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ggml : Depthwise 2D convolution (ggml/1152)
* ggml-cpu : kernels for faster depthwise 2D convolution * fix compile: remove static after moving to ops.cpp * add dilation for depthwise_conv_2d * review: rename to ggml_conv_2d_dw_direct, remove redundant struct keywords, pass by ref, whitespace * review: rename depthwise_conv_2d -> conv_2d_dw everywhere
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@ -481,6 +481,7 @@ extern "C" {
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GGML_OP_CONV_TRANSPOSE_1D,
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GGML_OP_IM2COL,
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GGML_OP_IM2COL_BACK,
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GGML_OP_CONV_2D_DW,
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GGML_OP_CONV_TRANSPOSE_2D,
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GGML_OP_POOL_1D,
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GGML_OP_POOL_2D,
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@ -677,6 +678,9 @@ extern "C" {
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GGML_API bool ggml_is_contiguous_1(const struct ggml_tensor * tensor); // contiguous for dims >= 1
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GGML_API bool ggml_is_contiguous_2(const struct ggml_tensor * tensor); // contiguous for dims >= 2
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// true for tensor that is stored in memory as CxWxHxN and has been permuted to WxHxCxN
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GGML_API bool ggml_is_contiguous_channels(const struct ggml_tensor * tensor);
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GGML_API bool ggml_are_same_shape (const struct ggml_tensor * t0, const struct ggml_tensor * t1);
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GGML_API bool ggml_are_same_stride(const struct ggml_tensor * t0, const struct ggml_tensor * t1);
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@ -1660,7 +1664,7 @@ extern "C" {
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struct ggml_tensor * a,
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struct ggml_tensor * b);
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// depthwise
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// depthwise (via im2col and mul_mat)
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GGML_API struct ggml_tensor * ggml_conv_2d_dw(
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struct ggml_context * ctx,
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struct ggml_tensor * a, // convolution kernel
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@ -1672,6 +1676,22 @@ extern "C" {
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int d0, // dilation dimension 0
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int d1); // dilation dimension 1
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// Depthwise 2D convolution
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// may be faster than ggml_conv_2d_dw, but not available in all backends
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// a: KW KH 1 C convolution kernel
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// b: W H C N input data
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// res: W_out H_out C N
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GGML_API struct ggml_tensor * ggml_conv_2d_dw_direct(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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struct ggml_tensor * b,
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int stride0,
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int stride1,
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int pad0,
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int pad1,
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int dilation0,
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int dilation1);
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GGML_API struct ggml_tensor * ggml_conv_transpose_2d_p0(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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