path: root/llama.cpp/ggml/src/ggml-cuda/upscale.cu

#include "upscale.cuh"

static __global__ void upscale_f32(const float * x, float * dst,
        const int nb00, const int nb01, const int nb02, const int nb03,
        const int ne10, const int ne11, const int ne12, const int ne13,
        const float sf0, const float sf1, const float sf2, const float sf3) {
    int index = threadIdx.x + blockIdx.x * blockDim.x;
    if (index >= ne10 * ne11 * ne12 * ne13) {
        return;
    }

    int i10 = index % ne10;
    int i11 = (index / ne10) % ne11;
    int i12 = (index / (ne10 * ne11)) % ne12;
    int i13 = (index / (ne10 * ne11 * ne12)) % ne13;

    int i00 = i10 / sf0;
    int i01 = i11 / sf1;
    int i02 = i12 / sf2;
    int i03 = i13 / sf3;

    dst[index] = *( (const float *)((const char *)x + i03 * nb03 + i02 * nb02 + i01 * nb01 + i00 * nb00) );
}

static __global__ void upscale_f32_bilinear(const float * x, float * dst,
        const int nb00, const int nb01, const int nb02, const int nb03,
        const int ne00_src, const int ne01_src,
        const int ne10_dst, const int ne11_dst, const int ne12_dst, const int ne13_dst,
        const float sf0, const float sf1, const float sf2, const float sf3,
        const float pixel_offset) {
    const int64_t index              = threadIdx.x + blockIdx.x * blockDim.x;
    const int64_t dst_total_elements = ne10_dst * ne11_dst * ne12_dst * ne13_dst;

    if (index >= dst_total_elements) {
        return;
    }

    const int i10_dst = index % ne10_dst;
    const int i11_dst = (index / ne10_dst) % ne11_dst;
    const int i12_dst = (index / (ne10_dst * ne11_dst)) % ne12_dst;
    const int i13_dst = index / (ne10_dst * ne11_dst * ne12_dst);

    const int i02_src = (int)(i12_dst / sf2);
    const int i03_src = (int)(i13_dst / sf3);

    const float y_src_f = ((float)i11_dst + pixel_offset) / sf1 - pixel_offset;
    int y0_src    = (int)floorf(y_src_f);
    int y1_src    = y0_src + 1;

    y0_src = max(0, min(y0_src, ne01_src - 1));
    y1_src = max(0, min(y1_src, ne01_src - 1));

    float dy = y_src_f - (float)y0_src;
    dy       = max(0.0f, min(dy, 1.0f));

    float x_src_f = ((float)i10_dst + pixel_offset) / sf0 - pixel_offset;
    int x0_src    = (int)floorf(x_src_f);
    int x1_src    = x0_src + 1;

    x0_src = max(0, min(x0_src, ne00_src - 1));
    x1_src = max(0, min(x1_src, ne00_src - 1));

    float dx = x_src_f - (float)x0_src;
    dx = max(0.0f, min(dx, 1.0f));

    const float * p_a = (const float *)((const char *)x + (int64_t)x0_src * nb00 + (int64_t)y0_src * nb01 + (int64_t)i02_src * nb02 + (int64_t)i03_src * nb03);
    const float * p_b = (const float *)((const char *)x + (int64_t)x1_src * nb00 + (int64_t)y0_src * nb01 + (int64_t)i02_src * nb02 + (int64_t)i03_src * nb03);
    const float * p_c = (const float *)((const char *)x + (int64_t)x0_src * nb00 + (int64_t)y1_src * nb01 + (int64_t)i02_src * nb02 + (int64_t)i03_src * nb03);
    const float * p_d = (const float *)((const char *)x + (int64_t)x1_src * nb00 + (int64_t)y1_src * nb01 + (int64_t)i02_src * nb02 + (int64_t)i03_src * nb03);

    const float val_a = *p_a;
    const float val_b = *p_b;
    const float val_c = *p_c;
    const float val_d = *p_d;

    float result = val_a * (1.0f - dx) * (1.0f - dy) +
                   val_b * dx * (1.0f - dy) +
                   val_c * (1.0f - dx) * dy +
                   val_d * dx * dy;

    dst[index] = result;
}

// Similar to F.interpolate(..., mode="bilinear", align_corners=False, antialias=True)
// https://github.com/pytorch/pytorch/blob/8871ff29b743948d1225389d5b7068f37b22750b/aten/src/ATen/native/cpu/UpSampleKernel.cpp
static __global__ void upscale_f32_bilinear_antialias(const float * src0, float * dst,
        const int nb00, const int nb01, const int nb02, const int nb03,
        const int ne00_src, const int ne01_src,
        const int ne10_dst, const int ne11_dst, const int ne12_dst, const int ne13_dst,
        const float sf0, const float sf1, const float sf2, const float sf3,
        const float pixel_offset) {
    const int64_t index              = threadIdx.x + blockIdx.x * blockDim.x;
    const int64_t dst_total_elements = ne10_dst * ne11_dst * ne12_dst * ne13_dst;

    if (index >= dst_total_elements) {
        return;
    }

    const int i10_dst = index % ne10_dst;
    const int i11_dst = (index / ne10_dst) % ne11_dst;
    const int i12_dst = (index / (ne10_dst * ne11_dst)) % ne12_dst;
    const int i13_dst = index / (ne10_dst * ne11_dst * ne12_dst);

    const int i02_src = (int)(i12_dst / sf2);
    const int i03_src = (int)(i13_dst / sf3);

    const float y = ((float)i11_dst + pixel_offset) / sf1;
    const float x = ((float)i10_dst + pixel_offset) / sf0;

