diff options
Diffstat (limited to 'src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp b/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp index 714ca8e6d1..1390451ed8 100644 --- a/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp +++ b/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp @@ -130,8 +130,13 @@ void ClTransposedConvolutionKernel::configure(const CLCompileContext &compile_co Window win; output_shape.collapse(2U, 1U); // Collapse width and height into single dimension + const unsigned int n0 = adjust_vec_size(16 / output->element_size(), output_channels); + const unsigned int m0 = 1; + const unsigned int k0 = adjust_vec_size(16 / input->element_size(), input_channels); + const unsigned int partial_store_n0 = output_channels % n0; + // Create window and update padding - win = calculate_max_window(output_shape, Steps(1, 1)); + win = calculate_max_window(output_shape, Steps(n0, m0)); ICLKernel::configure_internal(win); const std::string kernel_name = "transposed_convolution_nhwc"; @@ -140,11 +145,6 @@ void ClTransposedConvolutionKernel::configure(const CLCompileContext &compile_co const DataType input_data_type = input->data_type(); const PaddingInfo strides = deconv_info.stride(); - const unsigned int n0 = 1; - const unsigned int m0 = 1; - const unsigned int k0 = adjust_vec_size(16 / input->element_size(), input_channels); - const unsigned int partial_store_n0 = output_channels % n0; - if(biases != nullptr) { build_options.add_option(std::string("-DHAS_BIAS")); |