mtmd: add clip_graph::build_mm() (#20751)
* clip: add build_mm() * apply to all models * add TODO for bias overload
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@@ -56,7 +56,7 @@ ggml_cgraph * clip_graph_conformer::build() {
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cur = ggml_reshape_2d(ctx0, cur, cur->ne[0] * cur->ne[1], cur->ne[2]);
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// calculate out
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cur = ggml_mul_mat(ctx0, model.pre_encode_out_w, cur);
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cur = build_mm(model.pre_encode_out_w, cur);
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cur = ggml_add(ctx0, cur, model.pre_encode_out_b);
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cb(cur, "conformer.pre_encode.out", -1);
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}
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@@ -87,7 +87,7 @@ ggml_cgraph * clip_graph_conformer::build() {
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cur = build_norm(residual, layer.ln_1_w, layer.ln_1_b, NORM_TYPE_NORMAL, 1e-5, il);
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cb(cur, "conformer.layers.{}.norm_self_att", il);
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ggml_tensor * Qcur = ggml_mul_mat(ctx0, layer.q_w, cur);
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ggml_tensor * Qcur = build_mm(layer.q_w, cur);
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Qcur = ggml_add(ctx0, Qcur, layer.q_b);
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Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, Qcur->ne[1]);
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ggml_tensor * Q_bias_u = ggml_add(ctx0, Qcur, layer.pos_bias_u);
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@@ -96,12 +96,12 @@ ggml_cgraph * clip_graph_conformer::build() {
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Q_bias_v = ggml_permute(ctx0, Q_bias_v, 0, 2, 1, 3);
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// TODO @ngxson : some cont can/should be removed when ggml_mul_mat support these cases
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ggml_tensor * Kcur = ggml_mul_mat(ctx0, layer.k_w, cur);
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ggml_tensor * Kcur = build_mm(layer.k_w, cur);
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Kcur = ggml_add(ctx0, Kcur, layer.k_b);
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Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, Kcur->ne[1]);
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Kcur = ggml_cont(ctx0, ggml_permute(ctx0, Kcur, 0, 2, 1, 3));
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ggml_tensor * Vcur = ggml_mul_mat(ctx0, layer.v_w, cur);
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ggml_tensor * Vcur = build_mm(layer.v_w, cur);
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Vcur = ggml_add(ctx0, Vcur, layer.v_b);
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Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, Vcur->ne[1]);
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Vcur = ggml_cont(ctx0, ggml_permute(ctx0, Vcur, 1, 2, 0, 3));
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@@ -111,7 +111,7 @@ ggml_cgraph * clip_graph_conformer::build() {
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matrix_ac = ggml_cont(ctx0, ggml_permute(ctx0, matrix_ac, 1, 0, 2, 3));
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cb(matrix_ac, "conformer.layers.{}.self_attn.id3", il);
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auto * p = ggml_mul_mat(ctx0, layer.linear_pos_w, pos_emb);
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auto * p = build_mm(layer.linear_pos_w, pos_emb);
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cb(p, "conformer.layers.{}.self_attn.linear_pos", il);
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p = ggml_reshape_3d(ctx0, p, d_head, n_head, p->ne[1]);
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p = ggml_permute(ctx0, p, 0, 2, 1, 3);
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@@ -143,7 +143,7 @@ ggml_cgraph * clip_graph_conformer::build() {
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x = ggml_permute(ctx0, x, 2, 0, 1, 3);
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x = ggml_cont_2d(ctx0, x, x->ne[0] * x->ne[1], x->ne[2]);
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ggml_tensor * out = ggml_mul_mat(ctx0, layer.o_w, x);
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ggml_tensor * out = build_mm(layer.o_w, x);
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out = ggml_add(ctx0, out, layer.o_b);
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cb(out, "conformer.layers.{}.self_attn.linear_out", il);
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@@ -157,7 +157,7 @@ ggml_cgraph * clip_graph_conformer::build() {
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// conv
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{
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auto * x = cur;
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x = ggml_mul_mat(ctx0, layer.conv_pw1_w, x);
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x = build_mm(layer.conv_pw1_w, x);
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x = ggml_add(ctx0, x, layer.conv_pw1_b);
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cb(x, "conformer.layers.{}.conv.pointwise_conv1", il);
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@@ -181,7 +181,7 @@ ggml_cgraph * clip_graph_conformer::build() {
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x = ggml_silu(ctx0, x);
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// pointwise_conv2
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x = ggml_mul_mat(ctx0, layer.conv_pw2_w, x);
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x = build_mm(layer.conv_pw2_w, x);
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x = ggml_add(ctx0, x, layer.conv_pw2_b);
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cur = x;
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