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https://github.com/ggml-org/llama.cpp.git
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ggml: move op parameters from tensors to ggml_tensor::op_params (#2333)
* ggml: move op parameters from tensors to ggml_tensor::op_params * alibi: use memcpy for float params * remove `src[1] = NULL` in ops
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20
ggml-metal.m
20
ggml-metal.m
@@ -585,7 +585,7 @@ void ggml_metal_graph_compute(
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encoder = [command_buffer computeCommandEncoder];
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}
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const int n_past = ((int32_t *)(src1->data))[0];
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const int n_past = ((int32_t *)(dst->op_params))[0];
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[encoder setComputePipelineState:ctx->pipeline_diag_mask_inf];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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@@ -850,9 +850,10 @@ void ggml_metal_graph_compute(
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GGML_ASSERT((src0t == GGML_TYPE_F32));
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const int n_past = ((int32_t *) src1->data)[0]; UNUSED(n_past);
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const int n_head = ((int32_t *) src1->data)[1];
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const float max_bias = ((float *) src1->data)[2];
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const int n_past = ((int32_t *) dst->op_params)[0]; UNUSED(n_past);
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const int n_head = ((int32_t *) dst->op_params)[1];
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float max_bias;
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memcpy(&max_bias, (int32_t *) dst->op_params + 2, sizeof(float));
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if (__builtin_popcount(n_head) != 1) {
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GGML_ASSERT(false && "only power-of-two n_head implemented");
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@@ -890,15 +891,14 @@ void ggml_metal_graph_compute(
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encoder = [command_buffer computeCommandEncoder];
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}
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const int n_dims = ((int32_t *) src1->data)[1];
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const int mode = ((int32_t *) src1->data)[2];
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const int n_past = ((int32_t *)(src1->data))[0];
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const int n_past = ((int32_t *) dst->op_params)[0];
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const int n_dims = ((int32_t *) dst->op_params)[1];
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const int mode = ((int32_t *) dst->op_params)[2];
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float freq_base;
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float freq_scale;
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memcpy(&freq_base, (int32_t *) src1->data + 4, sizeof(float));
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memcpy(&freq_scale, (int32_t *) src1->data + 5, sizeof(float));
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memcpy(&freq_base, (int32_t *) dst->op_params + 4, sizeof(float));
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memcpy(&freq_scale, (int32_t *) dst->op_params + 5, sizeof(float));
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[encoder setComputePipelineState:ctx->pipeline_rope];
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[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
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