// @generated

static const char* MPSCNN_KERNELS = R"V0G0N(


#include <metal_stdlib>

using namespace metal;

constant ushort ushort_arg_0[[function_constant(0)]];
constant ushort ushort_arg_1[[function_constant(1)]];
constant ushort ushort_arg_2[[function_constant(2)]];
constant ushort ushort_arg_3[[function_constant(3)]];
constant ushort ushort_arg_4[[function_constant(4)]];
constant ushort ushort_arg_5[[function_constant(5)]];
constant ushort ushort_arg_6[[function_constant(6)]];
constant ushort ushort_arg_7[[function_constant(7)]];
constant ushort ushort_arg_8[[function_constant(8)]];
constant ushort ushort_arg_9[[function_constant(9)]];

inline constexpr ushort divRoundUp(ushort x, ushort y) { return (x + (y - 1)) / y; }

kernel void affine(constant half4* scale[[buffer(0)]],
                   constant half4* shift[[buffer(1)]],
                   texture2d_array<half, access::read> in[[texture(0)]],
                   texture2d_array<half, access::write> out[[texture(1)]],
                   ushort3 gid[[thread_position_in_grid]]) {
    const ushort C = ushort_arg_0;
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    const half4 scale_c = scale[gid.z % divRoundUp(C, 4)];
    const half4 shift_c = shift[gid.z % divRoundUp(C, 4)];
    ushort2 gid_(gid.x, gid.y);
    const half4 x = in.read(gid_, gid.z);
    const half4 y = scale_c * x + shift_c;
    out.write(y, gid_, gid.z);
}

kernel void affine_nonarray(constant half4* scale[[buffer(0)]],
                            constant half4* shift[[buffer(1)]],
                            texture2d<half, access::read> in[[texture(0)]],
                            texture2d<half, access::write> out[[texture(1)]],
                            ushort2 gid[[thread_position_in_grid]]) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    const half4 scale_c = scale[0];
    const half4 shift_c = shift[0];
    half4 x = in.read(gid);
    const half4 y = scale_c * x + shift_c;
    out.write(y, gid);
}

kernel void prelu_nonshared(constant half4* weights[[buffer(0)]],
                            texture2d_array<half, access::read> in[[texture(0)]],
                            texture2d_array<half, access::write> out[[texture(1)]],
                            ushort3 gid[[thread_position_in_grid]]) {
    const ushort C = ushort_arg_0;
    const ushort S = ushort_arg_1;
    const bool channel_shared = S == 1;
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    half4 w = channel_shared ? half4(weights[0][0], weights[0][0], weights[0][0], weights[0][0])
    : weights[gid.z % divRoundUp(C, 4)];
    ushort2 gid_(gid.x, gid.y);
    half4 x = in.read(gid_, gid.z);
    half4 y = select(x * w, x, x > 0.0h);
    out.write(y, gid_, gid.z);
}

kernel void prelu_nonshared_nonarray(constant half4* weights[[buffer(0)]],
                                     texture2d<half, access::read> in[[texture(0)]],
                                     texture2d<half, access::write> out[[texture(1)]],
                                     ushort2 gid[[thread_position_in_grid]]) {
    // const ushort C = ushort_arg_0;
    const ushort S = ushort_arg_1;
    const bool channel_shared = S == 1;
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    half4 w = channel_shared ? half4(weights[0][0], weights[0][0], weights[0][0], weights[0][0])
    : weights[0];
    half4 x = in.read(gid);
    half4 y = select(x * w, x, x > 0.0h);
    out.write(y, gid);
}

// One block per texture.
// 256 threads per block.
using AccT = float4;

constant const bool instance_norm_has_prelu = ushort_arg_1 > 0;

kernel void instance_norm(
                          constant half4* weights[[buffer(0)]],
                          constant half4* bias[[buffer(1)]],
                          constant half4* preluWeights[[ buffer(2), function_constant(instance_norm_has_prelu) ]],
                          texture2d_array<half, access::read> in[[texture(0)]],
                          texture2d_array<half, access::write> out[[texture(1)]],
                          ushort3 gid[[thread_position_in_grid]],
                          ushort tid[[thread_index_in_threadgroup]],
                          ushort3 tcount[[threads_per_threadgroup]]) {
    if (gid.z >= out.get_array_size()) {
        return;
    }
    const ushort C = ushort_arg_0;
    const ushort S = ushort_arg_1;
    const bool channel_shared = S == 1;
    const ushort c = gid.z % divRoundUp(C, 4);
    constexpr ushort THREADGROUP_SIZE = 256;
    
    threadgroup AccT per_thread_state[THREADGROUP_SIZE];
    // Each block handles a single texture.
    per_thread_state[tid] = 0;
    for (ushort y = gid.y; y < in.get_height(); y += tcount.y) {
        for (ushort x = gid.x; x < in.get_width(); x += tcount.x) {
            per_thread_state[tid] += static_cast<AccT>(in.read(ushort2(x, y), gid.z));
        }
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    // 256 -> 32 reduction
    if (tid < 32) {
        per_thread_state[tid] += per_thread_state[tid + 32] + per_thread_state[tid + 64] +
        per_thread_state[tid + 96] + per_thread_state[tid + 128] +
        per_thread_state[tid + 160] + per_thread_state[tid + 192] +
        per_thread_state[tid + 224];
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    if (tid == 0) {
        AccT sum = 0.0;
        for (ushort i = 0; i < 32; ++i) {
            sum += per_thread_state[i];
        }
        sum /= (in.get_width() * in.get_height());
        per_thread_state[0] = sum;
    }
    threadgroup_barrier(mem_flags::mem_threadgroup);
    // Broadcast to all threads.
    const AccT mean = per_thread_state[0];
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    per_thread_state[tid] = 0;
    for (ushort y = gid.y; y < in.get_height(); y += tcount.y) {
        for (ushort x = gid.x; x < in.get_width(); x += tcount.x) {
            AccT delta = static_cast<AccT>(in.read(ushort2(x, y), gid.z)) - mean;
            per_thread_state[tid] += delta * delta;
        }
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    // 256 -> 32 reduction
    if (tid < 32) {
        per_thread_state[tid] += per_thread_state[tid + 32] + per_thread_state[tid + 64] +
        per_thread_state[tid + 96] + per_thread_state[tid + 128] +
        per_thread_state[tid + 160] + per_thread_state[tid + 192] +
        per_thread_state[tid + 224];
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    if (tid == 0) {
        AccT sum = 0.0;
        for (ushort i = 0; i < 32; ++i) {
            sum += per_thread_state[i];
        }
        sum /= (in.get_width() * in.get_height());
        per_thread_state[0] = 1.0 / sqrt(max(sum, AccT(1e-5, 1e-5, 1e-5, 1e-5)) + 1.0e-5);
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    // Broadcast to all threads.
    const AccT inv_var = per_thread_state[0];
    
