Test support for alternative conv layout (#25617)

* add  bool cwhn = true to conv_2d test cases

* add layout check at graph building time

* extend layout checks for conv2d.cu kernel

* in CPU back-end kernel needs to be stored contiguously to prevent test failures with cwhn=1

* trim white space

* do op support check in vulkan backend

* fix CI failure and vulkan run-time assert failure by introducing new graph build-time check in ggml_backend_vk_device_supports_op

* add additional check in support_op function for Vulkan to fix run-time assert failure
This commit is contained in:
pmaybank
2026-07-31 01:14:16 +08:00
committed by GitHub
parent 432d7ffe2c
commit 958d9c0b61
5 changed files with 26 additions and 5 deletions
+7
View File
@@ -18016,10 +18016,17 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
case GGML_OP_CONV_2D:
case GGML_OP_CONV_TRANSPOSE_2D:
{
const bool transpose = op->op == GGML_OP_CONV_TRANSPOSE_2D;
const int64_t cout = !transpose ? op->src[0]->ne[3] : op->src[0]->ne[2];
const int64_t cin = !transpose ? op->src[0]->ne[2] : op->src[0]->ne[3];
// Channel-contiguous format is not supported yet.
return ((op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) &&
(op->src[0]->nb[0] == sizeof(float) || op->src[0]->nb[0] == sizeof(ggml_fp16_t) ) &&
op->src[1]->type == GGML_TYPE_F32 &&
op->type == GGML_TYPE_F32 &&
cout == op->ne[2] &&
cin == op->src[1]->ne[2] &&
ggml_is_contiguous(op->src[0]) &&
ggml_is_contiguous(op->src[1]) &&
ggml_is_contiguous(op));