vulkan: fuse rms_norm + mul + rope (+ view + set_rows) (#16977)
This change combines the rms_norm+mul and rope+view+set_rows fusions to allow fusing the whole sequence together. This comes up in Qwen3, Bailing, and some other models.
This commit is contained in:
@@ -3,6 +3,9 @@
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#include "rte.glsl"
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#include "utils.glsl"
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#if RMS_NORM_ROPE_FUSION
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#include "rope_params.glsl"
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#endif
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layout (push_constant) uniform parameter
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{
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@@ -12,11 +15,16 @@ layout (push_constant) uniform parameter
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uint ne20; uint ne21; uint ne22; uint ne23; uint nb20; uint nb21; uint nb22; uint nb23;
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uint misalign_offsets;
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float param1; float param2; int param3;
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#if RMS_NORM_ROPE_FUSION
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rope_params rope;
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#endif
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} p;
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#if !RMS_NORM_ROPE_FUSION
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layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
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layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
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layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
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#endif
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// true if src0/src1 are the same shape and the indices can be reused without additional modulus
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layout(constant_id = 0) const bool norepeat = false;
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@@ -3,6 +3,32 @@
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#include "generic_binary_head.glsl"
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#include "types.glsl"
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#if RMS_NORM_ROPE_FUSION
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layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
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layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
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// data is passed from rms_norm -> rope through shared memory.
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// rms_norm calls this data_d, rope calls this rope_data_a.
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// Binding 2 is not used
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shared FLOAT_TYPE rope_data_a[1024];
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#define data_d rope_data_a
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layout (binding = 3) readonly buffer R_Y {int rope_data_pos[];};
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layout (binding = 4) readonly buffer R_Z {float rope_data_ff[];};
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layout (binding = 5) writeonly buffer R_D {ROPE_D_TYPE rope_data_d[];};
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layout (binding = 6) readonly buffer R_I {uvec2 rope_data_i[];}; // indices for set_rows
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#include "rope_params.glsl"
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#include "rope_funcs.glsl"
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#define GGML_ROPE_TYPE_NORMAL 0
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#define GGML_ROPE_TYPE_NEOX 2
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#define GGML_ROPE_TYPE_MROPE 8
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#define GGML_ROPE_TYPE_VISION 24
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#endif
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#extension GL_EXT_control_flow_attributes : enable
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#define BLOCK_SIZE 512
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@@ -28,8 +54,12 @@ void rms_norm(uint num_iters) {
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uint32_t a_offset = samp*stride_sample + channel*stride_channel + row*stride_row + get_aoffset();
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uint32_t b_offset = src1_idx(0, row, channel, samp) + get_boffset();
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#if RMS_NORM_ROPE_FUSION
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// Per-row offset in shared memory
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uint32_t d_offset = 0;
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#else
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uint32_t d_offset = ((samp*nchannels + channel)*nrows + row)*ncols + get_doffset();
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#endif
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FLOAT_TYPE sum = FLOAT_TYPE(0.0f); // partial sum for thread in warp
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[[unroll]] for (uint col = tid, idx = 0; idx < num_iters; col += BLOCK_SIZE, ++idx) {
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@@ -79,6 +109,18 @@ void rms_norm(uint num_iters) {
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data_d[d_offset + col] = D_TYPE(scale * FLOAT_TYPE(data_a[a_offset + col]));
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}
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}
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#if RMS_NORM_ROPE_FUSION
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barrier();
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rope_params rp = p.rope;
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uint rope_row = (samp*nchannels + channel)*nrows + row;
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for (uint t = 2*tid; t < ncols; t += 2*BLOCK_SIZE) {
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if (rp.rope_mode == GGML_ROPE_TYPE_NEOX) {
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rope_neox(t, rope_row, rp);
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} else if (rp.rope_mode == GGML_ROPE_TYPE_NORMAL) {
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rope_norm(t, rope_row, rp);
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}
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}