    const AccT c_weights = static_cast<AccT>(weights[c]);
    const AccT c_bias = static_cast<AccT>(bias[c]);
    
    const AccT scale = inv_var * c_weights;
    const AccT shift = c_bias - mean * scale;
    
    half4 w;
    if (instance_norm_has_prelu) {
        w = channel_shared ? half4(preluWeights[0][0]) : preluWeights[c];
    }
    for (ushort y = gid.y; y < in.get_height(); y += tcount.y) {
        for (ushort x = gid.x; x < in.get_width(); x += tcount.x) {
            half4 scaled =
            static_cast<half4>(static_cast<AccT>(in.read(ushort2(x, y), gid.z)) * scale + shift);
            if (instance_norm_has_prelu) {
                scaled = select(scaled * w, scaled, scaled > 0.0h);
            }
            out.write(scaled, ushort2(x, y), gid.z);
        }
    }
}

// One block per texture.
// 256 threads per block.
kernel void instance_norm_nonarray(
                                   constant half4* weights[[buffer(0)]],
                                   constant half4* bias[[buffer(1)]],
                                   constant half4* preluWeights[[ buffer(2), function_constant(instance_norm_has_prelu) ]],
                                   texture2d<half, access::read> in[[texture(0)]],
                                   texture2d<half, access::write> out[[texture(1)]],
                                   ushort3 gid[[thread_position_in_grid]],
                                   ushort tid[[thread_index_in_threadgroup]],
                                   ushort3 tcount[[threads_per_threadgroup]]) {
    // const ushort C = ushort_arg_0;
    const ushort S = ushort_arg_1;
    const bool channel_shared = S == 1;
    constexpr ushort THREADGROUP_SIZE = 256;
    
    threadgroup AccT per_thread_state[THREADGROUP_SIZE];
    // Each block handles a single texture.
    per_thread_state[tid] = 0;
    for (ushort y = gid.y; y < in.get_height(); y += tcount.y) {
        for (ushort x = gid.x; x < in.get_width(); x += tcount.x) {
            per_thread_state[tid] += static_cast<AccT>(in.read(ushort2(x, y)));
        }
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    // 256 -> 32 reduction
    if (tid < 32) {
        per_thread_state[tid] += per_thread_state[tid + 32] + per_thread_state[tid + 64] +
        per_thread_state[tid + 96] + per_thread_state[tid + 128] +
        per_thread_state[tid + 160] + per_thread_state[tid + 192] +
        per_thread_state[tid + 224];
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    if (tid == 0) {
        AccT sum = 0.0;
        for (ushort i = 0; i < 32; ++i) {
            sum += per_thread_state[i];
        }
        sum /= (in.get_width() * in.get_height());
        per_thread_state[0] = sum;
    }
    threadgroup_barrier(mem_flags::mem_threadgroup);
    // Broadcast to all threads.
    const AccT mean = per_thread_state[0];
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    per_thread_state[tid] = 0;
    for (ushort y = gid.y; y < in.get_height(); y += tcount.y) {
        for (ushort x = gid.x; x < in.get_width(); x += tcount.x) {
            AccT delta = static_cast<AccT>(in.read(ushort2(x, y))) - mean;
            per_thread_state[tid] += delta * delta;
        }
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    // 256 -> 32 reduction
    if (tid < 32) {
        per_thread_state[tid] += per_thread_state[tid + 32] + per_thread_state[tid + 64] +
        per_thread_state[tid + 96] + per_thread_state[tid + 128] +
        per_thread_state[tid + 160] + per_thread_state[tid + 192] +
        per_thread_state[tid + 224];
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    
    if (tid == 0) {
        AccT sum = 0.0;
        for (ushort i = 0; i < 32; ++i) {
            sum += per_thread_state[i];
        }
        sum /= (in.get_width() * in.get_height());
        per_thread_state[0] = 1.0 / sqrt(max(sum, AccT(1e-5, 1e-5, 1e-5, 1e-5)) + 1.0e-5);
    }
    
    threadgroup_barrier(mem_flags::mem_threadgroup);
    // Broadcast to all threads.
    const AccT inv_var = per_thread_state[0];
    
    const AccT c_weights = static_cast<AccT>(weights[0]);
    const AccT c_bias = static_cast<AccT>(bias[0]);
    
    const AccT scale = inv_var * c_weights;
    const AccT shift = c_bias - mean * scale;
    
    half4 w;
    if (instance_norm_has_prelu) {
        w = channel_shared ? half4(preluWeights[0][0]) : preluWeights[0];
    }
    for (ushort y = gid.y; y < in.get_height(); y += tcount.y) {
        for (ushort x = gid.x; x < in.get_width(); x += tcount.x) {
            half4 scaled = static_cast<half4>(static_cast<AccT>(in.read(ushort2(x, y))) * scale + shift);
            if (instance_norm_has_prelu) {
                scaled = select(scaled * w, scaled, scaled > 0.0h);
            }
            out.write(scaled, ushort2(x, y));
        }
    }
}

kernel void copy_nchw_to_metal(constant float* in[[buffer(0)]],
                               texture2d_array<half, access::write> out[[texture(0)]],
                               ushort3 gid[[thread_position_in_grid]]) {
    const ushort C = ushort_arg_0;
    const ushort H = ushort_arg_1;
    const ushort W = ushort_arg_2;
    if (gid.x >= W || gid.y >= H) {
        return;
    }
    
    const ushort n = gid.z / divRoundUp(C, 4);
    const ushort c = gid.z - n * divRoundUp(C, 4);
    
