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synced 2025-04-28 14:59:43 +00:00
metal: add neg operator (llama/13029)
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@ -481,6 +481,7 @@ enum ggml_metal_kernel_type {
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GGML_METAL_KERNEL_TYPE_SQRT,
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GGML_METAL_KERNEL_TYPE_SIN,
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GGML_METAL_KERNEL_TYPE_COS,
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GGML_METAL_KERNEL_TYPE_NEG,
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GGML_METAL_KERNEL_TYPE_SUM_ROWS,
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GGML_METAL_KERNEL_TYPE_POOL_2D_AVG_F32,
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GGML_METAL_KERNEL_TYPE_POOL_2D_MAX_F32,
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@ -1159,6 +1160,7 @@ static struct ggml_backend_metal_context * ggml_metal_init(ggml_backend_dev_t de
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_SQRT, sqrt, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_SIN, sin, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_COS, cos, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_NEG, neg, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_SUM_ROWS, sum_rows, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ARGMAX, argmax, true);
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GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_POOL_2D_AVG_F32, pool_2d_avg_f32, true);
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@ -1320,6 +1322,7 @@ static bool ggml_metal_supports_op(const struct ggml_backend_metal_device_contex
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case GGML_UNARY_OP_GELU_QUICK:
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case GGML_UNARY_OP_SILU:
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case GGML_UNARY_OP_ELU:
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case GGML_UNARY_OP_NEG:
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return ggml_is_contiguous(op->src[0]) && op->src[0]->type == GGML_TYPE_F32;
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default:
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return false;
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@ -2010,6 +2013,18 @@ static void ggml_metal_encode_node(
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[encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)];
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} break;
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case GGML_UNARY_OP_NEG:
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{
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id<MTLComputePipelineState> pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_NEG].pipeline;
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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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const int64_t n = ggml_nelements(dst);
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[encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)];
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} break;
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default:
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{
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GGML_LOG_WARN("%s: node %3d, op = %8s not implemented\n", __func__, idx, ggml_op_name(dst->op));
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@ -949,6 +949,13 @@ kernel void kernel_cos(
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dst[tpig] = cos(src0[tpig]);
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}
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kernel void kernel_neg(
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device const float * src0,
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device float * dst,
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uint tpig[[thread_position_in_grid]]) {
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dst[tpig] = -src0[tpig];
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}
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kernel void kernel_sum_rows(
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device const float * src0,
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device float * dst,
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