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metal : add gqa8 kernel to allow llama-2-70B on metal (#2459)
* Added gqa8 kernel to allow llama-2-70B on metal * Update ggml-metal.m Co-authored-by: Cebtenzzre <cebtenzzre@gmail.com> * Extend kernel_mul_mat_f16_f32 to handle gqa broadcast * Added ne03==ne13 assertion --------- Co-authored-by: Cebtenzzre <cebtenzzre@gmail.com>
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ggml-metal.m
33
ggml-metal.m
@ -718,7 +718,8 @@ void ggml_metal_graph_compute(
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// TODO: needs to be updated after PR: https://github.com/ggerganov/ggml/pull/224
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// TODO: needs to be updated after PR: https://github.com/ggerganov/ggml/pull/224
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GGML_ASSERT(ne00 == ne10);
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GGML_ASSERT(ne00 == ne10);
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GGML_ASSERT(ne02 == ne12);
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// GGML_ASSERT(ne02 == ne12); // Should be checked on individual data types until broadcast is implemented everywhere
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GGML_ASSERT(ne03 == ne13);
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if (ggml_is_contiguous(src0) &&
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if (ggml_is_contiguous(src0) &&
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ggml_is_contiguous(src1) &&
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ggml_is_contiguous(src1) &&
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@ -746,11 +747,11 @@ void ggml_metal_graph_compute(
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initWithDevice:ctx->device transposeLeft:false transposeRight:true
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initWithDevice:ctx->device transposeLeft:false transposeRight:true
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resultRows:ne11 resultColumns:ne01 interiorColumns:ne00 alpha:1.0 beta:0.0];
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resultRows:ne11 resultColumns:ne01 interiorColumns:ne00 alpha:1.0 beta:0.0];
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// we need to do ne02 multiplications
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// we need to do ne12 multiplications
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// TODO: is there a way to do this in parallel - currently very slow ..
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// TODO: is there a way to do this in parallel - currently very slow ..
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// TODO: might be possible to offload part of the computation to ANE using Accelerate's CBLAS
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// TODO: might be possible to offload part of the computation to ANE using Accelerate's CBLAS
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for (int64_t i02 = 0; i02 < ne02; ++i02) {
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for (int64_t i02 = 0; i02 < ne12; ++i02) {
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size_t offs_src0_cur = offs_src0 + i02*nb02;
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size_t offs_src0_cur = offs_src0 + i02/(ne12/ne02)*nb02; // gqa not used for now
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size_t offs_src1_cur = offs_src1 + i02*nb12;
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size_t offs_src1_cur = offs_src1 + i02*nb12;
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size_t offs_dst_cur = offs_dst + i02*nb2;
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size_t offs_dst_cur = offs_dst + i02*nb2;
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@ -772,8 +773,6 @@ void ggml_metal_graph_compute(
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switch (src0t) {
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switch (src0t) {
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case GGML_TYPE_F16:
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case GGML_TYPE_F16:
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{
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{
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GGML_ASSERT(ne02 == ne12);
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nth0 = 64;
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nth0 = 64;
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nth1 = 1;
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nth1 = 1;
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[encoder setComputePipelineState:ctx->pipeline_mul_mat_f16_f32];
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[encoder setComputePipelineState:ctx->pipeline_mul_mat_f16_f32];
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@ -853,16 +852,18 @@ void ggml_metal_graph_compute(
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[encoder setBuffer:id_dst offset:offs_dst atIndex:2];
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[encoder setBuffer:id_dst offset:offs_dst atIndex:2];
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[encoder setBytes:&ne00 length:sizeof(ne00) atIndex:3];
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[encoder setBytes:&ne00 length:sizeof(ne00) atIndex:3];
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[encoder setBytes:&ne01 length:sizeof(ne01) atIndex:4];
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[encoder setBytes:&ne01 length:sizeof(ne01) atIndex:4];
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[encoder setBytes:&nb00 length:sizeof(nb00) atIndex:5];
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[encoder setBytes:&ne02 length:sizeof(ne02) atIndex:5];
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[encoder setBytes:&nb01 length:sizeof(nb01) atIndex:6];
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[encoder setBytes:&nb00 length:sizeof(nb00) atIndex:6];
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[encoder setBytes:&nb02 length:sizeof(nb02) atIndex:7];
