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https://github.com/ggml-org/llama.cpp.git
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cpu kernel
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@@ -1983,6 +1983,7 @@ extern "C" {
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// set the offset dims for RoPE
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// a must be GGML_OP_ROPE or GGML_OP_ROPE_BACK
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// vision RoPE is not supported
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// example: (marking: x = rotated, 0 = unrotated)
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// n_embd = 10, n_dims = 4, offset = 2 --> [00xxxx0000]
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GGML_API struct ggml_tensor * ggml_rope_set_offset(
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@@ -5979,6 +5979,8 @@ static void ggml_compute_forward_rope_flt(
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memcpy(&beta_slow, (int32_t *) dst->op_params + 10, sizeof(float));
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memcpy(§ions, (int32_t *) dst->op_params + 11, sizeof(int)*4);
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const int n_offs = ((int32_t *) dst->op_params)[15];
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GGML_TENSOR_UNARY_OP_LOCALS
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//printf("ne0: %d, ne1: %d, ne2: %d, ne3: %d\n", ne0, ne1, ne2, ne3);
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@@ -5995,6 +5997,10 @@ static void ggml_compute_forward_rope_flt(
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GGML_ASSERT(n_dims <= ne0);
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GGML_ASSERT(n_dims % 2 == 0);
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GGML_ASSERT(n_offs >= 0);
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GGML_ASSERT(n_offs % 2 == 0);
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GGML_ASSERT(n_offs + n_dims <= ne0);
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// rows per thread
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const int dr = (nr + nth - 1)/nth;
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@@ -6020,6 +6026,7 @@ static void ggml_compute_forward_rope_flt(
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if (is_vision) {
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GGML_ASSERT(n_dims == ne0/2);
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GGML_ASSERT(n_offs == 0);
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}
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const float * freq_factors = NULL;
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@@ -6068,12 +6075,12 @@ static void ggml_compute_forward_rope_flt(
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switch (mode) {
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case GGML_ROPE_TYPE_NORMAL:
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rotate_pairs<T>(n_dims, 1, cache, src, dst_data, 1);
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rotate_pairs<T>(n_dims, 1, cache, src + n_offs, dst_data + n_offs, 1);
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break;
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case GGML_ROPE_TYPE_NEOX:
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case GGML_ROPE_TYPE_MROPE:
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case GGML_ROPE_TYPE_IMROPE:
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rotate_pairs<T>(n_dims, n_dims/2, cache, src, dst_data);
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rotate_pairs<T>(n_dims, n_dims/2, cache, src + n_offs, dst_data + n_offs);
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break;
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case GGML_ROPE_TYPE_VISION:
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rotate_pairs<T>(ne0, n_dims, cache, src, dst_data);
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@@ -6084,7 +6091,11 @@ static void ggml_compute_forward_rope_flt(
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if (!is_vision) {
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// fill the remain channels with data from src tensor
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for (int64_t i0 = n_dims; i0 < ne0; i0 += 2) {
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for (int64_t i0 = 0; i0 < ne0; i0 += 2) {
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if (i0 == n_offs) {
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i0 += n_dims - 2; // skip the rotated channels
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continue;
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}
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const T * const src = (T *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
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T * dst_data = (T *)((char *) dst->data + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0);
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@@ -4429,6 +4429,11 @@ struct ggml_tensor * ggml_rope_set_offset(
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struct ggml_tensor * a,
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int n_offs) {
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GGML_ASSERT(a->op == GGML_OP_ROPE || a->op == GGML_OP_ROPE_BACK);
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GGML_ASSERT(n_offs >= 0);
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const int32_t mode = ggml_get_op_params_i32(a, 2);
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GGML_ASSERT(mode != GGML_ROPE_TYPE_VISION);
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ggml_set_op_params_i32(a, 15, n_offs);
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return a;
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}
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