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#endif
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}
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void main() {
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@@ -0,0 +1,227 @@
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float rope_yarn_ramp(const float low, const float high, const uint i0) {
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const float y = (i0 / 2 - low) / max(0.001f, high - low);
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return 1.0f - min(1.0f, max(0.0f, y));
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}
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uint rope_a_coord(const uint i0, const uint i01, const uint i02, rope_params p) {
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#if RMS_NORM_ROPE_FUSION
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// Per-row offset in shared memory
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const uint ix = i0;
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#else
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const uint ix = i02*p.nb02 + i01*p.nb01 + i0;
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#endif
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return ix;
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}
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void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta, rope_params p) {
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float mscale = p.attn_factor;
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// Get n-d rotational scaling corrected for extrapolation
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float theta_interp = p.freq_scale * theta_extrap;
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float theta = theta_interp;
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if (p.ext_factor != 0.0f) {
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float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor;
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theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix;
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// Get n-d magnitude scaling corrected for interpolation
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mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale);
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}
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// Backprogagation uses inverted rotation
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if (p.is_back != 0) {
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theta = -theta;
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}
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cos_theta = cos(theta) * mscale;
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sin_theta = sin(theta) * mscale;
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}
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void rope_norm(const uint i0, const uint i1, rope_params p) {
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uint ne0 = p.ncols;
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uint ne1 = p.p_delta_rows;
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if (i0 >= ne0) {
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return;
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}
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// i1 is actually i2*nb2+i1, but the rows are contiguous
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const uint i01 = i1 % ne1;
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const uint i02 = i1 / ne1;
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uint idst = i1*ne0 + i0;
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const uint ix = rope_a_coord(i0, i01, i02, p);
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// Fusion optimization: ROPE + VIEW + SET_ROWS..
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// The rope output is viewed as a 1D tensor and offset based on a row index in data_i.
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if (p.set_rows_stride != 0) {
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idst = i01*ne0 + i0;
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idst += rope_data_i[i02].x * p.set_rows_stride;
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}
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if (i0 >= p.n_dims) {
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rope_data_d[idst + 0] = ROPE_D_TYPE(rope_data_a[ix + 0]);
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rope_data_d[idst + 1] = ROPE_D_TYPE(rope_data_a[ix + 1]);
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return;
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}
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const float theta_base = rope_data_pos[i02] * pow(p.theta_scale, i0/2.0f);
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const float freq_factor = p.has_ff != 0 ? rope_data_ff[i0/2] : 1.0f;
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float cos_theta, sin_theta;
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rope_yarn(theta_base / freq_factor, i0, cos_theta, sin_theta, p);
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const float x0 = float(rope_data_a[ix + 0]);
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const float x1 = float(rope_data_a[ix + 1]);
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rope_data_d[idst + 0] = ROPE_D_TYPE(x0*cos_theta - x1*sin_theta);
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rope_data_d[idst + 1] = ROPE_D_TYPE(x0*sin_theta + x1*cos_theta);
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}
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void rope_neox(const uint i0, const uint i1, rope_params p) {
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uint ne0 = p.ncols;
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uint ne1 = p.p_delta_rows;
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if (i0 >= ne0) {
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return;
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}
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const uint i01 = i1 % ne1;
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const uint i02 = i1 / ne1;
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uint idst = i1*ne0 + i0/2;
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const uint ix = rope_a_coord(i0/2, i01, i02, p);
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// Fusion optimization: ROPE + VIEW + SET_ROWS..
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// The rope output is viewed as a 1D tensor and offset based on a row index in rope_data_i.
