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I am trying to implement an application with GGML library on x86_64 architecture. I have built the "default" variant which will utilize GNU libraries for low level math functions.
But when I wanted to use "BLAS" as a backend library, I can see in the source code that it supports only a few operations, even for a basic operation like "MUL", I am seeing the following error
ggml-blas.cpp:250: ggml_backend_blas_graph_compute: unsupported op MUL
@ggerganov, does it mean that I can't use BLAS as a backend library or can you please confirm if there is a way to overcome these issues?
The text was updated successfully, but these errors were encountered:
You need to use both the CPU and BLAS backends and a ggml_backend_sched to distribute the operations to the correct backends based on what they support. See the gpt-2, main-sched.cpp example and start from there.
I am trying to implement an application with GGML library on x86_64 architecture. I have built the "default" variant which will utilize GNU libraries for low level math functions.
But when I wanted to use "BLAS" as a backend library, I can see in the source code that it supports only a few operations, even for a basic operation like "MUL", I am seeing the following error
ggml-blas.cpp:250: ggml_backend_blas_graph_compute: unsupported op MUL
@ggerganov, does it mean that I can't use BLAS as a backend library or can you please confirm if there is a way to overcome these issues?
The text was updated successfully, but these errors were encountered: