mtmd: add mtmd_image_tokens_get_decoder_pos() API (#21851)
* mtmd: add mtmd_image_tokens_get_decoder_pos() API * consistent naming * fix build
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+18
-13
@@ -114,6 +114,13 @@ llama_pos mtmd_helper_get_n_pos(const mtmd_input_chunks * chunks) {
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return n_pos;
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}
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void mtmd_helper_image_get_decoder_pos(const mtmd_image_tokens * chunks, mtmd_decoder_pos * out_pos) {
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size_t n_tokens = mtmd_image_tokens_get_n_tokens(chunks);
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for (size_t i = 0; i < n_tokens; i++) {
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out_pos[i] = mtmd_image_tokens_get_decoder_pos(chunks, i);
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}
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}
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// helper struct to make working with embd batch easier
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// note: this will be removed after llama_batch_ext refactoring
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struct decode_embd_batch {
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@@ -156,18 +163,15 @@ struct decode_embd_batch {
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}
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// M-RoPE for image
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void set_position_mrope_2d(llama_pos pos_0, int nx, int ny, llama_seq_id seq_id) {
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void set_position_mrope_2d(llama_pos pos_0, const std::vector<mtmd_decoder_pos> & rel_pos, llama_seq_id seq_id) {
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GGML_ASSERT(n_pos_per_embd == 4);
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GGML_ASSERT(nx > 0 && ny > 0 && nx * ny == batch.n_tokens);
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GGML_ASSERT(!rel_pos.empty() && (int32_t)rel_pos.size() == batch.n_tokens);
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seq_id_0[0] = seq_id;
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for (int y = 0; y < ny; y++) {
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for (int x = 0; x < nx; x++) {
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int i = y * nx + x;
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pos[i ] = pos_0;
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pos[i + batch.n_tokens ] = pos_0 + y;
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pos[i + batch.n_tokens * 2] = pos_0 + x;
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pos[i + batch.n_tokens * 3] = 0; // last pos dim is unused
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}
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for (int32_t i = 0; i < batch.n_tokens; i++) {
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pos[i ] = pos_0 + rel_pos[i].t;
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pos[i + batch.n_tokens ] = pos_0 + rel_pos[i].y;
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pos[i + batch.n_tokens * 2] = pos_0 + rel_pos[i].x;
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pos[i + batch.n_tokens * 3] = 0; // last pos dim is unused
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}
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for (int i = 0; i < batch.n_tokens; i++) {
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batch.n_seq_id[i] = 1;
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@@ -262,9 +266,10 @@ int32_t mtmd_helper_decode_image_chunk(
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LOG_ERR("failed to decode chunk: image tokens are null\n");
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return -1;
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}
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const int nx = mtmd_image_tokens_get_nx(image_tokens);
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const int ny = mtmd_image_tokens_get_ny(image_tokens);
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batch_embd.set_position_mrope_2d(n_past, nx, ny, seq_id);
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const auto n_tokens = mtmd_image_tokens_get_n_tokens(image_tokens);
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std::vector<mtmd_decoder_pos> rel_pos(n_tokens);
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mtmd_helper_image_get_decoder_pos(image_tokens, rel_pos.data());
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batch_embd.set_position_mrope_2d(n_past, rel_pos, seq_id);
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} else if (chunk_type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
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batch_embd.set_position_mrope_1d(n_past, seq_id);
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} else {
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