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if (p.set_rows_stride != 0) {
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idst = i01*ne0 + i0/2;
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idst += rope_data_i[i02].x * p.set_rows_stride;
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}
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if (i0 >= p.n_dims) {
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rope_data_d[idst + i0/2 + 0] = ROPE_D_TYPE(rope_data_a[ix + i0/2 + 0]);
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rope_data_d[idst + i0/2 + 1] = ROPE_D_TYPE(rope_data_a[ix + i0/2 + 1]);
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return;
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}
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const float theta_base = rope_data_pos[i02] * pow(p.theta_scale, i0/2.0f);
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const float freq_factor = p.has_ff != 0 ? rope_data_ff[i0/2] : 1.0f;
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float cos_theta, sin_theta;
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rope_yarn(theta_base / freq_factor, i0, cos_theta, sin_theta, p);
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const float x0 = float(rope_data_a[ix + 0]);
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const float x1 = float(rope_data_a[ix + p.n_dims/2]);
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rope_data_d[idst + 0] = ROPE_D_TYPE(x0*cos_theta - x1*sin_theta);
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rope_data_d[idst + p.n_dims/2] = ROPE_D_TYPE(x0*sin_theta + x1*cos_theta);
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}
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void rope_multi(const uint i0, const uint i1, rope_params p) {
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uint ne0 = p.ncols;
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uint ne1 = p.p_delta_rows;
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uint ne2 = p.ne02;
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if (i0 >= ne0) {
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return;
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}
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const uint i01 = i1 % ne1;
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const uint i02 = i1 / ne1;
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const uint idst = i1*ne0 + i0/2;
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const uint ix = rope_a_coord(i0/2, i01, i02, p);
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if (i0 >= p.n_dims) {
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rope_data_d[idst + i0/2 + 0] = ROPE_D_TYPE(rope_data_a[ix + i0/2 + 0]);
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rope_data_d[idst + i0/2 + 1] = ROPE_D_TYPE(rope_data_a[ix + i0/2 + 1]);
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return;
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}
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const int sect_dims = p.sections[0] + p.sections[1] + p.sections[2] + p.sections[3];
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const int sec_w = p.sections[1] + p.sections[0];
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const uint sector = (i0 / 2) % sect_dims;
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float theta_base = 0.0;
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if (p.is_imrope != 0) {
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if (sector % 3 == 1 && sector < 3 * p.sections[1]) {
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theta_base = rope_data_pos[i02 + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
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} else if (sector % 3 == 2 && sector < 3 * p.sections[2]) {
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theta_base = rope_data_pos[i02 + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
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} else if (sector % 3 == 0 && sector < 3 * p.sections[0]) {
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theta_base = rope_data_pos[i02]*pow(p.theta_scale, i0/2.0f);
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} else {
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theta_base = rope_data_pos[i02 + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
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}
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} else {
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if (sector < p.sections[0]) {
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theta_base = rope_data_pos[i02]*pow(p.theta_scale, i0/2.0f);
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}
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else if (sector >= p.sections[0] && sector < sec_w) {
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theta_base = rope_data_pos[i02 + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
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}
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else if (sector >= sec_w && sector < sec_w + p.sections[2]) {
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theta_base = rope_data_pos[i02 + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
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}
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else if (sector >= sec_w + p.sections[2]) {
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theta_base = rope_data_pos[i02 + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
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}
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}
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const float freq_factor = p.has_ff != 0 ? rope_data_ff[i0/2] : 1.0f;
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float cos_theta, sin_theta;
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rope_yarn(theta_base / freq_factor, i0, cos_theta, sin_theta, p);
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const float x0 = float(rope_data_a[ix + 0]);
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const float x1 = float(rope_data_a[ix + p.n_dims/2]);
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rope_data_d[idst + 0] = ROPE_D_TYPE(x0*cos_theta - x1*sin_theta);
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rope_data_d[idst + p.n_dims/2] = ROPE_D_TYPE(x0*sin_theta + x1*cos_theta);
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}
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void rope_vision(const uint i0, const uint i1, rope_params p) {
