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
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@@ -18016,10 +18016,17 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
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case GGML_OP_CONV_2D:
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case GGML_OP_CONV_TRANSPOSE_2D:
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{
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const bool transpose = op->op == GGML_OP_CONV_TRANSPOSE_2D;
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const int64_t cout = !transpose ? op->src[0]->ne[3] : op->src[0]->ne[2];
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const int64_t cin = !transpose ? op->src[0]->ne[2] : op->src[0]->ne[3];
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// Channel-contiguous format is not supported yet.
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return ((op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) &&
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(op->src[0]->nb[0] == sizeof(float) || op->src[0]->nb[0] == sizeof(ggml_fp16_t) ) &&
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op->src[1]->type == GGML_TYPE_F32 &&
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op->type == GGML_TYPE_F32 &&
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cout == op->ne[2] &&
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cin == op->src[1]->ne[2] &&
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ggml_is_contiguous(op->src[0]) &&
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ggml_is_contiguous(op->src[1]) &&
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ggml_is_contiguous(op));
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