vulkan: Reduce temporary memory usage for TOP_K (#17623)
- Compute row size for the temp buffer based on the output of the first pass. - Update shader addressing math to use the output row size - Pass the output row size as "ncols_output", what used to be "ncols_output" is now "k" For the common case of K=40 and src0=(200000,1,1,1), this reduces the temporary buffer from about 3.2MB to 500KB.
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@@ -19,6 +19,7 @@ layout (push_constant) uniform parameter {
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uint orig_ncols;
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uint ncols_input;
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uint ncols_output;
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uint k;
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uint nrows;
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uint first_pass;
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uint last_pass;
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@@ -36,7 +37,7 @@ void topk(bool needs_bounds_check, const uint row) {
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const uint row_offset = row * p.ncols_input;
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dst_row[col] = ivec2(gl_GlobalInvocationID.x, floatBitsToInt(data_a[row_offset + gl_GlobalInvocationID.x]));
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} else {
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const uint row_offset = row * p.orig_ncols;
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const uint row_offset = row * p.ncols_input;
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dst_row[col] = data_s[row_offset + gl_GlobalInvocationID.x];
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}
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} else {
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@@ -44,7 +45,7 @@ void topk(bool needs_bounds_check, const uint row) {
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}
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barrier();
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if (p.ncols_output == 1) {
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if (p.k == 1) {
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// Fast path for single output - just do a max reduction
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[[unroll]] for (int s = BLOCK_SIZE / 2; s >= 1; s /= 2) {
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if (col < s) {
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@@ -84,13 +85,17 @@ void topk(bool needs_bounds_check, const uint row) {
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}
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}
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if (col < p.ncols_output && gl_GlobalInvocationID.x < p.orig_ncols) {
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if (col < p.k) {
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if (p.last_pass != 0) {
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const uint row_offset = row * p.ncols_output;
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data_d[row_offset + col] = dst_row[col].x;
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if (gl_GlobalInvocationID.x < p.ncols_input) {
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const uint row_offset = row * p.k;
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data_d[row_offset + col] = dst_row[col].x;
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}
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} else {
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const uint row_offset = row * p.orig_ncols + gl_WorkGroupID.x * p.ncols_output;
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data_t[row_offset + col] = dst_row[col];
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if (gl_WorkGroupID.x * p.k + col < p.ncols_output) {
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const uint row_offset = row * p.ncols_output + gl_WorkGroupID.x * p.k;
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data_t[row_offset + col] = dst_row[col];
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}
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}
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}
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}
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@@ -25,6 +25,7 @@ layout (push_constant) uniform parameter {
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uint orig_ncols;
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uint ncols_input;
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uint ncols_output;
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uint k;
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uint nrows;
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uint first_pass;
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uint last_pass;
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@@ -60,7 +61,7 @@ void topk(const uint row) {
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const uint row_offset = row * p.ncols_input;
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dst_row[tid] = ivec2(gl_GlobalInvocationID.x, floatBitsToInt(data_a[row_offset + gl_GlobalInvocationID.x]));
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} else {
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const uint row_offset = row * p.orig_ncols;
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const uint row_offset = row * p.ncols_input;
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dst_row[tid] = data_s[row_offset + gl_GlobalInvocationID.x];
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}
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} else {
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@@ -68,7 +69,7 @@ void topk(const uint row) {
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}
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barrier();
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if (p.ncols_output == 1) {
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if (p.k == 1) {
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// Fast path for single output - just do a max reduction
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[[unroll]] for (int s = BLOCK_SIZE / 2; s >= 1; s /= 2) {
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if (tid < s) {
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@@ -98,7 +99,7 @@ void topk(const uint row) {
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uint range_max = 0xFF800000;
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// How many are above the current range, and how many we need to find.
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uint total = 0;
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uint limit = min(p.ncols_output, p.ncols_input - gl_WorkGroupID.x * BLOCK_SIZE);
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uint limit = min(p.k, p.ncols_input - gl_WorkGroupID.x * BLOCK_SIZE);
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while (mask != 0) {
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barrier();
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@@ -139,7 +140,7 @@ void topk(const uint row) {
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range_max = range_min + ((min_idx + 1) << shift);
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range_min = range_min + (min_idx << shift);
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if (total == p.ncols_output) {
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if (total == p.k) {
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break;
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}
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total -= counts[min_idx];
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@@ -179,13 +180,17 @@ void topk(const uint row) {
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barrier();
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}
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if (tid < p.ncols_output && gl_GlobalInvocationID.x < p.orig_ncols) {
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if (tid < p.k) {
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if (p.last_pass != 0) {
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const uint row_offset = row * p.ncols_output;
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data_d[row_offset + tid] = dst_row[tid].x;
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if (gl_GlobalInvocationID.x < p.ncols_input) {
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const uint row_offset = row * p.k;
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data_d[row_offset + tid] = dst_row[tid].x;
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}
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} else {
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const uint row_offset = row * p.orig_ncols + gl_WorkGroupID.x * p.ncols_output;
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data_t[row_offset + tid] = dst_row[tid];
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if (gl_WorkGroupID.x * p.k + tid < p.ncols_output) {
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const uint row_offset = row * p.ncols_output + gl_WorkGroupID.x * p.k;
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data_t[row_offset + tid] = dst_row[tid];
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}
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}
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}
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}
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