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uint ne0 = p.ncols;
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uint ne1 = p.p_delta_rows;
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uint ne2 = p.ne02;
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if (i0 >= ne0) {
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return;
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}
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const uint i01 = i1 % ne1;
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const uint i02 = i1 / ne1;
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const uint idst = i1*ne0 + i0/2;
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const uint ix = rope_a_coord(i0/2, i01, i02, p);
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const int sect_dims = p.sections[0] + p.sections[1];
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const int sec_w = p.sections[1] + p.sections[0];
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const uint sector = (i0 / 2) % sect_dims;
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float theta_base = 0.0;
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if (sector < p.sections[0]) {
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const uint p0 = sector;
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theta_base = rope_data_pos[i02]*pow(p.theta_scale, p0);
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}
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else if (sector >= p.sections[0] && sector < sec_w) {
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const uint p0 = sector - p.sections[0];
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theta_base = rope_data_pos[i02 + ne2]*pow(p.theta_scale, p0);
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}
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const float freq_factor = p.has_ff != 0 ? rope_data_ff[i0/2] : 1.0f;
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float cos_theta, sin_theta;
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rope_yarn(theta_base / freq_factor, i0, cos_theta, sin_theta, p);
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const float x0 = float(rope_data_a[ix + 0]);
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const float x1 = float(rope_data_a[ix + p.n_dims]);
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rope_data_d[idst + 0] = ROPE_D_TYPE(x0*cos_theta - x1*sin_theta);
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rope_data_d[idst + p.n_dims] = ROPE_D_TYPE(x0*sin_theta + x1*cos_theta);
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}
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@@ -3,56 +3,18 @@
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#extension GL_EXT_shader_16bit_storage : require
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#include "rte.glsl"
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#include "rope_params.glsl"
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layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
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layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
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layout (binding = 1) readonly buffer Y {int data_pos[];};
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layout (binding = 2) readonly buffer Z {float data_ff[];};
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layout (binding = 3) writeonly buffer D {D_TYPE data_d[];};
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layout (binding = 4) readonly buffer I {uvec2 data_i[];}; // indices for set_rows
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layout (binding = 0) readonly buffer X {A_TYPE rope_data_a[];};
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layout (binding = 1) readonly buffer Y {int rope_data_pos[];};
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layout (binding = 2) readonly buffer Z {float rope_data_ff[];};
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layout (binding = 3) writeonly buffer D {ROPE_D_TYPE rope_data_d[];};
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layout (binding = 4) readonly buffer I {uvec2 rope_data_i[];}; // indices for set_rows
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layout (push_constant) uniform parameter {
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uint ncols;
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uint n_dims;
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float freq_scale;
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uint p_delta_rows;
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float freq_base;
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float ext_factor;
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float attn_factor;
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float corr_dims[2];
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float theta_scale;
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uint has_ff;
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uint ne02;
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uint s1;
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uint s2;
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int sections[4];
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uint is_imrope;
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uint is_back;
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uint set_rows_stride;
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} p;
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rope_params pc;
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};
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float rope_yarn_ramp(const float low, const float high, const uint i0) {
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const float y = (i0 / 2 - low) / max(0.001f, high - low);
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return 1.0f - min(1.0f, max(0.0f, y));
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}
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void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) {
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float mscale = p.attn_factor;
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// Get n-d rotational scaling corrected for extrapolation
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float theta_interp = p.freq_scale * theta_extrap;
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float theta = theta_interp;
