metal : add support for non-pow-2 argsort
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c704c778f6
commit
fe62909618
2 changed files with 45 additions and 20 deletions
17
ggml-metal.m
17
ggml-metal.m
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@ -2411,6 +2411,13 @@ static enum ggml_status ggml_metal_graph_compute(
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enum ggml_sort_order order = (enum ggml_sort_order) dst->op_params[0];
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// bitonic sort requires the number of elements to be power of 2
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int64_t ne00_padded = 1;
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while (ne00_padded < ne00) {
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ne00_padded *= 2;
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}
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const int mem_size = ne00_padded*sizeof(int32_t);
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id<MTLComputePipelineState> pipeline = nil;
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switch (order) {
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@ -2420,11 +2427,13 @@ static enum ggml_status ggml_metal_graph_compute(
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};
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[encoder setComputePipelineState:pipeline];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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[encoder setBuffer:id_dst offset:offs_dst atIndex:1];
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[encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:2];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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[encoder setBuffer:id_dst offset:offs_dst atIndex:1];
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[encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:2];
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[encoder setBytes:&ne00_padded length:sizeof( int64_t) atIndex:3];
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[encoder setThreadgroupMemoryLength:mem_size atIndex:0];
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[encoder dispatchThreadgroups:MTLSizeMake(1, nrows, 1) threadsPerThreadgroup:MTLSizeMake(ne00, 1, 1)];
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[encoder dispatchThreadgroups:MTLSizeMake(1, nrows, 1) threadsPerThreadgroup:MTLSizeMake(ne00_padded, 1, 1)];
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} break;
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case GGML_OP_LEAKY_RELU:
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{
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@ -13,8 +13,8 @@ using namespace metal;
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#define N_SIMDWIDTH 32 // assuming SIMD group size is 32
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enum ggml_sort_order {
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GGML_SORT_ASC,
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GGML_SORT_DESC,
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GGML_SORT_ORDER_ASC,
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GGML_SORT_ORDER_DESC,
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};
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// general-purpose kernel for addition, multiplication and division of two tensors
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@ -1973,9 +1973,11 @@ kernel void kernel_timestep_embedding_f32(
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// bitonic sort implementation following the CUDA kernels as reference
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typedef void (argsort_t)(
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device const float * x,
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device int32_t * dst,
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constant int64_t & ncols,
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device const float * x,
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device int32_t * dst,
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constant int64_t & ncols,
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constant int64_t & ncols_pad,
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threadgroup int32_t * shared_values [[threadgroup(0)]],
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uint3 tgpig[[threadgroup_position_in_grid]],
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uint3 tpitg[[thread_position_in_threadgroup]]);
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@ -1984,33 +1986,42 @@ kernel void kernel_argsort_f32_i32(
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device const float * x,
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device int32_t * dst,
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constant int64_t & ncols,
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constant int64_t & ncols_pad,
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threadgroup int32_t * shared_values [[threadgroup(0)]],
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uint3 tgpig[[threadgroup_position_in_grid]],
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uint3 tpitg[[thread_position_in_threadgroup]]) {
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// bitonic sort
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int col = tpitg[0];
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int row = tgpig[1];
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if (col >= ncols) return;
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if (col >= ncols_pad) return;
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device const float * x_row = x + row * ncols;
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device int32_t * dst_row = dst + row * ncols;
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device const float * x_row = x + row * ncols;
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threadgroup int32_t * dst_row = shared_values;
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// initialize indices
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if (col < ncols) {
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dst_row[col] = col;
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}
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dst_row[col] = col;
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threadgroup_barrier(mem_flags::mem_threadgroup);
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for (int k = 2; k <= ncols; k *= 2) {
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for (int k = 2; k <= ncols_pad; k *= 2) {
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for (int j = k / 2; j > 0; j /= 2) {
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int ixj = col ^ j;
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if (ixj > col) {
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if ((col & k) == 0) {
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if (order == GGML_SORT_ASC ? x_row[dst_row[col]] > x_row[dst_row[ixj]] : x_row[dst_row[col]] < x_row[dst_row[ixj]]) {
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if (dst_row[col] >= ncols ||
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(dst_row[ixj] < ncols && (order == GGML_SORT_ORDER_ASC ?
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x_row[dst_row[col]] > x_row[dst_row[ixj]] :
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x_row[dst_row[col]] < x_row[dst_row[ixj]]))
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) {
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SWAP(dst_row[col], dst_row[ixj]);
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}
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} else {
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if (order == GGML_SORT_ASC ? x_row[dst_row[col]] < x_row[dst_row[ixj]] : x_row[dst_row[col]] > x_row[dst_row[ixj]]) {
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if (dst_row[ixj] >= ncols ||
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(dst_row[col] < ncols && (order == GGML_SORT_ORDER_ASC ?
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x_row[dst_row[col]] < x_row[dst_row[ixj]] :
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x_row[dst_row[col]] > x_row[dst_row[ixj]]))
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) {
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SWAP(dst_row[col], dst_row[ixj]);
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}
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}
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@ -2018,10 +2029,15 @@ kernel void kernel_argsort_f32_i32(
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threadgroup_barrier(mem_flags::mem_threadgroup);
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}
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}
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// copy the result to dst without the padding
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if (col < ncols) {
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dst[row * ncols + col] = dst_row[col];
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}
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}
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template [[host_name("kernel_argsort_f32_i32_asc")]] kernel argsort_t kernel_argsort_f32_i32<GGML_SORT_ASC>;
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template [[host_name("kernel_argsort_f32_i32_desc")]] kernel argsort_t kernel_argsort_f32_i32<GGML_SORT_DESC>;
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template [[host_name("kernel_argsort_f32_i32_asc")]] kernel argsort_t kernel_argsort_f32_i32<GGML_SORT_ORDER_ASC>;
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template [[host_name("kernel_argsort_f32_i32_desc")]] kernel argsort_t kernel_argsort_f32_i32<GGML_SORT_ORDER_DESC>;
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kernel void kernel_leaky_relu_f32(
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device const float * src0,
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