diff options
| -rw-r--r-- | src/runtime/cpu/operators/CpuConv2d.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/runtime/cpu/operators/CpuConv2d.cpp b/src/runtime/cpu/operators/CpuConv2d.cpp index ec7833324a..809663a918 100644 --- a/src/runtime/cpu/operators/CpuConv2d.cpp +++ b/src/runtime/cpu/operators/CpuConv2d.cpp @@ -63,7 +63,7 @@ void CpuConv2d::configure(ITensorInfo *input, ITensorInfo *weights, const ITenso case ConvolutionMethod::GEMM: { auto f = std::make_unique<CpuGemmConvolution>(); - f->configure(input, weights, biases, output, conv_info, weights_info, dilation, act_info); + f->configure(input, weights, biases, output, conv_info, weights_info, dilation, act_info, enable_fast_math); _function = std::move(f); break; } @@ -101,7 +101,7 @@ Status CpuConv2d::validate(const ITensorInfo *input, const ITensorInfo *weights, ARM_COMPUTE_RETURN_ON_ERROR(CpuWinogradConv2d::validate(input, weights, biases, output, conv_info, act_info, enable_fast_math)); break; case ConvolutionMethod::GEMM: - ARM_COMPUTE_RETURN_ON_ERROR(CpuGemmConvolution::validate(input, weights, biases, output, conv_info, weights_info, dilation, act_info)); + ARM_COMPUTE_RETURN_ON_ERROR(CpuGemmConvolution::validate(input, weights, biases, output, conv_info, weights_info, dilation, act_info, enable_fast_math)); break; case ConvolutionMethod::GEMM_CONV2D: ARM_COMPUTE_RETURN_ON_ERROR(CpuGemmDirectConv2d::validate(input, weights, biases, output, info)); |