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-rw-r--r--src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp2
-rw-r--r--src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp1
2 files changed, 0 insertions, 3 deletions
diff --git a/src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp b/src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp
index 4acbe2dff8..d5d808a80f 100644
--- a/src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp
+++ b/src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp
@@ -348,7 +348,6 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITen
TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*input, *weights, conv_info);
// Output auto inizialitation if not yet initialized
- // TODO(COMPMID-2078): input->clone()->set_tensor_shape(output_shape) doesn't work with subtensors for grouped direct convolutions (AlexNet).
auto_init_if_empty(*output, output_shape,
1,
input->data_type(),
@@ -433,7 +432,6 @@ void CLDirectConvolutionLayerKernel::configure(const CLCompileContext &compile_c
TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*input->info(), *weights->info(), conv_info);
// Output auto inizialitation if not yet initialized
- // TODO(COMPMID-2078): input->clone()->set_tensor_shape(output_shape) doesn't work with subtensors for grouped direct convolutions (AlexNet).
auto_init_if_empty(*output->info(),
output_shape,
1,
diff --git a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp
index a0d8c3beeb..ee90b39c2b 100644
--- a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp
@@ -312,7 +312,6 @@ void CLGEMMConvolutionLayer::configure(const CLCompileContext &compile_context,
shape_gemm.set(0, mat_weights_cols);
shape_gemm.set(1, conv_w * conv_h);
- // TODO(COMPMID-2078): input->clone() doesn't work with subtensors for grouped convolutions.
TensorInfo info_gemm(shape_gemm, 1, data_type);
info_gemm.set_quantization_info(output->info()->quantization_info()).set_data_layout(input->info()->data_layout());
_gemm_output.allocator()->init(info_gemm);