版本、预测库信息：
1）Paddle Lite 版本：branch develop
2）Host 环境：20.04.1-Ubuntu
3）运行设备环境：X86
4）预测后端信息：OpenCL Nvidia 1660 super
预测信息
1）预测 API：C++
2）预测选项信息:
./build.lite.linux.x86.gcc.opencl/lite/api/tools/benchmark/benchmark_bin --uncombined_model_dir=./models/deeplab_mobilenet_fp32_fluid/ --input_shape=1,3,1,1 --warmup=10 --repeats=20 --backend=opencl,x86 --gpu_precision=fp32
Model link
https://paddlelite-demo.bj.bcebos.com/models/deeplab_mobilenet_fp32_fluid.tar.gz
错误信息：GLOG_v=4
I0831 11:06:13.605420 16808 argmax_image_compute.cc:68] kernel_func_name_:argmax_w
I0831 11:06:13.605424 16808 cl_context.cc:38] --- to get program image/argmax_kernel.cl ---
I0831 11:06:13.605427 16808 cl_runtime.cc:156] precision_: CL_PRECISION_FP32
I0831 11:06:13.605428 16808 cl_runtime.cc:157] OpenCL build_option: -DDATAINIT=-FLT_MAX -DFLAG_TYPE4=int4 -cl-fast-relaxed-math -cl-mad-enable -DCL_DTYPE_float -DCL_DTYPE_FLOAT_FORCE
I0831 11:06:13.605482 16808 cl_runtime.cc:341] OpenCL kernel file name: image/argmax_kernel.cl
I0831 11:06:13.605484 16808 cl_runtime.cc:342] Program source size: 9922
I0831 11:06:13.605487 16808 cl_runtime.cc:323] --- begin build program from source -> image/argmax_kernel.cl -DDATAINIT=-FLT_MAX -DFLAG_TYPE4=int4 -cl-fast-relaxed-math -cl-mad-enable -DCL_DTYPE_float -DCL_DTYPE_FLOAT_FORCE ---
I0831 11:06:13.606081 16808 cl_context.cc:42] --- end get program ---
I0831 11:06:13.606088 16808 cl_context.cc:43] --- to create kernel: argmax_w ---
I0831 11:06:13.606091 16808 cl_context.cc:49] --- end create kernel ---
I0831 11:06:13.606096 16808 cl_context.cc:59] --- kernel count: 177 ---
F0831 11:06:13.606132 16808 reshape_op.cc:239] Check failed: unk_dim_idx == -1 (0 vs. -1) Only one input dimension of Attr(shape) can be unknown.
Check failure stack trace:
2条答案
按热度按时间mbjcgjjk1#
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sc4hvdpw2#
argmax 在keepdims 为false的时候，并且输入维度为类似这样（？2 ？？）一个维度有值，其他维度为？这样的时候，有bug，排期修复中