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[encoder setBytes:&nb01 length:sizeof(nb01) atIndex:7];
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[encoder setBytes:&ne10 length:sizeof(ne10) atIndex:8];
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[encoder setBytes:&nb02 length:sizeof(nb02) atIndex:8];
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[encoder setBytes:&ne11 length:sizeof(ne11) atIndex:9];
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[encoder setBytes:&ne10 length:sizeof(ne10) atIndex:9];
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[encoder setBytes:&nb10 length:sizeof(nb10) atIndex:10];
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[encoder setBytes:&ne11 length:sizeof(ne11) atIndex:10];
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[encoder setBytes:&nb11 length:sizeof(nb11) atIndex:11];
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[encoder setBytes:&ne12 length:sizeof(ne12) atIndex:11];
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[encoder setBytes:&nb12 length:sizeof(nb12) atIndex:12];
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[encoder setBytes:&nb10 length:sizeof(nb10) atIndex:12];
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[encoder setBytes:&ne0 length:sizeof(ne0) atIndex:13];
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[encoder setBytes:&nb11 length:sizeof(nb11) atIndex:13];
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[encoder setBytes:&ne1 length:sizeof(ne1) atIndex:14];
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[encoder setBytes:&nb12 length:sizeof(nb12) atIndex:14];
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[encoder setBytes:&ne0 length:sizeof(ne0) atIndex:15];
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[encoder setBytes:&ne1 length:sizeof(ne1) atIndex:16];
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if (src0t == GGML_TYPE_Q4_0 || src0t == GGML_TYPE_Q4_1 ||
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if (src0t == GGML_TYPE_Q4_0 || src0t == GGML_TYPE_Q4_1 ||
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src0t == GGML_TYPE_Q2_K || src0t == GGML_TYPE_Q4_K) {
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src0t == GGML_TYPE_Q2_K || src0t == GGML_TYPE_Q4_K) {
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@ -509,11 +509,13 @@ kernel void kernel_mul_mat_f16_f32(
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device float * dst,
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device float * dst,
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constant int64_t & ne00,
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constant int64_t & ne00,
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constant int64_t & ne01,
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constant int64_t & ne01,
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constant int64_t & ne02,
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constant uint64_t & nb00,
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constant uint64_t & nb00,
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constant uint64_t & nb01,
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constant uint64_t & nb01,
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constant uint64_t & nb02,
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constant uint64_t & nb02,
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constant int64_t & ne10,
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constant int64_t & ne10,
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constant int64_t & ne11,
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constant int64_t & ne11,
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constant int64_t & ne12,
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constant uint64_t & nb10,
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constant uint64_t & nb10,
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constant uint64_t & nb11,
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constant uint64_t & nb11,
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constant uint64_t & nb12,
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constant uint64_t & nb12,
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@ -529,7 +531,7 @@ kernel void kernel_mul_mat_f16_f32(
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const int64_t r1 = tgpig.y;
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const int64_t r1 = tgpig.y;
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const int64_t im = tgpig.z;
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const int64_t im = tgpig.z;
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device const half * x = (device const half *) (src0 + r0*nb01 + im*nb02);
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device const half * x = (device const half *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02);
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device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12);
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device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12);
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sum[tpitg.x] = 0.0f;
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sum[tpitg.x] = 0.0f;
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@ -552,6 +554,7 @@ kernel void kernel_mul_mat_f16_f32(
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}
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}
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}
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}
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kernel void kernel_alibi_f32(
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kernel void kernel_alibi_f32(
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device const float * src0,
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device const float * src0,
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device float * dst,
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device float * dst,
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