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运行intel-gpu-top报错： Test assertion failure funtion init_instdone_definitions, file instdone.c:591: Failed assertion: IS GEN2(devid)
fast --x-initial fast --noassert -Wall -Wno-fatal --trace --top-module top -I../rtl ../rtl/*.v sim_main.cpp %Warning-DECLFILENAME:
split()) ../bist/bist_gen_testcase.py: input_name = test_case.test_input ../bist/bist_gen_testcase.py: return gen_mod.test_input(test_case)
pooling layer top_model = base_model.output top_model = GlobalAveragePooling2D()(top_model) # or just flatten the layers # top_model =
--remove-assert --infer-rw --repl-seq-mem -c:top.TopMain:-o:build/XSTop.v.conf --gen-mem-verilog full --num-cores 1 % Total %
/paddle_cuda.dir/src/paddle_cuda_generated_hl_top_k.cu.o [ 25%] Built target gen_proto_cpp [ 27%] Building NVCC (Device) object
Tensor("strided_slice_1:0", shape=(2, 261888), dtype=float32) Tensor("top_anchors:1", shape=(2, 6000), dtype=int32) nms indices Tensor(
teacher_forcing_ratio # get the highest predicted token from our predictions top1 = output.argmax(1) # if teacher forcing, use actual next token
src/xdevice.egg-info/entry_points.txt writing top-level names to src/xdevice.egg-info/top_level.txt reading manifest file 'src/xdevice
conv2(x) x = self.relu(x) x = self.max_pool2d(x) if not self.include_top: return x x = self.flatten(x) x = self.relu(self.fc1(x)) x = self
src/xdevice.egg-info/entry_points.txt writing top-level names to src/xdevice.egg-info/top_level.txt reading manifest file 'src/xdevice
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