diff options
Diffstat (limited to 'src/runtime/CL/functions/CLDeconvolutionLayer.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLDeconvolutionLayer.cpp | 6 |
1 files changed, 2 insertions, 4 deletions
diff --git a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp index 4c1ea5b9a2..9f3dc78022 100644 --- a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp @@ -64,12 +64,10 @@ Status CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInf const TensorShape output_shape = deconvolution_output_shape(out_dims, input->tensor_shape(), weights->tensor_shape()); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, weights); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output, weights); if(bias != nullptr) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, bias); } ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(Window::DimX) != output_shape.x(), "Output's width is invalid."); @@ -100,7 +98,7 @@ void CLDeconvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const TensorShape output_shape = deconvolution_output_shape(out_dims, input->info()->tensor_shape(), weights->info()->tensor_shape()); // Output auto initialization if not yet initialized - auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type()); // Perform validation step ARM_COMPUTE_ERROR_THROW_ON(CLDeconvolutionLayer::validate(input->info(), weights->info(), bias == nullptr ? nullptr : bias->info(), output->info(), info, inner_border_right, inner_border_top)); @@ -116,7 +114,7 @@ void CLDeconvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const unsigned int out_y = input->info()->dimension(1) + (input->info()->dimension(1) - 1) * (stride_y - 1) + inner_border_top + 2 * info.pad().second; scale_out_shape.set(0, out_x); scale_out_shape.set(1, out_y); - TensorInfo scale_out_info(scale_out_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + TensorInfo scale_out_info(scale_out_shape, 1, input->info()->data_type()); _scaled_output.allocator()->init(scale_out_info); _scale_f.configure(input, &_scaled_output, BorderSize(inner_border_top, inner_border_right), info); |