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if (p.ext_factor != 0.0f) {
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float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor;
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theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix;
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// Get n-d magnitude scaling corrected for interpolation
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mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale);
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}
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// Backprogagation uses inverted rotation
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if (p.is_back != 0) {
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theta = -theta;
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}
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cos_theta = cos(theta) * mscale;
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sin_theta = sin(theta) * mscale;
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}
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@@ -1,70 +1,11 @@
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#version 450
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#include "rope_head.glsl"
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#include "rope_funcs.glsl"
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void main() {
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const uint i0 = 2*gl_GlobalInvocationID.y;
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uint ne0 = p.ncols;
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uint ne1 = p.p_delta_rows;
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uint ne2 = p.ne02;
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if (i0 >= ne0) {
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return;
|
||||
}
|
||||
|
||||
const uint row_dst = gl_GlobalInvocationID.x;
|
||||
|
||||
const uint row_x = row_dst % ne1;
|
||||
const uint channel_x = row_dst / ne1;
|
||||
|
||||
const uint idst = row_dst*ne0 + i0/2;
|
||||
const uint ix = channel_x*p.s2 + row_x*p.s1 + i0/2;
|
||||
|
||||
if (i0 >= p.n_dims) {
|
||||
data_d[idst + i0/2 + 0] = data_a[ix + i0/2 + 0];
|
||||
data_d[idst + i0/2 + 1] = data_a[ix + i0/2 + 1];
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
const int sect_dims = p.sections[0] + p.sections[1] + p.sections[2] + p.sections[3];
|
||||
const int sec_w = p.sections[1] + p.sections[0];
|
||||
const uint sector = (i0 / 2) % sect_dims;
|
||||
|
||||
float theta_base = 0.0;
|
||||
if (p.is_imrope != 0) {
|
||||
if (sector % 3 == 1 && sector < 3 * p.sections[1]) {
|
||||
theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
|
||||
} else if (sector % 3 == 2 && sector < 3 * p.sections[2]) {
|
||||
theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
|
||||
} else if (sector % 3 == 0 && sector < 3 * p.sections[0]) {
|
||||
theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
|
||||
} else {
|
||||
theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
|
||||
}
|
||||
} else {
|
||||
if (sector < p.sections[0]) {
|
||||
theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
|
||||
}
|
||||
else if (sector >= p.sections[0] && sector < sec_w) {
|
||||
theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
|
||||
}
|
||||
else if (sector >= sec_w && sector < sec_w + p.sections[2]) {
|
||||
theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
|
||||
}
|
||||
else if (sector >= sec_w + p.sections[2]) {
|
||||
theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
|
||||
}
|
||||
}
|
||||
|
||||
const float freq_factor = p.has_ff != 0 ? data_ff[i0/2] : 1.0f;
|
||||
|
||||
float cos_theta, sin_theta;
|
||||
rope_yarn(theta_base / freq_factor, i0, cos_theta, sin_theta);
|
||||
|
||||
const float x0 = float(data_a[ix + 0]);
|
||||
const float x1 = float(data_a[ix + p.n_dims/2]);
|
||||
|
||||
data_d[idst + 0] = D_TYPE(x0*cos_theta - x1*sin_theta);
|
||||
data_d[idst + p.n_dims/2] = D_TYPE(x0*sin_theta + x1*cos_theta);
|
||||
// i1 is actually i2*nb2+i1, but the rows are contiguous
|
||||
const uint i1 = gl_GlobalInvocationID.x;
|
||||
rope_multi(i0, i1, pc);
|
||||
}
|
||||
|
||||
@@ -1,48 +1,11 @@
|
||||
#version 450
|
||||
|
||||
#include "rope_head.glsl"
|
||||
#include "rope_funcs.glsl"
|
||||
|
||||
void main() {
|
||||
const uint i0 = 2*gl_GlobalInvocationID.y;
|
||||
uint ne0 = p.ncols;
|
||||
uint ne1 = p.p_delta_rows;
|
||||
|
||||
if (i0 >= ne0) {
|
||||
return;
|
||||
}
|
||||
|
||||
const uint row_dst = gl_GlobalInvocationID.x;
|
||||
|
||||
const uint row_x = row_dst % ne1;
|
||||
const uint channel_x = row_dst / ne1;
|
||||
|
||||
uint idst = row_dst*ne0 + i0/2;
|
||||
const uint ix = channel_x*p.s2 + row_x*p.s1 + i0/2;
|
||||
|
||||
// Fusion optimization: ROPE + VIEW + SET_ROWS..
|
||||
// The rope output is viewed as a 1D tensor and offset based on a row index in data_i.
|
||||
if (p.set_rows_stride != 0) {
|
||||
idst = row_x*ne0 + i0/2;
|
||||
idst += data_i[channel_x].x * p.set_rows_stride;
|
||||
}
|
||||
|
||||
if (i0 >= p.n_dims) {
|
||||
data_d[idst + i0/2 + 0] = D_TYPE(data_a[ix + i0/2 + 0]);
|
||||
data_d[idst + i0/2 + 1] = D_TYPE(data_a[ix + i0/2 + 1]);
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
const float theta_base = data_pos[channel_x] * pow(p.theta_scale, i0/2.0f);
|
||||
|
||||
const float freq_factor = p.has_ff != 0 ? data_ff[i0/2] : 1.0f;
|
||||
|
||||
float cos_theta, sin_theta;
|
||||
rope_yarn(theta_base / freq_factor, i0, cos_theta, sin_theta);
|
||||
|
||||
const float x0 = float(data_a[ix + 0]);
|
||||
const float x1 = float(data_a[ix + p.n_dims/2]);
|
||||
|
||||
data_d[idst + 0] = D_TYPE(x0*cos_theta - x1*sin_theta);
|
||||
data_d[idst + p.n_dims/2] = D_TYPE(x0*sin_theta + x1*cos_theta);
|
||||
// i1 is actually i2*nb2+i1, but the rows are contiguous
|
||||
const uint i1 = gl_GlobalInvocationID.x;
|
||||
rope_neox(i0, i1, pc);
|
||||
}
|
||||
|
||||
@@ -1,48 +1,11 @@
|
||||
#version 450
|
||||
|
||||
#include "rope_head.glsl"
|
||||
#include "rope_funcs.glsl"
|
||||
|
||||
void main() {
|
||||
const uint i0 = 2*gl_GlobalInvocationID.y;
|
||||
uint ne0 = p.ncols;
|
||||
uint ne1 = p.p_delta_rows;
|
||||
|
||||
if (i0 >= ne0) {
|
||||
return;
|
||||
}
|
||||
|
||||
const uint row_dst = gl_GlobalInvocationID.x;
|
||||
|
||||
const uint row_x = row_dst % ne1;
|
||||
const uint channel_x = row_dst / ne1;
|
||||
|
||||
uint idst = row_dst*ne0 + i0;
|
||||
const uint ix = channel_x*p.s2 + row_x*p.s1 + i0;
|
||||
|
||||
// Fusion optimization: ROPE + VIEW + SET_ROWS..