    // TODO: are the `else` branches needed?
    // TODO: trick the optimizer for case where C == 4?
#define CHW_TO_CHWP4(idx, n, c_, h, w)                                     \
if ((c_) < C) {                                                          \
trns[idx] = in[n * H * W * C + int(c_) * H * W + int(h) * W + int(w)]; \
} else {                                                                 \
trns[idx] = 0.0h;                                                      \
}
    
    half4 trns;
    CHW_TO_CHWP4(0, n, c * 4 + 0, gid.y, gid.x);
    CHW_TO_CHWP4(1, n, c * 4 + 1, gid.y, gid.x);
    CHW_TO_CHWP4(2, n, c * 4 + 2, gid.y, gid.x);
    CHW_TO_CHWP4(3, n, c * 4 + 3, gid.y, gid.x);
#undef CHW_TO_CHWP4
    
    out.write(trns, gid.xy, gid.z);
}

kernel void copy_nchw_to_metal_nonarray(constant float* in[[buffer(0)]],
                                        texture2d<half, access::write> out[[texture(0)]],
                                        ushort2 gid[[thread_position_in_grid]]) {
    const ushort C = ushort_arg_0;
    const ushort H = ushort_arg_1;
    const ushort W = ushort_arg_2;
    
    if (gid.x >= W || gid.y >= H) {
        return;
    }
    
    half4 trns;
    // TODO: are the `else` branches needed?
    // TODO: trick the optimizer for case where C % 4 == 0?
    
#define CHW_TO_CHWP4(idx, c, h, w)                        \
if ((c) < C) {                                          \
trns[idx] = in[int(c) * H * W + int(h) * W + int(w)]; \
} else {                                                \
trns[idx] = 0.0h;                                     \
}
    
    CHW_TO_CHWP4(0, 0, gid.y, gid.x);
    CHW_TO_CHWP4(1, 1, gid.y, gid.x);
    CHW_TO_CHWP4(2, 2, gid.y, gid.x);
    CHW_TO_CHWP4(3, 3, gid.y, gid.x);
#undef CHW_TO_CHWP4
    
    out.write(trns, gid.xy);
}

kernel void copy_metal_to_nchw(texture2d_array<half, access::read> in[[texture(0)]],
                               device float* out[[buffer(0)]],
                               ushort3 gid[[thread_position_in_grid]]) {
    const ushort C = ushort_arg_0;
    const ushort H = ushort_arg_1;
    const ushort W = ushort_arg_2;
    
    if (gid.x >= W || gid.y >= H) {
        return;
    }
    const ushort n = gid.z / divRoundUp(C, 4);
    const ushort c = gid.z - n * divRoundUp(C, 4);
    
    half4 cs = in.read(gid.xy, gid.z);
    
#define CHWP4_TO_CHW(idx, n, c_, h, w)                                    \
if ((c_) < C) {                                                         \
out[n * H * W * C + int(c_) * H * W + int(h) * W + int(w)] = cs[idx]; \
}
    
    CHWP4_TO_CHW(0, n, c * 4 + 0, gid.y, gid.x);
    CHWP4_TO_CHW(1, n, c * 4 + 1, gid.y, gid.x);
    CHWP4_TO_CHW(2, n, c * 4 + 2, gid.y, gid.x);
    CHWP4_TO_CHW(3, n, c * 4 + 3, gid.y, gid.x);
#undef CHWP4_TO_CHW
}

kernel void copy_metal_to_nchw_nonarray(texture2d<half, access::read> in[[texture(0)]],
                                        device float* out[[buffer(0)]],
                                        ushort2 gid[[thread_position_in_grid]]) {
    const ushort C = ushort_arg_0;
    const ushort H = ushort_arg_1;
    const ushort W = ushort_arg_2;
    
    if (gid.x >= W || gid.y >= H) {
        return;
    }
    
    half4 cs = in.read(gid.xy);
    
#define CHWP4_TO_CHW(idx, c, h, w)                       \
if ((c) < C) {                                         \
out[int(c) * H * W + int(h) * W + int(w)] = cs[idx]; \
}
    
    CHWP4_TO_CHW(0, 0, gid.y, gid.x);
    CHWP4_TO_CHW(1, 1, gid.y, gid.x);
    CHWP4_TO_CHW(2, 2, gid.y, gid.x);
    CHWP4_TO_CHW(3, 3, gid.y, gid.x);
#undef CHWP4_TO_CHW
}

kernel void convtranspose_upscale(texture2d_array<half, access::read> in[[texture(0)]],
                                  texture2d_array<half, access::write> out[[texture(1)]],
                                  ushort3 gid[[thread_position_in_grid]]) {
    // All resolved at compile time.
    // Assume symmetric kernel/stride/pad for now.
    const ushort kernel_ = ushort_arg_0;
    const ushort stride = ushort_arg_1;
    const ushort pad = ushort_arg_2;
    
    half4 zero(0.0h, 0.0h, 0.0h, 0.0h);
    
