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https://github.com/ggerganov/llama.cpp.git
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squash! ggml : move rope type enum to ggml.h
This commit removes the enum ggml_rope_type from ggml.h and replaces it with a define (GGML_ROPE_TYPE_NEOX). This define is used in the code to check if the mode is set to GPT-NeoX. Also the enum llama_rope_type has been updated to reflect this change.
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@ -244,6 +244,8 @@
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#define GGML_EXIT_SUCCESS 0
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#define GGML_EXIT_ABORTED 1
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#define GGML_ROPE_TYPE_NEOX 2
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#define GGUF_MAGIC "GGUF"
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#define GGUF_VERSION 3
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@ -437,12 +439,6 @@ extern "C" {
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GGML_FTYPE_MOSTLY_Q4_0_8_8 = 27, // except 1d tensors
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};
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// Rotary Positional Embedding (RoPE) types
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enum ggml_rope_type {
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GGML_ROPE_TYPE_NORM = 0,
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GGML_ROPE_TYPE_NEOX = 2,
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};
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// available tensor operations:
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enum ggml_op {
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GGML_OP_NONE = 0,
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@ -1460,7 +1456,7 @@ extern "C" {
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// rotary position embedding
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// if mode & 1 == 1, skip n_past elements (NOT SUPPORTED)
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// if mode & 2 == 1, GPT-NeoX style
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// if mode & GGML_ROPE_TYPE_NEOX == 1, GPT-NeoX style
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//
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// b is an int32 vector with size a->ne[2], it contains the positions
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GGML_API struct ggml_tensor * ggml_rope(
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@ -2881,7 +2881,7 @@ void ggml_cann_rope(ggml_backend_cann_context& ctx, ggml_tensor* dst) {
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ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast,
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beta_slow, corr_dims);
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const bool is_neox = mode & 2;
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const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
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// init cos/sin cache
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ggml_cann_pool_alloc sin_allocator(
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@ -226,7 +226,7 @@ void ggml_cuda_op_rope(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
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memcpy(&beta_fast, (int32_t *) dst->op_params + 9, sizeof(float));
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memcpy(&beta_slow, (int32_t *) dst->op_params + 10, sizeof(float));
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const bool is_neox = mode & 2;
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const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
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const int32_t * pos = (const int32_t *) src1_d;
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@ -2313,7 +2313,7 @@ static enum ggml_status ggml_metal_graph_compute(
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memcpy(&beta_fast, (int32_t *) dst->op_params + 9, sizeof(float));
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memcpy(&beta_slow, (int32_t *) dst->op_params + 10, sizeof(float));
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const bool is_neox = mode & 2;
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const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
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id<MTLComputePipelineState> pipeline = nil;
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@ -226,7 +226,7 @@ void ggml_sycl_op_rope(
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memcpy(&beta_fast, (int32_t *) dst->op_params + 9, sizeof(float));
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memcpy(&beta_slow, (int32_t *) dst->op_params + 10, sizeof(float));
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const bool is_neox = mode & 2;
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const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
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const int32_t * pos = (const int32_t *) src1_dd;
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@ -4050,7 +4050,7 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
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case GGML_OP_ROPE:
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{
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const int mode = ((const int32_t *) dst->op_params)[2];
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const bool is_neox = mode & 2;
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const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
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if (is_neox) {
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if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
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@ -11,7 +11,7 @@ void main() {
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const uint i2 = gl_WorkGroupID.y;
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const uint i1 = gl_WorkGroupID.x;
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const bool is_neox = (pcs.mode & 2) != 0;
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const bool is_neox = (pcs.mode & GGML_ROPE_TYPE_NEOX) != 0;
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float corr_dims[2];
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rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
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@ -11,7 +11,7 @@ void main() {
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const uint i2 = gl_WorkGroupID.y;
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const uint i1 = gl_WorkGroupID.x;
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const bool is_neox = (pcs.mode & 2) != 0;
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const bool is_neox = (pcs.mode & GGML_ROPE_TYPE_NEOX) != 0;
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float corr_dims[2];
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rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
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@ -97,7 +97,7 @@ extern "C" {
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enum llama_rope_type {
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LLAMA_ROPE_TYPE_NONE = -1,
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LLAMA_ROPE_TYPE_NORM = GGML_ROPE_TYPE_NORM,
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LLAMA_ROPE_TYPE_NORM = 0,
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LLAMA_ROPE_TYPE_NEOX = GGML_ROPE_TYPE_NEOX,
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};
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