    // support and invscale, minimum 1 pixel for bilinear
    const float support1  = max(1.0f / sf1, 1.0f);
    const float invscale1 = 1.0f / support1;
    const float support0  = max(1.0f / sf0, 1.0f);
    const float invscale0 = 1.0f / support0;

    // the range of source pixels that contribute
    const int64_t x_min = max(int64_t(0), int64_t(x - support0 + pixel_offset));
    const int64_t x_max = min(int64_t(ne00_src), int64_t(x + support0 + pixel_offset));
    const int64_t y_min = max(int64_t(0), int64_t(y - support1 + pixel_offset));
    const int64_t y_max = min(int64_t(ne01_src), int64_t(y + support1 + pixel_offset));

    // bilinear filter with antialiasing
    float val = 0.0f;
    float total_weight = 0.0f;

    auto triangle_filter = [](float x) -> float {
        return max(1.0f - fabsf(x), 0.0f);
    };

    for (int64_t sy = y_min; sy < y_max; sy++) {
        const float weight_y = triangle_filter((sy - y + pixel_offset) * invscale1);

        for (int64_t sx = x_min; sx < x_max; sx++) {
            const float weight_x = triangle_filter((sx - x + pixel_offset) * invscale0);
            const float weight = weight_x * weight_y;

            if (weight <= 0.0f) {
                continue;
            }

            const float pixel = *(const float *)((const char *)src0 + sx*nb00 + sy*nb01 + i02_src*nb02 + i03_src*nb03);
            val += pixel * weight;
            total_weight += weight;
        }
    }

    if (total_weight > 0.0f) {
        val /= total_weight;
    }

    dst[index] = val;
}

namespace bicubic_interpolation {
// https://en.wikipedia.org/wiki/Bicubic_interpolation#Bicubic_convolution_algorithm
__device__ const float a = -0.75f; // use alpha = -0.75 (same as PyTorch)

static __device__ float weight1(float x) { return ((a + 2) * x - (a + 3)) * x * x + 1; };
static __device__ float weight2(float x) { return ((a * x - 5 * a) * x + 8 * a) * x - 4 * a; };

static __device__ float bicubic(float p0, float p1, float p2, float p3, float x) {
    const float w0 = weight2(x + 1);
    const float w1 = weight1(x + 0);
    const float w2 = weight1(1 - x);
    const float w3 = weight2(2 - x);
    return p0 * w0 + p1 * w1 + p2 * w2 + p3 * w3;
};
} // namespace bicubic_interpolation

static __global__ void upscale_f32_bicubic(const float * x, float * dst,
        const int nb00, const int nb01, const int nb02, const int nb03,
        const int ne00_src, const int ne01_src,
        const int ne10_dst, const int ne11_dst, const int ne12_dst, const int ne13_dst,
        const float sf0, const float sf1, const float sf2, const float sf3,
        const float pixel_offset) {
    using bicubic_interpolation::bicubic;

    const int64_t index              = threadIdx.x + blockIdx.x * blockDim.x;
    const int64_t dst_total_elements = ne10_dst * ne11_dst * ne12_dst * ne13_dst;

    if (index >= dst_total_elements) {
        return;
    }

    const int i10_dst = index % ne10_dst;
    const int i11_dst = (index / ne10_dst) % ne11_dst;
    const int i12_dst = (index / (ne10_dst * ne11_dst)) % ne12_dst;
    const int i13_dst = index / (ne10_dst * ne11_dst * ne12_dst);

    const int i02_src = (int)(i12_dst / sf2);
    const int i03_src = (int)(i13_dst / sf3);

    const float y_src_f = ((float)i11_dst + pixel_offset) / sf1 - pixel_offset;
    const int y0_src    = (int)floorf(y_src_f);
    const float dy      = y_src_f - (float)y0_src;

    const float x_src_f = ((float)i10_dst + pixel_offset) / sf0 - pixel_offset;
    const int x0_src    = (int)floorf(x_src_f);
    const float dx      = x_src_f - (float)x0_src;

    const char * x_base = (const char *)x + (int64_t)i02_src * nb02 + (int64_t)i03_src * nb03;

    auto load = [=](int x_off, int y_off) -> float {
        int i00_src = max(0, min(x0_src + x_off, ne00_src - 1));
        int i01_src = max(0, min(y0_src + y_off, ne01_src - 1));
        return *(const float *)(x_base + (int64_t)i00_src * nb00 + (int64_t)i01_src * nb01);
    };

