), upsample_info); + _scale_f.configure(input, &_scaled_output, upsample_info); // Setup the function to convolve the upscaled output const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL); |