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    const ushort2 gid_ = gid.xy;
    if (gid.x < kernel_ - 1 - pad || gid.y < kernel_ - 1 - pad) {
        out.write(zero, gid_, gid.z);
        return;
    }
    
    if (((gid.x - (kernel_ - 1 - pad)) % stride == 0) &&
        ((gid.y - (kernel_ - 1 - pad)) % stride == 0)) {
        ushort2 in_pos((gid.x - (kernel_ - 1 - pad)) / stride, (gid.y - (kernel_ - 1 - pad)) / stride);
        
        if (in_pos.x < in.get_width() && in_pos.y < in.get_height()) {
            half4 input = in.read(in_pos, gid.z);
            out.write(input, gid_, gid.z);
        } else {
            out.write(zero, gid_, gid.z);
        }
    } else {
        out.write(zero, gid_, gid.z);
    }
}

constant bool has_in_arr = (ushort_arg_7 > 1 || ushort_arg_0 * ushort_arg_1 * ushort_arg_6 > 4);
constant bool has_out_arr = (ushort_arg_7 > 1 || ushort_arg_6 > 4);
constant bool has_in_tex = (!has_in_arr);
constant bool has_out_tex = (!has_out_arr);

kernel void col2im(
                   texture2d_array<half, access::read> ina[[ texture(0), function_constant(has_in_arr) ]],
                   texture2d<half, access::read> in[[ texture(0), function_constant(has_in_tex) ]],
                   texture2d_array<half, access::write> outa[[ texture(1), function_constant(has_out_arr) ]],
                   texture2d<half, access::write> out[[ texture(1), function_constant(has_out_tex) ]],
                   constant half4* bias[[buffer(0)]],
                   ushort3 gid[[thread_position_in_grid]]) {
    if (has_out_tex) {
      if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
      }
    } else {
      if (gid.x >= outa.get_width() || gid.y >= outa.get_height()) {
        return;
      }
    }
    const ushort kernel_h = ushort_arg_0;
    const ushort kernel_w = ushort_arg_1;
    const ushort stride_h = ushort_arg_2;
    const ushort stride_w = ushort_arg_3;
    const ushort pad_l = ushort_arg_4;
    const ushort pad_t = ushort_arg_5;
    const ushort C = ushort_arg_6;
    //  const int N = ushort_arg_7;
    const ushort height_col = ushort_arg_8; 
    const ushort width_col = ushort_arg_9;
    
    const ushort n = gid.z / divRoundUp(C, 4);
    const ushort c = gid.z - n * divRoundUp(C, 4);
    
    const ushort w = gid.x + pad_l;
    const ushort h = gid.y + pad_t;
    
    // compute the start and end of the output
    const ushort w_col_start = (w < kernel_w) ? 0 : (w - kernel_w) / stride_w + 1;
    const ushort w_col_end = min(ushort(w / stride_w + 1), ushort(width_col));
    const ushort h_col_start = (h < kernel_h) ? 0 : (h - kernel_h) / stride_h + 1;
    const ushort h_col_end = min(ushort(h / stride_h + 1), ushort(height_col));
    
    float4 val = static_cast<float4>(bias[c]);
    for (ushort h_col = h_col_start; h_col < h_col_end; ++h_col) {
        for (ushort w_col = w_col_start; w_col < w_col_end; ++w_col) {
            const ushort w_k = w - w_col * stride_w;
            const ushort h_k = h - h_col * stride_h;
            
            // layout is essentially: [N][K][K][C][H][W]
            // - where the divRoundUp(K * K * C, 4) channels are interleaved as usual.
            // Thus, it's actually [N][divRoundUp(K * K * C, 4)][H][W].
            
            // If C % 4 is not zero, then we have to play some games via partial indexing.
            // TODO: is it worth optimizing this loop via padding in C?
            if (C % 4 == 0) {
                ushort c_col = n * kernel_h * kernel_w * divRoundUp(C, 4) +
                h_k * kernel_w * divRoundUp(C, 4) + w_k * divRoundUp(C, 4) + c;
                if (has_in_arr) {
                    val += static_cast<float4>(ina.read(ushort2(w_col, h_col), c_col));
                }
                if (has_in_tex) {
                    val += static_cast<float4>(in.read(ushort2(w_col, h_col), c_col));
                }
            } else {
                half4 components(0, 0, 0, 0);
                for (auto i = 0; i < 4; ++i) {
                    ushort c_col_i = n * divRoundUp(kernel_h * kernel_w * C, 4) * 4 + h_k * kernel_w * C +
                    w_k * C + c * 4 + i;
                    ushort c_col_i_z = c_col_i / 4;
                    ushort c_col_i_off = c_col_i - c_col_i_z * 4;
                    if (has_in_arr) {
                        components[i] = ina.read(ushort2(w_col, h_col), c_col_i_z)[c_col_i_off];
                    }
                    if (has_in_tex) {
                        components[i] = in.read(ushort2(w_col, h_col))[c_col_i_off];
                    }
                }
                val += static_cast<float4>(components);
            }
        }
    }
    if (has_out_arr) {
        outa.write(static_cast<half4>(val), gid.xy, gid.z);
    }
    if (has_out_tex) {
        out.write(static_cast<half4>(val), gid.xy);
    }
}

kernel void preprocess_stylizer(device uchar4* in[[buffer(0)]],
                                constant half* mean[[buffer(1)]],
                                constant half4* noise[[buffer(2)]],
                                texture2d<half, access::write> out[[texture(0)]],
                                ushort2 gid[[thread_position_in_grid]]) {
    
