diff options
Diffstat (limited to 'src/cpu/operators/CpuDirectConv3d.cpp')
| -rw-r--r-- | src/cpu/operators/CpuDirectConv3d.cpp | 18 |
1 files changed, 7 insertions, 11 deletions
diff --git a/src/cpu/operators/CpuDirectConv3d.cpp b/src/cpu/operators/CpuDirectConv3d.cpp index 3827910d37..aa74e420a6 100644 --- a/src/cpu/operators/CpuDirectConv3d.cpp +++ b/src/cpu/operators/CpuDirectConv3d.cpp @@ -40,10 +40,10 @@ CpuDirectConv3d::CpuDirectConv3d(std::shared_ptr<IMemoryManager> memory_manager) { } -void CpuDirectConv3d::configure(ITensorInfo *src, ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const Conv3dInfo conv_info) +void CpuDirectConv3d::configure(ITensorInfo *src0, ITensorInfo *src1, const ITensorInfo *src2, ITensorInfo *dst, const Conv3dInfo conv_info) { - ARM_COMPUTE_LOG_PARAMS(src, weights, biases, dst, conv_info); - ARM_COMPUTE_ERROR_ON(src->data_layout() != DataLayout::NDHWC); + ARM_COMPUTE_LOG_PARAMS(src0, src1, src2, dst, conv_info); + ARM_COMPUTE_ERROR_ON(src0->data_layout() != DataLayout::NDHWC); _conv_kernel = std::make_unique<kernels::CpuDirectConv3dKernel>(); @@ -55,7 +55,7 @@ void CpuDirectConv3d::configure(ITensorInfo *src, ITensorInfo *weights, const IT _dim_split = Window::DimY; - _conv_kernel->configure(src, weights, biases, dst, conv_info); + _conv_kernel->configure(src0, src1, src2, dst, conv_info); //Configure Activation Layer _is_activationlayer_enabled = conv_info.act_info.enabled(); @@ -66,16 +66,12 @@ void CpuDirectConv3d::configure(ITensorInfo *src, ITensorInfo *weights, const IT } } -Status CpuDirectConv3d::validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const Conv3dInfo conv_info) +Status CpuDirectConv3d::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const Conv3dInfo conv_info) { - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, weights, dst); - - // output might not be initialized since it can be an intermediate tensor of another layer - DataType data_type = src->data_type(); - TensorInfo accumulator(dst->clone()->set_is_resizable(true).reset_padding().set_data_type(data_type)); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src0, src1, dst); // Validate Convolution kernel - ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuDirectConv3dKernel::validate(src, weights, biases, &accumulator, conv_info)); + ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuDirectConv3dKernel::validate(src0, src1, src2, dst, conv_info)); if(conv_info.act_info.enabled()) { |