diff --git a/ttnn/cpp/ttnn/operations/conv/conv2d/conv2d.cpp b/ttnn/cpp/ttnn/operations/conv/conv2d/conv2d.cpp index 2731d44bb1b..185dd47d383 100644 --- a/ttnn/cpp/ttnn/operations/conv/conv2d/conv2d.cpp +++ b/ttnn/cpp/ttnn/operations/conv/conv2d/conv2d.cpp @@ -75,10 +75,7 @@ Result conv2d( output_height, output_width, weight_tensor.get_shape()[3], - input_height, input_width, - groups, - kernel_size, compute_grid_size, compute_config, input_tensor.layout(), diff --git a/ttnn/cpp/ttnn/operations/conv/conv2d/conv2d_utils.hpp b/ttnn/cpp/ttnn/operations/conv/conv2d/conv2d_utils.hpp index b8405ae6c8e..6175bee2590 100644 --- a/ttnn/cpp/ttnn/operations/conv/conv2d/conv2d_utils.hpp +++ b/ttnn/cpp/ttnn/operations/conv/conv2d/conv2d_utils.hpp @@ -131,10 +131,7 @@ Conv2dConfig determine_conv_config_for_auto_shard( uint32_t output_height, uint32_t output_width, uint32_t weights_width, - uint32_t input_height, uint32_t input_width, - uint32_t groups, - std::array kernel_size, const CoreCoord& compute_grid_size, const DeviceComputeKernelConfig& compute_config, Layout input_tensor_layout, diff --git a/ttnn/cpp/ttnn/operations/conv/conv2d/prepare_conv2d_weights.cpp b/ttnn/cpp/ttnn/operations/conv/conv2d/prepare_conv2d_weights.cpp index 9c34a44ee08..efd80569c08 100644 --- a/ttnn/cpp/ttnn/operations/conv/conv2d/prepare_conv2d_weights.cpp +++ b/ttnn/cpp/ttnn/operations/conv/conv2d/prepare_conv2d_weights.cpp @@ -567,10 +567,7 @@ static OptimizedConvBlockConfig get_opt_block_config( output_height, output_width, kernel_size[1], - input_height, input_width, - groups, - kernel_size, device->compute_with_storage_grid_size(), compute_config, input_tensor_layout, diff --git a/ttnn/cpp/ttnn/operations/conv/conv_transpose2d/conv_transpose2d.cpp b/ttnn/cpp/ttnn/operations/conv/conv_transpose2d/conv_transpose2d.cpp index cce8178b60c..963f024f90f 100644 --- a/ttnn/cpp/ttnn/operations/conv/conv_transpose2d/conv_transpose2d.cpp +++ b/ttnn/cpp/ttnn/operations/conv/conv_transpose2d/conv_transpose2d.cpp @@ -188,10 +188,7 @@ Result conv_transpose2d( output_height, output_width, weight_tensor.get_shape()[3], - full_input_height, full_input_width, - groups, - kernel_size, compute_grid_size, compute_config, input_tensor.layout(),