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ggml : add ggml_set_rows (#14274)
* ggml : add ggml_set_rows Add ggml_set_rows(a, b, c) which copies rows from 'b' into 'a' using indices from 'c'. ref: #8366 * use I64 for indices * ggml : add repeat impl for i64 * ggml : add ggml_is_contiguous_rows * ggml : ggml_set_rows support broadcast * ggml : ggml_set_rows support quantized dst ggml-ci * ggml : support GGML_TYPE_F32 ".from_float" trait * ggml : ggml_set_rows update comment + better index name * tests : add ggml_set_rows * metal : add ggml_set_rows implementation ggml-ci * ggml : simplify forward_dup_f32 * ggml : fix supports_op * tests : add comment to set_rows * ggml : leave the repeat_i64 for a separate PR ggml-ci * ggml : set_rows use std::min instead of MIN * ggml : better error message for set_rows unsupported type * metal : perform op->type check only once * tests : more consistent implementation + more tests ggml-ci --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@@ -470,6 +470,7 @@ extern "C" {
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GGML_OP_TRANSPOSE,
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GGML_OP_GET_ROWS,
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GGML_OP_GET_ROWS_BACK,
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GGML_OP_SET_ROWS,
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GGML_OP_DIAG,
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GGML_OP_DIAG_MASK_INF,
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GGML_OP_DIAG_MASK_ZERO,
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@@ -687,6 +688,9 @@ extern "C" {
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// true for tensor that is stored in memory as CxWxHxN and has been permuted to WxHxCxN
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GGML_API bool ggml_is_contiguous_channels(const struct ggml_tensor * tensor);
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// true if the elements in dimension 0 are contiguous, or there is just 1 block of elements
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GGML_API bool ggml_is_contiguous_rows(const struct ggml_tensor * tensor);
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GGML_API bool ggml_are_same_shape (const struct ggml_tensor * t0, const struct ggml_tensor * t1);
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GGML_API bool ggml_are_same_stride(const struct ggml_tensor * t0, const struct ggml_tensor * t1);
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@@ -1375,6 +1379,23 @@ extern "C" {
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struct ggml_tensor * b, // row indices
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struct ggml_tensor * c); // data for ggml_get_rows, only used for its shape
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// a TD [n_embd, ne1, ne2, ne3]
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// b TS [n_embd, n_rows, ne02, ne03] | ne02 == ne2, ne03 == ne3
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// c I64 [n_rows, ne11, ne12, 1] | c[i] in [0, ne1)
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//
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// undefined behavior if destination rows overlap
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//
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// broadcast:
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// ne2 % ne11 == 0
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// ne3 % ne12 == 0
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//
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// return view(a)
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GGML_API struct ggml_tensor * ggml_set_rows(
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struct ggml_context * ctx,
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struct ggml_tensor * a, // destination
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struct ggml_tensor * b, // source
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struct ggml_tensor * c); // row indices
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GGML_API struct ggml_tensor * ggml_diag(
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struct ggml_context * ctx,
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struct ggml_tensor * a);
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