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    const ushort noise_size = ushort_arg_0;
    
    half4 mean_half(mean[0], mean[1], mean[2], 0.0h);
    uint input_noise_idx = ((uint)out.get_width() * (uint)gid.y + (uint)gid.x) % (noise_size / 4);
    const half4 input_noise = noise[input_noise_idx];
    const uint W = out.get_width();
#define in_at(h, w) in[(uint)(h)*W + (uint)(w)]
    uchar4 input = in_at(gid.y, gid.x);
#undef in_at
    half4 input_half = static_cast<half4>(input);
    out.write(input_half - mean_half + input_noise, gid);
}

kernel void deprocess_stylizer(texture2d<half, access::read> in[[texture(0)]],
                               device uchar4* out[[buffer(0)]],
                               constant half* mean[[buffer(1)]],
                               ushort2 gid[[thread_position_in_grid]]) {
    if (gid.x >= in.get_width() || gid.y >= in.get_height()) {
        return;
    }
    
    half4 value = in.read(gid);
    
    half4 mean_h(mean[0], mean[1], mean[2], 0.0h);
    half4 min_h(0.0h, 0.0h, 0.0h, 255.0h);
    half4 max_h(255.0h, 255.0h, 255.0h, 255.0h);
    half4 clamped = clamp(value + mean_h, min_h, max_h);
    const uint W = in.get_width();
#define out_at(h, w, v) out[(uint)(h)*W + (uint)(w)] = (v)
    out_at(gid.y, gid.x, static_cast<uchar4>(clamped));
#undef out_at
}

kernel void reflection_padding_nonarray(texture2d<half, access::read> in[[texture(0)]],
                                        texture2d<half, access::write> out[[texture(1)]],
                                        ushort2 gid[[thread_position_in_grid]]) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    ushort H = in.get_height();
    ushort PH = out.get_height();
    
    // Note: we assume symmetric padding on H/W here, which is verified
    // in the calling code.
    ushort pad_h = (PH - H) / 2;
    ushort W = in.get_width();
    ushort PW = out.get_width();
    ushort pad_w = (PW - W) / 2;
    
    short h = short(gid.y) - short(pad_h);
    h = max(h, short(-h));
    h = min(h, short(2 * H - h - 2));
    
    short w = short(gid.x) - short(pad_w);
    w = max(w, short(-w));
    w = min(w, short(2 * W - w - 2));
    
    ushort2 inid(w, h);
    out.write(in.read(inid), gid);
}

kernel void reflection_padding(texture2d_array<half, access::read> in[[texture(0)]],
                               texture2d_array<half, access::write> out[[texture(1)]],
                               ushort3 gid[[thread_position_in_grid]]) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    ushort H = in.get_height();
    ushort PH = out.get_height();
    
    // Note: we assume symmetric padding on H/W here, which is verified
    // in the calling code.
    ushort pad_h = (PH - H) / 2;
    ushort W = in.get_width();
    ushort PW = out.get_width();
    ushort pad_w = (PW - W) / 2;
    
    short h = short(gid.y) - short(pad_h);
    h = max(h, short(-h));
    h = min(h, short(2 * H - h - 2));
    
    short w = short(gid.x) - short(pad_w);
    w = max(w, short(-w));
    w = min(w, short(2 * W - w - 2));
    
    ushort2 inid(w, h);
    
    out.write(in.read(inid, gid.z), gid.xy, gid.z);
}

kernel void bilinear_upsample(texture2d<half, access::sample> in[[texture(0)]],
                              texture2d<half, access::write> out[[texture(1)]],
                              ushort2 gid[[thread_position_in_grid]]) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    ushort2 src = gid / 2;
    constexpr sampler sampler(address::clamp_to_edge, filter::linear, coord::pixel);
    half4 value = in.sample(sampler, static_cast<float2>(src));
    out.write(value, gid);
}

constant bool in0_is_tex = ushort_arg_0 <= 1 && ushort_arg_1 <= 4;
constant bool in0_is_arr = !in0_is_tex;

kernel void elementwise_mul(texture2d<half, access::read> in0[[texture(0), function_constant(in0_is_tex)]],
                            texture2d_array<half, access::read> ina0[[texture(0), function_constant(in0_is_arr)]],
                            texture2d<half, access::write> out[[texture(2), function_constant(in0_is_tex)]],
                            texture2d_array<half, access::write> outa[[texture(2), function_constant(in0_is_arr)]],
                            constant float* in1[[buffer(1)]],
                            ushort3 gid[[thread_position_in_grid]]) {
  ushort last_dim = ushort_arg_2;
  ushort idx;
  if (in0_is_tex) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
      return;
    }
    idx = gid.y * out.get_width() + gid.x;
  } else {
    if (gid.x >= outa.get_width() || gid.y >= outa.get_height()) {
      return;
    }
    idx = gid.y * outa.get_width() + gid.x;
  }
  ushort2 gid_ = gid.xy;
  if (in0_is_tex) {
    out.write(in0.read(gid_) * in1[idx % last_dim], gid_);
  } else {
    outa.write(ina0.read(gid_, gid.z) * in1[idx % last_dim], gid_, gid.z);
  }
}

kernel void elementwise_sub(texture2d<half, access::read> in0[[texture(0), function_constant(in0_is_tex)]],
                            texture2d_array<half, access::read> ina0[[texture(0), function_constant(in0_is_arr)]],
                            texture2d<half, access::write> out[[texture(2), function_constant(in0_is_tex)]],
                            texture2d_array<half, access::write> outa[[texture(2), function_constant(in0_is_arr)]],
                            constant float* in1[[buffer(1)]],
                            ushort3 gid[[thread_position_in_grid]]) {
  ushort last_dim = ushort_arg_2;
  ushort idx;
  if (in0_is_tex) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
      return;
    }
    idx = gid.y * out.get_width() + gid.x;
  } else {
    if (gid.x >= outa.get_width() || gid.y >= outa.get_height()) {
      return;
    }
    idx = gid.y * outa.get_width() + gid.x;
  }
  ushort2 gid_ = gid.xy;
  if (in0_is_tex) {
    out.write(in0.read(gid_) - in1[idx % last_dim], gid_);
  } else {
    outa.write(ina0.read(gid_, gid.z) - in1[idx % last_dim], gid_, gid.z);
  }
}