    const float result = bicubic(
        bicubic(load(-1,-1), load(0,-1), load(1,-1), load(2,-1), dx),
        bicubic(load(-1, 0), load(0, 0), load(1, 0), load(2, 0), dx),
        bicubic(load(-1, 1), load(0, 1), load(1, 1), load(2, 1), dx),
        bicubic(load(-1, 2), load(0, 2), load(1, 2), load(2, 2), dx), dy);

    dst[index] = result;
}

static void upscale_f32_cuda(const float * x, float * dst,
        const int nb00, const int nb01, const int nb02, const int nb03,
        const int ne10, const int ne11, const int ne12, const int ne13,
        const float sf0, const float sf1, const float sf2, const float sf3,
        cudaStream_t stream) {
    const int64_t dst_size   = ne10 * ne11 * ne12 * ne13;
    const int64_t num_blocks = (dst_size + CUDA_UPSCALE_BLOCK_SIZE - 1) / CUDA_UPSCALE_BLOCK_SIZE;

    upscale_f32<<<num_blocks, CUDA_UPSCALE_BLOCK_SIZE,0,stream>>>(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3);
}

static void upscale_f32_bilinear_cuda(const float * x, float * dst,
        const int nb00, const int nb01, const int nb02, const int nb03,
        const int ne00_src, const int ne01_src,
        const int ne10_dst, const int ne11_dst, const int ne12_dst, const int ne13_dst,
        const float sf0, const float sf1, const float sf2, const float sf3,
        const float pixel_offset, bool antialias, cudaStream_t stream) {
    const int64_t dst_size   = ne10_dst * ne11_dst * ne12_dst * ne13_dst;
    const int64_t num_blocks = (dst_size + CUDA_UPSCALE_BLOCK_SIZE - 1) / CUDA_UPSCALE_BLOCK_SIZE;

    if (antialias) {
        upscale_f32_bilinear_antialias<<<num_blocks, CUDA_UPSCALE_BLOCK_SIZE,0,stream>>>(x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
    } else {
        upscale_f32_bilinear<<<num_blocks, CUDA_UPSCALE_BLOCK_SIZE,0,stream>>>(x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
    }
}

static void upscale_f32_bicubic_cuda(const float * x, float * dst,
        const int nb00, const int nb01, const int nb02, const int nb03,
        const int ne00_src, const int ne01_src,
        const int ne10_dst, const int ne11_dst, const int ne12_dst, const int ne13_dst,
        const float sf0, const float sf1, const float sf2, const float sf3,
        const float pixel_offset, cudaStream_t stream) {
    const int64_t dst_size   = ne10_dst * ne11_dst * ne12_dst * ne13_dst;
    const int64_t num_blocks = (dst_size + CUDA_UPSCALE_BLOCK_SIZE - 1) / CUDA_UPSCALE_BLOCK_SIZE;

    upscale_f32_bicubic<<<num_blocks, CUDA_UPSCALE_BLOCK_SIZE,0,stream>>>(x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
}

void ggml_cuda_op_upscale(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
    const ggml_tensor * src0 = dst->src[0];
    const float * src0_d = (const float *)src0->data;
    float * dst_d = (float *)dst->data;
    cudaStream_t stream = ctx.stream();

    GGML_ASSERT(src0->type == GGML_TYPE_F32);
    GGML_ASSERT( dst->type == GGML_TYPE_F32);

    const int mode_flags = dst->op_params[0];
    const ggml_scale_mode mode = (ggml_scale_mode)(mode_flags & 0xFF);

    float sf0 = (float)dst->ne[0]/src0->ne[0];
    float sf1 = (float)dst->ne[1]/src0->ne[1];
    float sf2 = (float)dst->ne[2]/src0->ne[2];
    const float sf3 = (float)dst->ne[3]/src0->ne[3];

    float pixel_offset = 0.5f;
    if (mode_flags & GGML_SCALE_FLAG_ALIGN_CORNERS) {
        sf0          = dst->ne[0] > 1 && src0->ne[0] > 1 ? (float)(dst->ne[0] - 1) / (src0->ne[0] - 1) : sf0;
        sf1          = dst->ne[1] > 1 && src0->ne[1] > 1 ? (float)(dst->ne[1] - 1) / (src0->ne[1] - 1) : sf1;
        pixel_offset = 0.0f;
    }

    if (mode == GGML_SCALE_MODE_NEAREST) {
        upscale_f32_cuda(src0_d, dst_d, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], sf0, sf1, sf2, sf3, stream);
    } else if (mode == GGML_SCALE_MODE_BILINEAR) {
        const bool antialias = (mode_flags & GGML_SCALE_FLAG_ANTIALIAS);
        upscale_f32_bilinear_cuda(src0_d, dst_d, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3],
                                 src0->ne[0], src0->ne[1], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
                                 sf0, sf1, sf2, sf3, pixel_offset, antialias, stream);
    } else if (mode == GGML_SCALE_MODE_BICUBIC) {
        upscale_f32_bicubic_cuda(src0_d, dst_d, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3],
                                 src0->ne[0], src0->ne[1], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
                                 sf0, sf1, sf2, sf3, pixel_offset, stream);
    }
}