ggml : fix conv_transpose_2d for multiple batches (#26132)

* ggml : fix conv_transpose_2d for multiple batches

ggml_compute_forward_conv_transpose_2d_impl only computed the first
batch (ne[3] of the destination); every batch after the first was left
as zero. Both the src1 permutation and the main compute loop now iterate
over the batch dimension, and the work buffer size in ggml_graph_plan is
scaled by the src1 batch count so the extra permuted batches fit. A
multi-batch test case is added to test-backend-ops.

Fixes ggml-org/ggml#1448

* metal : fix conv_transpose_2d for multiple batches

The kernel only computed batch 0 of the input (src1->ne[3]); every
output batch after the first was left as zero, so multi-batch
conv_transpose_2d results diverged from the CPU reference.

The grid now covers all batches (OW x OH x OC x N), the kernel decodes
the batch from the grid z coordinate and offsets both the input and
destination indices accordingly. nb3 is passed in the kernel args.

Assisted-by: pi:llama.cpp/Qwen3.8-27B

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Tekin Ertekin
2026-08-28 20:09:08 +03:00
committed by GitHub
co-authored by Georgi Gerganov
parent 90c26fcd4b
commit a43c3986b4
6 changed files with 43 additions and 31 deletions
+1
View File
@@ -8785,6 +8785,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
test_cases.emplace_back(new test_conv_transpose_2d({3, 2, 3, 1}, {2, 2, 1, 3}, 1, kernel_type));
test_cases.emplace_back(new test_conv_transpose_2d({10, 10, 9, 1}, {3, 3, 1, 9}, 2, kernel_type));
test_cases.emplace_back(new test_conv_transpose_2d({129, 63, 35, 1}, {3, 3, 48, 35}, 1, kernel_type));
test_cases.emplace_back(new test_conv_transpose_2d({10, 10, 9, 2}, {3, 3, 1, 9}, 2, kernel_type)); // for multiple batches
}
test_cases.emplace_back(new test_count_equal(GGML_TYPE_F32, {4, 500, 1, 1}));