hls4ml-tutorial
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Tutorial notebooks for hls4ml
Hello, I am trying to run the tutorial notebooks and on the first tutorial, the notebook gets stuck at: `hls_model.compile()` I have tried to monitor the resource usage and I...
Hello! I am not an expert, but I am trying to run a notebook inside this docker container. I have 2 issues. 1. When I run the "build" function, I...
`nn = NeuralNetworkOverlay('hls4ml_nn.bit', X_test.shape, y_test.shape)` The above function fails with the error: `--------------------------------------------------------------------------- error Traceback (most recent call last) in () ----> 1 nn = NeuralNetworkOverlay('hls4ml_nn.bit', X_test.shape, y_test.shape) /home/xilinx/jupyter_notebooks/package/axi_stream_driver.py in...
vivado
hello i'm new to using docker i'v downloaded the without vivado version and now i want access vivado in my host machine to synthesis the code !!!! is it possible...
Hi all, I'm currently facing this issue even after installing the required IP for the pynq-z2 FPGA, which is the exact setup detailed by the tutorial. My vivado version, 2020.1,...
I trained VGG16 model on CIFAR100 dataset on pytorch. When I run: ``` import hls4ml import plotting config = hls4ml.utils.config_from_pytorch_model(model, granularity='layer') print("-----------------------------------") print("Configuration") plotting.print_dict(config) print("-----------------------------------") hls_model = hls4ml.converters.convert_from_pytorch_model( model, hls_config=config,...
Hello, I found a build error in the RHEL8 environment(pull is Ok). $sudo docker build -f docker/Dockerfile.vivado -t ghcr.io/fastmachinelearning/hls4ml-tutorial/hls4ml-0.7.1-vivado-2019.2:latest . Sending build context to Docker daemon 67.18GB Error response from...
Hi all, I am wondering what the difference is between the `Resource` and the `Latency` optimization strategy. Because I think my grasp of these concepts is wrong. Initially, I thought...
**my model is:** model = Sequential() model.add(BatchNormalization(input_shape=(1408,1))) model.add(Conv1D(3, kernel_size=(100),strides=2)) model.add(Activation("relu")) model.add(MaxPooling1D(pool_size=(2),strides=2)) model.add(Conv1D(50, (10))) model.add(MaxPooling1D(pool_size=(2),strides=2)) model.add(Activation("relu")) model.add(Conv1D(30, (30))) model.add(MaxPooling1D(pool_size=(2))) model.add(Activation("relu")) model.add(BatchNormalization()) model.add(Flatten()) model.add(Dropout(0.25)) model.add(Dense(4,activation='softmax')) **and my hls4ml configuration:** config = hls4ml.utils.config_from_keras_model(model,...
When I run this code, I stuck at this code and got this kind of error. How to fix it? 