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https://github.com/ggerganov/llama.cpp.git
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metal : specialize for head size
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52ae085750
commit
b97325800a
23
ggml-metal.m
23
ggml-metal.m
@ -147,7 +147,9 @@ enum ggml_metal_kernel_type {
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GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_ASC,
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GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_ASC,
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GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_DESC,
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GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_DESC,
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GGML_METAL_KERNEL_TYPE_LEAKY_RELU_F32,
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GGML_METAL_KERNEL_TYPE_LEAKY_RELU_F32,
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GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16,
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GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H64,
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GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H80,
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GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H128,
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GGML_METAL_KERNEL_TYPE_CPY_F32_F16,
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GGML_METAL_KERNEL_TYPE_CPY_F32_F16,
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GGML_METAL_KERNEL_TYPE_CPY_F32_F32,
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GGML_METAL_KERNEL_TYPE_CPY_F32_F32,
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GGML_METAL_KERNEL_TYPE_CPY_F32_Q8_0,
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GGML_METAL_KERNEL_TYPE_CPY_F32_Q8_0,
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@ -518,7 +520,9 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_ASC, argsort_f32_i32_asc, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_ASC, argsort_f32_i32_asc, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_DESC, argsort_f32_i32_desc, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ARGSORT_F32_I32_DESC, argsort_f32_i32_desc, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_LEAKY_RELU_F32, leaky_relu_f32, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_LEAKY_RELU_F32, leaky_relu_f32, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16, flash_attn_ext_f16, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H64, flash_attn_ext_f16_h64, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H80, flash_attn_ext_f16_h80, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H128, flash_attn_ext_f16_h128, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_F16, cpy_f32_f16, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_F16, cpy_f32_f16, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_F32, cpy_f32_f32, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_F32, cpy_f32_f32, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_Q8_0, cpy_f32_q8_0, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_CPY_F32_Q8_0, cpy_f32_q8_0, true);
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@ -2172,6 +2176,7 @@ static bool ggml_metal_graph_compute(
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} break;
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} break;
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case GGML_OP_FLASH_ATTN_EXT:
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case GGML_OP_FLASH_ATTN_EXT:
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{
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{
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GGML_ASSERT(ne00 % 4 == 0);
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GGML_ASSERT(src0->type == GGML_TYPE_F16);
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GGML_ASSERT(src0->type == GGML_TYPE_F16);
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struct ggml_tensor * src2 = gf->nodes[i]->src[2];
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struct ggml_tensor * src2 = gf->nodes[i]->src[2];
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@ -2202,7 +2207,19 @@ static bool ggml_metal_graph_compute(
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float scale;
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float scale;
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memcpy(&scale, dst->op_params, sizeof(float));
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memcpy(&scale, dst->op_params, sizeof(float));
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16].pipeline;
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id<MTLComputePipelineState> pipeline = nil;
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switch (ne00) {
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case 64: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H64 ].pipeline; break;
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case 80: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H80 ].pipeline; break;
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case 128: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_FLASH_ATTN_EXT_F16_H128].pipeline; break;
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default:
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{
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GGML_METAL_LOG_ERROR("unsupported size: %lld\n", ne00);
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GGML_METAL_LOG_ERROR("add template specialization for this size\n");
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GGML_ASSERT(false && "add template specialization for this size");
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}
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}
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// TODO: extend if necessary
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// TODO: extend if necessary
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[encoder setComputePipelineState:pipeline];
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[encoder setComputePipelineState:pipeline];
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@ -1959,6 +1959,43 @@ kernel void kernel_leaky_relu_f32(
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dst[tpig] = src0[tpig] > 0.0f ? src0[tpig] : src0[tpig] * slope;
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dst[tpig] = src0[tpig] > 0.0f ? src0[tpig] : src0[tpig] * slope;
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}
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}
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typedef void (flash_attn_ext_f16_t)(
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device const char * q,
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device const char * k,
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device const char * v,
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device const char * mask,
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device float * dst,
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constant int64_t & ne00,
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constant int64_t & ne01,
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constant int64_t & ne02,
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constant int64_t & ne03,
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constant uint64_t & nb00,
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constant uint64_t & nb01,
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constant uint64_t & nb02,
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constant uint64_t & nb03,
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constant int64_t & ne10,
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constant int64_t & ne11,
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constant int64_t & ne12,
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constant int64_t & ne13,
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constant uint64_t & nb10,
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constant uint64_t & nb11,
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constant uint64_t & nb12,
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constant uint64_t & nb13,
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constant int64_t & ne31,
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constant uint64_t & nb31,
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constant int64_t & ne0,
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constant int64_t & ne1,
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constant int64_t & ne2,
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constant int64_t & ne3,
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constant float & scale,
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threadgroup half * shared,
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uint3 tgpig[[threadgroup_position_in_grid]],
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uint3 tpitg[[thread_position_in_threadgroup]],
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uint3 ntg[[threads_per_threadgroup]],
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uint tiisg[[thread_index_in_simdgroup]],
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uint sgitg[[simdgroup_index_in_threadgroup]]);
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template<int64_t D> // head size
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kernel void kernel_flash_attn_ext_f16(
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kernel void kernel_flash_attn_ext_f16(
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device const char * q,
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device const char * q,
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device const char * k,
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device const char * k,
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@ -2002,7 +2039,6 @@ kernel void kernel_flash_attn_ext_f16(
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return;
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return;
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}
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}
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const int64_t D = ne00;
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const int64_t D4 = D/4;
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const int64_t D4 = D/4;
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// TODO: can we move this to the stack?
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// TODO: can we move this to the stack?
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@ -2097,6 +2133,10 @@ kernel void kernel_flash_attn_ext_f16(
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}
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}
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}
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}
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template [[host_name("kernel_flash_attn_ext_f16_h64" )]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_f16<64>;
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template [[host_name("kernel_flash_attn_ext_f16_h80" )]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_f16<80>;
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template [[host_name("kernel_flash_attn_ext_f16_h128")]] kernel flash_attn_ext_f16_t kernel_flash_attn_ext_f16<128>;
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kernel void kernel_cpy_f16_f16(
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kernel void kernel_cpy_f16_f16(
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device const half * src0,
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device const half * src0,
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device half * dst,
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device half * dst,
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