Update links to finn-base repo

Signed-off-by: Remo Senekowitsch <[email protected]>

docs/finn/faq.rst

@@ -81,7 +81,7 @@ Which data layout do FINN-generated accelerators use? Big-endian? Little-endian?
     If you need to do this manually, first examine how the `FINN PYNQ Python drivers <https://github.com/Xilinx/finn-examples/blob/main/finn_examples/driver.py#L379>`_ do this – notice how the input data is
     first reshaped to create the “folded input shape” that reflects the word size of the first layer based on how much it
     was parallelized, then data packing is applied to obtain a raw byte array (with some reversals going on) that can be
-    fed directly to the hardware. Another example of this is the `npy_to_rtlsim_input <https://github.com/Xilinx/finn-base/blob/dev/src/finn/util/data_packing.py#L289>`_ function, which converts npy arrays to lists of Python arbitrary-precision integers that we feed into pyverilator for rtl simulation.
+    fed directly to the hardware. Another example of this is the `npy_to_rtlsim_input <https://github.com/Xilinx/finn/blob/dev/src/finn/util/data_packing.py#L284>`_ function, which converts npy arrays to lists of Python arbitrary-precision integers that we feed into pyverilator for rtl simulation.
 
 Why does FIFO sizing take so long for my network? Is something wrong?
     The automatic FIFO sizing in FINN can take quite long. It unfortunately doesn’t really parallelize on multiple cores since

notebooks/end2end_example/cybersecurity/3-build-accelerator-with-finn.ipynb

@@ -78,7 +78,7 @@
     "### Configuring the Board and FPGA Part <a id=\"config_fpga\"></a>\n",
     "\n",
     "* `fpga_part`: Xilinx FPGA part to be used for synthesis, can be left unspecified to be inferred from `board` below, or specified explicitly for e.g. out-of-context synthesis.\n",
-    "* `board`: target Xilinx Zynq or Alveo board for generating accelerators integrated into a shell. See the `pynq_part_map` and `alveo_part_map` dicts in [this file](https://github.com/Xilinx/finn-base/blob/dev/src/finn/util/basic.py#L41) for a list of possible boards.\n",
+    "* `board`: target Xilinx Zynq or Alveo board for generating accelerators integrated into a shell. See the `pynq_part_map` and `alveo_part_map` dicts in [this file](https://github.com/Xilinx/finn/blob/dev/src/finn/util/basic.py#L39) for a list of possible boards.\n",
     "* `shell_flow_type`: the target [shell flow type](https://finn-dev.readthedocs.io/en/latest/source_code/finn.builder.html#finn.builder.build_dataflow_config.ShellFlowType), only needed for generating full bitfiles where the FINN design is integrated into a shell (so only needed if `BITFILE` is selected) \n",
     "\n",
     "### Configuring the Performance <a id=\"config_perf\"></a>\n",