cuda : fix bin bcast with non-cont src0
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2 changed files with 47 additions and 17 deletions
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@ -22,6 +22,7 @@ static __global__ void k_bin_bcast(const src0_t * src0, const src1_t * src1, dst
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int ne0, int ne1, int ne2, int ne3,
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int ne10, int ne11, int ne12, int ne13,
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/*int s0, */ int s1, int s2, int s3,
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/*int s01,*/ int s01, int s02, int s03,
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/*int s10,*/ int s11, int s12, int s13) {
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const int i0s = blockDim.x*blockIdx.x + threadIdx.x;
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const int i1 = (blockDim.y*blockIdx.y + threadIdx.y);
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@ -36,9 +37,9 @@ static __global__ void k_bin_bcast(const src0_t * src0, const src1_t * src1, dst
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const int i12 = i2 % ne12;
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const int i13 = i3 % ne13;
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const size_t i_src0 = i3*s3 + i2*s2 + i1*s1;
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const size_t i_src0 = i3*s03 + i2*s02 + i1*s01;
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const size_t i_src1 = i13*s13 + i12*s12 + i11*s11;
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const size_t i_dst = i_src0;
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const size_t i_dst = i3*s3 + i2*s2 + i1*s1;
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const src0_t * src0_row = src0 + i_src0;
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const src1_t * src1_row = src1 + i_src1;
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@ -55,6 +56,7 @@ static __global__ void k_bin_bcast_unravel(const src0_t * src0, const src1_t * s
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int ne0, int ne1, int ne2, int ne3,
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int ne10, int ne11, int ne12, int ne13,
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/*int s0, */ int s1, int s2, int s3,
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/*int s01,*/ int s01, int s02, int s03,
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/*int s10,*/ int s11, int s12, int s13) {
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const int i = blockDim.x*blockIdx.x + threadIdx.x;
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@ -72,9 +74,9 @@ static __global__ void k_bin_bcast_unravel(const src0_t * src0, const src1_t * s
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const int i12 = i2 % ne12;
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const int i13 = i3 % ne13;
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const size_t i_src0 = i3*s3 + i2*s2 + i1*s1;
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const size_t i_src0 = i3*s03 + i2*s02 + i1*s01;
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const size_t i_src1 = i13*s13 + i12*s12 + i11*s11;
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const size_t i_dst = i_src0;
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const size_t i_dst = i3*s3 + i2*s2 + i1*s1;
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const src0_t * src0_row = src0 + i_src0;
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const src1_t * src1_row = src1 + i_src1;
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@ -118,17 +120,20 @@ struct bin_bcast_cuda {
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cnb[3] *= cne[3];
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};
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for (int i = 0; i < 4; i++) {
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if (nr[i] != 1) {
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break;
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}
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if (i > 0) {
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collapse_nb(cnb0, cne0);
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collapse_nb(cnb1, cne1);
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collapse(cne0);
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collapse(cne1);
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if (ggml_is_contiguous(src0) && ggml_is_contiguous(src1) && ggml_is_contiguous(dst)) {
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for (int i = 0; i < 4; i++) {
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if (nr[i] != 1) {
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break;
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}
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if (i > 0) {
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collapse_nb(cnb0, cne0);
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collapse_nb(cnb1, cne1);
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collapse(cne0);
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collapse(cne1);
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}
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}
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}
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{
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int64_t ne0 = cne0[0];
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int64_t ne1 = cne0[1];
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@ -160,7 +165,28 @@ struct bin_bcast_cuda {
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size_t s12 = nb12 / sizeof(src1_t);
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size_t s13 = nb13 / sizeof(src1_t);
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size_t s00 = nb00 / sizeof(src0_t);
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size_t s01 = nb01 / sizeof(src0_t);
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size_t s02 = nb02 / sizeof(src0_t);
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size_t s03 = nb03 / sizeof(src0_t);
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GGML_ASSERT(nb0 % sizeof(dst_t) == 0);
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GGML_ASSERT(nb1 % sizeof(dst_t) == 0);
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GGML_ASSERT(nb2 % sizeof(dst_t) == 0);
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GGML_ASSERT(nb3 % sizeof(dst_t) == 0);
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GGML_ASSERT(nb00 % sizeof(src0_t) == 0);
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GGML_ASSERT(nb01 % sizeof(src0_t) == 0);
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GGML_ASSERT(nb02 % sizeof(src0_t) == 0);
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GGML_ASSERT(nb03 % sizeof(src0_t) == 0);
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GGML_ASSERT(nb10 % sizeof(src1_t) == 0);
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GGML_ASSERT(nb11 % sizeof(src1_t) == 0);
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GGML_ASSERT(nb12 % sizeof(src1_t) == 0);
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GGML_ASSERT(nb13 % sizeof(src1_t) == 0);
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GGML_ASSERT(s0 == 1);
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GGML_ASSERT(s00 == 1);
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GGML_ASSERT(s10 == 1);
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const int block_size = 128;
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@ -179,13 +205,14 @@ struct bin_bcast_cuda {
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);
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if (block_nums.z > 65535) {
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// this is the maximum number of blocks in z direction, fallback to 1D grid kernel
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// this is the maximum number of blocks in z dimension, fallback to 1D grid kernel
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int block_num = (ne0*ne1*ne2*ne3 + block_size - 1) / block_size;
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k_bin_bcast_unravel<bin_op><<<block_num, block_size, 0, stream>>>(
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src0_dd, src1_dd, dst_dd,
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ne0, ne1, ne2, ne3,
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ne10, ne11, ne12, ne13,
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/* s0, */ s1, s2, s3,
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/* s00, */ s01, s02, s03,
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/* s10, */ s11, s12, s13);
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} else {
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k_bin_bcast<bin_op><<<block_nums, block_dims, 0, stream>>>(
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@ -193,6 +220,7 @@ struct bin_bcast_cuda {
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ne0, ne1, ne2, ne3,
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ne10, ne11, ne12, ne13,
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/* s0, */ s1, s2, s3,
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/* s00, */ s01, s02, s03,
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/* s10, */ s11, s12, s13);
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}
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}
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@ -6171,9 +6171,6 @@ static struct ggml_tensor * llm_build_moe_ffn(
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ggml_tensor * cur_expert = ggml_view_2d(ctx, experts, n_embd, n_tokens,
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experts->nb[2], i*experts->nb[1]);
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// FIXME: non-contiguous add broken in cuda
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cur_expert = ggml_cont(ctx, cur_expert);
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if (i == 0) {
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moe_out = cur_expert;
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} else {
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@ -6181,6 +6178,11 @@ static struct ggml_tensor * llm_build_moe_ffn(
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}
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}
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if (n_expert_used == 1) {
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// avoid returning a non-contiguous tensor
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moe_out = ggml_cont(ctx, moe_out);
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}
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return moe_out;
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}
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