kernel void elementwise_add_nonarray(texture2d<half, access::read> in0[[texture(0)]],
                                     texture2d<half, access::read> in1[[texture(1)]],
                                     texture2d<half, access::write> out[[texture(2)]],
                                     ushort2 gid[[thread_position_in_grid]]) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    out.write(in0.read(gid) + in1.read(gid), gid);
}

kernel void elementwise_add(texture2d_array<half, access::read> in0[[texture(0)]],
                            texture2d_array<half, access::read> in1[[texture(1)]],
                            texture2d_array<half, access::write> out[[texture(2)]],
                            ushort3 gid[[thread_position_in_grid]]) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
        return;
    }
    ushort2 gid_ = gid.xy;
    out.write(in0.read(gid_, gid.z) + in1.read(gid_, gid.z), gid_, gid.z);
}

constant bool has_in0_arg = (ushort_arg_0 > 0);
constant bool has_in1_arg = (ushort_arg_1 > 0);
constant bool has_in2_arg = (ushort_arg_2 > 0);
constant bool has_in3_arg = (ushort_arg_3 > 0);

constant bool has_in0_tex = (has_in0_arg && ushort_arg_0 <= 4 && ushort_arg_5 <= 1);
constant bool has_in1_tex = (has_in1_arg && ushort_arg_1 <= 4 && ushort_arg_5 <= 1);
constant bool has_in2_tex = (has_in2_arg && ushort_arg_2 <= 4 && ushort_arg_5 <= 1);
constant bool has_in3_tex = (has_in3_arg && ushort_arg_3 <= 4 && ushort_arg_5 <= 1);

constant bool has_in0_array = (has_in0_arg && !has_in0_tex);
constant bool has_in1_array = (has_in1_arg && !has_in1_tex);
constant bool has_in2_array = (has_in2_arg && !has_in2_tex);
constant bool has_in3_array = (has_in3_arg && !has_in3_tex);

constant bool concat_has_out_tex = (ushort_arg_4 <= 4 && ushort_arg_5 <= 1);
constant bool concat_has_out_array = !concat_has_out_tex;

inline ushort idx_3(ushort z, ushort C0, ushort C1, ushort C2, ushort C3) {
  if (z < C0) {
    return 0;
  }
  if (z < (C0 + C1)) {
    return 1;
  }
  if (z < (C0 + C1 + C2)) {
    return 2;
  }
  return 3;
}

inline ushort idx_2(ushort z, ushort C0, ushort C1, ushort C2) {
  if (z < C0) {
    return 0;
  }
  if (z < (C0 + C1)) {
    return 1;
  }
  return 2;
}

inline ushort idx_1(ushort z, ushort C0, ushort C1) {
  if (z < C0) {
    return 0;
  } else {
    return 1;
  }
}

inline ushort idx_0(ushort z, ushort C0) { return 0; }

// in a texture_array with size C, find the offset for image N at plane c.
inline constexpr ushort z_off(ushort n, ushort c, ushort C) { return n * divRoundUp(C, 4) + c / 4; }

kernel void concat(
                   texture2d<half, access::read> in0[[ texture(0), function_constant(has_in0_tex) ]],
                   texture2d<half, access::read> in1[[ texture(1), function_constant(has_in1_tex) ]],
                   texture2d<half, access::read> in2[[ texture(2), function_constant(has_in2_tex) ]],
                   texture2d<half, access::read> in3[[ texture(3), function_constant(has_in3_tex) ]],
                   texture2d_array<half, access::read> ina0[[ texture(0), function_constant(has_in0_array) ]],
                   texture2d_array<half, access::read> ina1[[ texture(1), function_constant(has_in1_array) ]],
                   texture2d_array<half, access::read> ina2[[ texture(2), function_constant(has_in2_array) ]],
                   texture2d_array<half, access::read> ina3[[ texture(3), function_constant(has_in3_array) ]],
                   texture2d<half, access::write> out[[texture(5),
                                                       function_constant(concat_has_out_tex) ]],
                   texture2d_array<half, access::write> outa[[texture(5),
                                                              function_constant(concat_has_out_array) ]],
                   ushort3 gid[[thread_position_in_grid]]) {
  if (concat_has_out_tex) {
    if (gid.x >= out.get_width() || gid.y >= out.get_height()) {
      return;
    }
  } else {
    if (gid.x >= outa.get_width() || gid.y >= outa.get_height()) {
      return;
    }
  }
  
  const ushort C0 = ushort_arg_0;
  const ushort C1 = ushort_arg_1;
  const ushort C2 = ushort_arg_2;
  const ushort C3 = ushort_arg_3;
  const ushort C = C0 + C1 + C2 + C3;
  const ushort n = gid.z / divRoundUp(C, 4);
  const ushort c = gid.z - n * divRoundUp(C, 4);
  // Fill channel 4*c to 4*(c+1) of nth image of output
  
  ushort2 gid_ = ushort2(gid.x, gid.y);
  half4 value;
  
