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-rw-r--r--src/runtime/CL/functions/CLDepthwiseConvolution.cpp6
1 files changed, 5 insertions, 1 deletions
diff --git a/src/runtime/CL/functions/CLDepthwiseConvolution.cpp b/src/runtime/CL/functions/CLDepthwiseConvolution.cpp
index 23a20a3011..baa05b921a 100644
--- a/src/runtime/CL/functions/CLDepthwiseConvolution.cpp
+++ b/src/runtime/CL/functions/CLDepthwiseConvolution.cpp
@@ -41,6 +41,7 @@ void CLDepthwiseConvolution3x3::configure(ICLTensor *input, const ICLTensor *wei
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8, DataType::F32);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, weights);
+ _kernel.set_target(CLScheduler::get().target());
_kernel.configure(input, weights, biases, output, conv_info);
_border_handler.configure(input, _kernel.border_size(), BorderMode::CONSTANT, PixelValue(0));
}
@@ -67,7 +68,8 @@ void CLDepthwiseConvolution::configure(ICLTensor *input, const ICLTensor *weight
const size_t weights_h = weights->info()->dimension(1);
const size_t weights_z = weights->info()->dimension(2);
- bool has_bias = (biases != nullptr);
+ const bool has_bias = (biases != nullptr);
+ const GPUTarget gpu_target = CLScheduler::get().target();
unsigned int conv_w = 0;
unsigned int conv_h = 0;
@@ -84,6 +86,7 @@ void CLDepthwiseConvolution::configure(ICLTensor *input, const ICLTensor *weight
shape_im2col.set(2, weights_z);
const TensorInfo info_im2col(shape_im2col, 1, input->info()->data_type(), input->info()->fixed_point_position());
_input_reshaped.allocator()->init(info_im2col);
+ _im2col_kernel.set_target(gpu_target);
_im2col_kernel.configure(input, &_input_reshaped, Size2D(weights_w, weights_h), conv_info, has_bias);
// Weights reshape configuration
@@ -99,6 +102,7 @@ void CLDepthwiseConvolution::configure(ICLTensor *input, const ICLTensor *weight
shape_v2mm_out.set(2, 1);
const TensorInfo info_v2mm_out(shape_v2mm_out, 1, input->info()->data_type(), input->info()->fixed_point_position());
_v2mm_output.allocator()->init(info_v2mm_out);
+ _v2mm_kernel.set_target(gpu_target);
_v2mm_kernel.configure(&_input_reshaped, &_weights_reshaped, &_v2mm_output);
_vector_to_tensor_kernel.configure(&_v2mm_output, output, conv_w, conv_h);