|
||||
// The rope output is viewed as a 1D tensor and offset based on a row index in data_i.
|
||||
if (p.set_rows_stride != 0) {
|
||||
idst = row_x*ne0 + i0;
|
||||
idst += data_i[channel_x].x * p.set_rows_stride;
|
||||
}
|
||||
|
||||
if (i0 >= p.n_dims) {
|
||||
data_d[idst + 0] = D_TYPE(data_a[ix + 0]);
|
||||
data_d[idst + 1] = D_TYPE(data_a[ix + 1]);
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
const float theta_base = data_pos[channel_x] * pow(p.theta_scale, i0/2.0f);
|
||||
|
||||
const float freq_factor = p.has_ff != 0 ? data_ff[i0/2] : 1.0f;
|
||||
|
||||
float cos_theta, sin_theta;
|
||||
rope_yarn(theta_base / freq_factor, i0, cos_theta, sin_theta);
|
||||
|
||||
const float x0 = float(data_a[ix + 0]);
|
||||
const float x1 = float(data_a[ix + 1]);
|
||||
|
||||
data_d[idst + 0] = D_TYPE(x0*cos_theta - x1*sin_theta);
|
||||
data_d[idst + 1] = D_TYPE(x0*sin_theta + x1*cos_theta);
|
||||
// i1 is actually i2*nb2+i1, but the rows are contiguous
|
||||
const uint i1 = gl_GlobalInvocationID.x;
|
||||
rope_norm(i0, i1, pc);
|
||||
}
|
||||
|
||||
@@ -0,0 +1,27 @@
|
||||
#if !defined(GGML_ROPE_PARAMS)
|
||||
#define GGML_ROPE_PARAMS
|
||||
|
||||
#include "rte.glsl"
|
||||
|
||||
struct rope_params {
|
||||
uint rope_mode;
|
||||
uint ncols;
|
||||
uint n_dims;
|
||||
float freq_scale;
|
||||
uint p_delta_rows;
|
||||
float freq_base;
|
||||
float ext_factor;
|
||||
float attn_factor;
|
||||
float corr_dims[2];
|
||||
float theta_scale;
|
||||
uint has_ff;
|
||||
uint ne02;
|
||||
uint nb01;
|
||||
uint nb02;
|
||||
int sections[4];
|
||||
uint is_imrope;
|
||||
uint is_back;
|
||||
uint set_rows_stride;
|
||||
};
|
||||
|
||||
#endif // !defined(GGML_ROPE_PARAMS)
|
||||
@@ -1,47 +1,11 @@
|
||||
#version 450
|
||||
|
||||
#include "rope_head.glsl"
|
||||
#include "rope_funcs.glsl"
|
||||
|
||||
void main() {
|
||||
const uint i0 = 2*gl_GlobalInvocationID.y;
|
||||
uint ne0 = p.ncols;
|
||||
uint ne1 = p.p_delta_rows;
|
||||
uint ne2 = p.ne02;
|
||||
|
||||
if (i0 >= ne0) {
|
||||
return;
|
||||
}
|
||||
|
||||
const uint row_dst = gl_GlobalInvocationID.x;
|
||||
|
||||
const uint row_x = row_dst % ne1;
|
||||
const uint channel_x = row_dst / ne1;
|
||||
|
||||
const uint idst = row_dst*ne0 + i0/2;
|
||||
const uint ix = channel_x*p.s2 + row_x*p.s1 + i0/2;
|
||||
|
||||
const int sect_dims = p.sections[0] + p.sections[1];
|
||||
const int sec_w = p.sections[1] + p.sections[0];
|
||||
const uint sector = (i0 / 2) % sect_dims;
|
||||
|
||||
float theta_base = 0.0;
|
||||
if (sector < p.sections[0]) {
|
||||
const uint p0 = sector;
|
||||
theta_base = data_pos[channel_x]*pow(p.theta_scale, p0);
|
||||
}
|
||||
else if (sector >= p.sections[0] && sector < sec_w) {
|
||||
const uint p0 = sector - p.sections[0];
|
||||
theta_base = data_pos[channel_x + ne2]*pow(p.theta_scale, p0);
|
||||
}
|
||||
|
||||
const float freq_factor = p.has_ff != 0 ? data_ff[i0/2] : 1.0f;
|
||||
|
||||
float cos_theta, sin_theta;
|
||||
rope_yarn(theta_base / freq_factor, i0, cos_theta, sin_theta);
|
||||
|
||||
const float x0 = float(data_a[ix + 0]);
|
||||
const float x1 = float(data_a[ix + p.n_dims]);
|
||||
|
||||
data_d[idst + 0] = D_TYPE(x0*cos_theta - x1*sin_theta);
|
||||
data_d[idst + p.n_dims] = D_TYPE(x0*sin_theta + x1*cos_theta);
|
||||
// i1 is actually i2*nb2+i1, but the rows are contiguous
|
||||
const uint i1 = gl_GlobalInvocationID.x;
|
||||
rope_vision(i0, i1, pc);
|
||||
}
|
||||
|
||||
@@ -695,6 +695,8 @@ void process_shaders() {
|
||||
string_to_spv("group_norm_f32", "group_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
|
||||
string_to_spv("rms_norm_f32", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
|
||||
string_to_spv("rms_norm_partials_f32", "rms_norm_partials.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
|
||||
