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-rw-r--r--src/runtime/CL/functions/CLConvolutionLayer.cpp25
-rw-r--r--src/runtime/CL/functions/CLFFTConvolutionLayer.cpp2
2 files changed, 24 insertions, 3 deletions
diff --git a/src/runtime/CL/functions/CLConvolutionLayer.cpp b/src/runtime/CL/functions/CLConvolutionLayer.cpp
index 0014e71734..165d523100 100644
--- a/src/runtime/CL/functions/CLConvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLConvolutionLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -75,6 +75,13 @@ void CLConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, c
_function = std::move(f);
break;
}
+ case ConvolutionMethod::FFT:
+ {
+ auto f = arm_compute::support::cpp14::make_unique<CLFFTConvolutionLayer>(_memory_manager);
+ f->configure(input, weights, biases, output, conv_info, act_info);
+ _function = std::move(f);
+ break;
+ }
default:
ARM_COMPUTE_ERROR("Not supported.");
break;
@@ -111,6 +118,12 @@ Status CLConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo
ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMConvolutionLayer::validate(input, weights, biases, output, conv_info, weights_info, dilation, act_info, num_groups));
break;
}
+ case ConvolutionMethod::FFT:
+ {
+ // Validate FFT-based convolution layer
+ ARM_COMPUTE_RETURN_ON_ERROR(CLFFTConvolutionLayer::validate(input, weights, nullptr, output, conv_info, act_info));
+ break;
+ }
default:
ARM_COMPUTE_ERROR("Not supported.");
break;
@@ -169,12 +182,20 @@ ConvolutionMethod CLConvolutionLayer::get_convolution_method(const ITensorInfo *
return (*found).second;
}
- if(dilation != Size2D(1U, 1U) || (input->dimension(idx_c) < 16))
+ if(dilation != Size2D(1U, 1U))
{
return ConvolutionMethod::GEMM;
}
else
{
+ if((weights->dimension(idx_h) > 7) && (input->dimension(idx_c) > output->dimension(idx_c)) && ( CLFFTConvolutionLayer::validate(input, weights, nullptr, output, conv_info, act_info)))
+ {
+ return ConvolutionMethod::FFT;
+ }
+ if (input->dimension(idx_c) < 16)
+ {
+ return ConvolutionMethod::GEMM;
+ }
return bool(CLWinogradConvolutionLayer::validate(input, weights, nullptr, output, conv_info, act_info, enable_fast_math)) ? ConvolutionMethod::WINOGRAD : ConvolutionMethod::GEMM;
}
}
diff --git a/src/runtime/CL/functions/CLFFTConvolutionLayer.cpp b/src/runtime/CL/functions/CLFFTConvolutionLayer.cpp
index 6a89b9d304..77097d2b63 100644
--- a/src/runtime/CL/functions/CLFFTConvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLFFTConvolutionLayer.cpp
@@ -279,7 +279,7 @@ Status CLFFTConvolutionLayer::validate(const ITensorInfo *input, const ITensorIn
if((output != nullptr) && (output->total_size() != 0))
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON((input->tensor_shape()[idx_height] != output->tensor_shape()[idx_height]) || (input->tensor_shape()[idx_width] != output->tensor_shape()[idx_width]));
// Validate Activation Layer
if(act_info.enabled())