  for (int off = 0; off < 4; ++off) {
    ushort cur_channel = c * 4 + off;
    ushort cur_idx = 0;
    if (cur_channel >= C) {
      break;
    }
    if (has_in3_arg) {
      cur_idx = idx_3(cur_channel, C0, C1, C2, C3);
    } else if (has_in2_arg) {
      cur_idx = idx_2(cur_channel, C0, C1, C2);
    } else if (has_in1_arg) {
      cur_idx = idx_1(cur_channel, C0, C1);
    } else if (has_in0_arg) {
      cur_idx = idx_0(cur_channel, C0);
    } else {
      // never reached.
      cur_idx = 0;
    }
    ushort src_off = 0;
    switch (cur_idx) {
      case 0:
        src_off = cur_channel % 4;
        break;
      case 1:
        src_off = (cur_channel - C0) % 4;
        break;
      case 2:
        src_off = (cur_channel - (C0 + C1)) % 4;
        break;
      case 3:
        src_off = (cur_channel - (C0 + C1 + C2)) % 4;
        break;
    }
    // try to see if we can only issue one read op for the 4 values
    bool fast_path = false;
    if (off == 0 && src_off == 0 && (cur_channel + 3) < C) {
      ushort last_idx = 0;
      if (has_in3_arg) {
        last_idx = idx_3(cur_channel + 3, C0, C1, C2, C3);
      } else if (has_in2_arg) {
        last_idx = idx_2(cur_channel + 3, C0, C1, C2);
      } else if (has_in1_arg) {
        last_idx = idx_1(cur_channel + 3, C0, C1);
      } else if (has_in0_arg) {
        last_idx = idx_0(cur_channel + 3, C0);
      } else {
        // never reached.
        last_idx = 0;
      }
      if (cur_idx == last_idx) {
        fast_path = true;
      }
    }
    switch (cur_idx) {
      case 0: {
        if (has_in0_tex) {
          if (fast_path) {
            value = in0.read(gid_);
          } else {
            value[off] = in0.read(gid_)[src_off];
          }
        }
        if (has_in0_array) {
          if (fast_path) {
            value = ina0.read(gid_, z_off(n, cur_channel, C0));
          } else {
            value[off] = ina0.read(gid_, z_off(n, cur_channel, C0))[src_off];
          }
        }
        break;
      }
      case 1: {
        if (has_in1_tex) {
          if (fast_path) {
            value = in1.read(gid_);
          } else {
            value[off] = in1.read(gid_)[src_off];
          }
        }
        if (has_in1_array) {
          if (fast_path) {
            value = ina1.read(gid_, z_off(n, cur_channel - C0, C1));
          } else {
            value[off] = ina1.read(gid_, z_off(n, cur_channel - C0, C1))[src_off];
          }
        }
        break;
      }
      case 2: {
        if (has_in2_tex) {
          if (fast_path) {
            value = in2.read(gid_);
          } else {
            value[off] = in2.read(gid_)[src_off];
          }
        }
        if (has_in2_array) {
          if (fast_path) {
            value = ina2.read(gid_, z_off(n, cur_channel - (C0 + C1), C2));
          } else {
            value[off] = ina2.read(gid_, z_off(n, cur_channel - (C0 + C1), C2))[src_off];
          }
        }
        break;
      }
      case 3: {
        if (has_in3_tex) {
          if (fast_path) {
            value = in3.read(gid_);
          } else {
            value[off] = in3.read(gid_)[src_off];
          }
        }
        if (has_in3_array) {
          if (fast_path) {
            value = ina3.read(gid_, z_off(n, cur_channel - (C0 + C1 + C2), C3));
          } else {
            value[off] = ina3.read(gid_, z_off(n, cur_channel - (C0 + C1 + C2), C3))[src_off];
          }
        }
        break;
      }
    }
    if (fast_path) {
      break;
    }
  }
  if (concat_has_out_tex) {
    out.write(value, gid_, gid.z);
  } else {
    outa.write(value, gid_, gid.z);
  }
}

using RoIT = half;
using RoIT4 = half4;
constant bool rw_has_in_arr = (ushort_arg_3 > 1 ||  ushort_arg_2 > 4);
constant bool rw_has_out_arr = (ushort_arg_4 > 1 || ushort_arg_2 > 4);
constant bool rw_has_in_tex = (!rw_has_in_arr);
constant bool rw_has_out_tex = (!rw_has_out_arr);
kernel void roi_warp(texture2d_array<half, access::sample> ina[[texture(0), function_constant(rw_has_in_arr)]],
                     texture2d<half, access::sample> in[[texture(0), function_constant(rw_has_in_tex)]],
                     texture2d_array<half, access::write> outa[[texture(1), function_constant(rw_has_out_arr)]],
                     texture2d<half, access::write> out[[texture(1), function_constant(rw_has_out_tex)]],
                     constant half4* rois[[buffer(0)]],
                     ushort3 gid[[thread_position_in_grid]]) {
  ushort out_width, out_height;
  if (rw_has_out_arr) {
    out_width = outa.get_width();
    out_height = outa.get_height();
  } else {
    out_width = out.get_width();
    out_height = out.get_height();
  }
  if (gid.x >= out_width || gid.y >= out_height) {
    return;
  }
  constexpr sampler s2(coord::pixel, address::clamp_to_edge, filter::linear);

  const half spatial_scale = half(ushort_arg_0) / 10000;
  const ushort sampling_ratio = ushort_arg_1;
  const ushort C = ushort_arg_2;
  const ushort pw = gid.x;
  const ushort ph = gid.y;
  const ushort n = gid.z / divRoundUp(C, 4);
  const ushort c = gid.z % divRoundUp(C, 4);

  const RoIT4 roi_scaled = rois[n] * spatial_scale;
  const RoIT roi_start_w = roi_scaled[0];
  const RoIT roi_start_h = roi_scaled[1];
  const RoIT roi_end_w = roi_scaled[2];
  const RoIT roi_end_h = roi_scaled[3];