string_to_spv("rms_norm_mul_rope_f32_f32", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"ROPE_D_TYPE", "float"}, {"RMS_NORM_ROPE_FUSION", "1"}}));
|
||||
string_to_spv("rms_norm_mul_rope_f32_f16_rte", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RMS_NORM_ROPE_FUSION", "1"}, {"RTE16", "1"}}));
|
||||
string_to_spv("rms_norm_back_f32", "rms_norm_back.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
|
||||
string_to_spv("l2_norm_f32", "l2_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
|
||||
|
||||
@@ -840,25 +842,25 @@ void process_shaders() {
|
||||
string_to_spv("soft_max_f32_f16", "soft_max.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float16_t"}, {"D_TYPE", "float"}}));
|
||||
string_to_spv("soft_max_back_f32", "soft_max_back.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
|
||||
|
||||
string_to_spv("rope_norm_f32", "rope_norm.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
|
||||
string_to_spv("rope_norm_f16", "rope_norm.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_norm_f16_rte", "rope_norm.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
string_to_spv("rope_norm_f32_f16", "rope_norm.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_norm_f32_f16_rte", "rope_norm.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
string_to_spv("rope_norm_f32", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
|
||||
string_to_spv("rope_norm_f16", "rope_norm.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_norm_f16_rte", "rope_norm.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
string_to_spv("rope_norm_f32_f16", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_norm_f32_f16_rte", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
|
||||
string_to_spv("rope_neox_f32", "rope_neox.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
|
||||
string_to_spv("rope_neox_f16", "rope_neox.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_neox_f16_rte", "rope_neox.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
string_to_spv("rope_neox_f32_f16", "rope_neox.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_neox_f32_f16_rte", "rope_neox.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
string_to_spv("rope_neox_f32", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
|
||||
string_to_spv("rope_neox_f16", "rope_neox.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_neox_f16_rte", "rope_neox.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
string_to_spv("rope_neox_f32_f16", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_neox_f32_f16_rte", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
|
||||
string_to_spv("rope_multi_f32", "rope_multi.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
|
||||
string_to_spv("rope_multi_f16", "rope_multi.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_multi_f16_rte", "rope_multi.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
string_to_spv("rope_multi_f32", "rope_multi.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
|
||||
string_to_spv("rope_multi_f16", "rope_multi.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_multi_f16_rte", "rope_multi.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
|
||||
string_to_spv("rope_vision_f32", "rope_vision.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
|
||||
string_to_spv("rope_vision_f16", "rope_vision.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_vision_f16_rte", "rope_vision.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
string_to_spv("rope_vision_f32", "rope_vision.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
|
||||
string_to_spv("rope_vision_f16", "rope_vision.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
|
||||
string_to_spv("rope_vision_f16_rte", "rope_vision.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
|
||||
|
||||
string_to_spv("argsort_f32", "argsort.comp", {{"A_TYPE", "float"}});
|
||||
|
||||
|
||||
Reference in New Issue
Block a user