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Commit c862486f authored by Maxence Naud's avatar Maxence Naud
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Merge branch 'dev' into allowNoInputProducer

parents 2e1d458e 72cf4688
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3 merge requests!118v0.4.0,!108v0.4.0,!92Export refactor
Pipeline #57598 failed
...@@ -53,12 +53,14 @@ void ConvDepthWiseImpl1D_cpu_forward_kernel(const std::array<DimSize_t, 1>& stri ...@@ -53,12 +53,14 @@ void ConvDepthWiseImpl1D_cpu_forward_kernel(const std::array<DimSize_t, 1>& stri
// output H size // output H size
const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
const std::size_t oxSize = const std::size_t oxSize =
static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - kernelDims[0] + strideDims[0]) / static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - dilated_kernel_x + strideDims[0]) /
static_cast<float>(strideDims[0]))); static_cast<float>(strideDims[0])));
const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1; const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
// TODO: kernel computation // TODO: kernel computation
// output (batch, outCh, Xout, Yout) // output (batch, outCh, Xout, Yout)
// input (batch, ch, Xin, Yin) // input (batch, ch, Xin, Yin)
...@@ -133,13 +135,15 @@ void ConvDepthWiseImpl2D_cpu_forward_kernel(const std::array<DimSize_t, 2>& stri ...@@ -133,13 +135,15 @@ void ConvDepthWiseImpl2D_cpu_forward_kernel(const std::array<DimSize_t, 2>& stri
// output H size // output H size
const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
const std::size_t oxSize = const std::size_t oxSize =
static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - kernelDims[0] + strideDims[0]) / static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - dilated_kernel_x + strideDims[0]) /
static_cast<float>(strideDims[0]))); static_cast<float>(strideDims[0])));
const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1; const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
// output W size // output W size
const DimSize_t dilated_kernel_y = dilationDims[1]*(kernelDims[1] - 1) + 1;
const std::size_t oySize = const std::size_t oySize =
static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[3] - kernelDims[1] + strideDims[1]) / static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[3] - dilated_kernel_y + strideDims[1]) /
static_cast<float>(strideDims[1]))); static_cast<float>(strideDims[1])));
const DimSize_t dilated_kernel_y = dilationDims[1]*(kernelDims[1] - 1) + 1; const DimSize_t dilated_kernel_y = dilationDims[1]*(kernelDims[1] - 1) + 1;
......
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