  // Force malformed ROIs to be 1x1
  const RoIT roi_width = max(roi_end_w - roi_start_w, (RoIT)1.);
  const RoIT roi_height = max(roi_end_h - roi_start_h, (RoIT)1.);

  const RoIT bin_size_h = static_cast<RoIT>(roi_height) / static_cast<RoIT>(out_height);
  const RoIT bin_size_w = static_cast<RoIT>(roi_width) / static_cast<RoIT>(out_width);
  const ushort roi_bin_grid_h = sampling_ratio > 0 ? sampling_ratio : ceil(roi_height / static_cast<RoIT>(out_height));
  const ushort roi_bin_grid_w = sampling_ratio > 0 ? sampling_ratio : ceil(roi_width / static_cast<RoIT>(out_width));
  const ushort iy_upper = (sampling_ratio > 0) ? roi_bin_grid_h : (roi_bin_grid_h + 1);
  const ushort ix_upper = (sampling_ratio > 0) ? roi_bin_grid_w : (roi_bin_grid_w + 1);

  const RoIT count = iy_upper * ix_upper;

  RoIT4 output_val = 0.0;
  for (int iy = 0; iy < iy_upper; iy++) {
    for (int ix = 0; ix < ix_upper; ix++) {
      const RoIT y =
          roi_start_h + ph * bin_size_h + iy * bin_size_h / static_cast<RoIT>(roi_bin_grid_h);
      const RoIT x =
          roi_start_w + pw * bin_size_w + ix * bin_size_w / static_cast<RoIT>(roi_bin_grid_w);
      if (rw_has_in_arr) {
        output_val += ina.sample(s2, float2(x + 0.5, y + 0.5), c);
      } else {
        output_val += in.sample(s2, float2(x + 0.5, y + 0.5));
      }
    }
  }
  output_val /= count;
  if (rw_has_out_arr) {
    outa.write(static_cast<half4>(output_val), gid.xy, gid.z);
  } else {
    out.write(static_cast<half4>(output_val), gid.xy);
  }
}

kernel void resize_nearest(texture2d_array<half, access::sample> in[[texture(0)]],
                           texture2d_array<half, access::write> out[[texture(1)]],
                           ushort3 gid[[thread_position_in_grid]]) {
    const ushort oH = ushort_arg_0;
    const ushort oW = ushort_arg_1;
    if (gid.x >= oW || gid.y >= oH) {
        return;
    }
    const float height_scale = float(ushort_arg_2) / 10000;
    const float width_scale = float(ushort_arg_3) / 10000;
    constexpr sampler s(coord::pixel, address::clamp_to_edge, filter::nearest);
    const int in_y = (int)(gid.y / height_scale);
    const int in_x = (int)(gid.x / width_scale);
    out.write(in.sample(s, float2(in_x, in_y), gid.z), gid.xy, gid.z);
}

kernel void resize_nearest_nonarray(texture2d<half, access::sample> in[[texture(0)]],
                                    texture2d<half, access::write> out[[texture(1)]],
                                    ushort2 gid[[thread_position_in_grid]]) {
    const ushort oH = ushort_arg_0;
    const ushort oW = ushort_arg_1;
    if (gid.x >= oW || gid.y >= oH) {
        return;
    }
    const float height_scale = float(ushort_arg_2) / 10000;
    const float width_scale = float(ushort_arg_3) / 10000;
    constexpr sampler s(coord::pixel, address::clamp_to_edge, filter::nearest);
    const int in_y = (int)(gid.y / height_scale);
    const int in_x = (int)(gid.x / width_scale);
    out.write(in.sample(s, float2(in_x, in_y)), gid.xy);
}

kernel void nms(device uint* mask[[buffer(0)]],
                constant float* proposals[[buffer(1)]],
                constant int* indices[[buffer(2)]],
                ushort2 tgid[[threadgroup_position_in_grid]],
                ushort2 tid[[thread_position_in_threadgroup]]) {
    const ushort num_proposals = ushort_arg_0;
    const ushort threads_per_group = ushort_arg_1;
    float nms_thresh = float(ushort_arg_2) / 10000.0;
    const ushort global_offset = ushort_arg_3;
    const ushort row_start = tgid.y;
    const ushort col_start = tgid.x;
    const ushort trd_id = tid.x;
    
    const short row_size = min(short(32), short(num_proposals - row_start * threads_per_group));
    const short col_size = min(short(32), short(num_proposals - col_start * threads_per_group));
    
    // mask the bit if the IoU between two proposals exceeds the threshold
    if (trd_id < row_size) {
        const ushort cur_idx = global_offset + row_start * threads_per_group + trd_id;
        const ushort offset = indices[cur_idx] * 4;
        const float4 cur_proposal = float4(
                                           proposals[offset], proposals[offset + 1], proposals[offset + 2], proposals[offset + 3]);
        uint cur_mask = 0;
        ushort group_start = 0; // start index within group
        if (row_start == col_start) {
            // if in the same group, start from the next
            group_start = trd_id + 1;
        }
        for (ushort i = group_start; i < col_size; i++) {
            float4 a = cur_proposal;
            ushort idx = indices[global_offset + col_start * threads_per_group + i] * 4;
            float4 b = float4(proposals[idx], proposals[idx + 1], proposals[idx + 2], proposals[idx + 3]);
            float left = max(a[0], b[0]);
            float right = min(a[2], b[2]);
            float top = max(a[1], b[1]);
            float bottom = min(a[3], b[3]);
            float width = max(right - left + 1.0, 0.0);
            float height = max(bottom - top + 1.0, 0.0);
            float interS = width * height;
            float Sa = (a[2] - a[0] + 1.0) * (a[3] - a[1] + 1.0);
            float Sb = (b[2] - b[0] + 1.0) * (b[3] - b[1] + 1.0);
            float iou = interS / (Sa + Sb - interS);
            if (iou - nms_thresh > 0) {
                cur_mask |= 1U << i;
            }
        }
        ushort col_blocks = (num_proposals + threads_per_group - 1) / threads_per_group;
        mask[cur_idx * col_blocks + col_start] = cur_mask;
    }
}


)V0G0N";
