Find posterior parameters errors

**Question/Issue: When I try to find posterior parameters on the project identified below, the process never ends and I see the errors below. I’ve tried multiple times with the same result.

Any ideas?

Traceback (most recent call last):
File “/app/ra_get_posterior_imu.py”, line 143, in
_, model, _ = converter.convertKerasToSyntiant(ei_model_func, x_eval=x_eval_subset, chip=“NDP120_B0”)
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/converter.py”, line 602, in convertKerasToSyntiant
syntiant_package, _ = converter_utils.create_syntiant_package(
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/utils/converter_utils.py”, line 374, in create_syntiant_package
networks, metadata_json, power_profile = allocator_utils.allocate_sc2_networks(
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/model_allocation/model_allocator.py”, line 686, in allocate_sc2_networks
layers_added += nn.build(
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/model_allocation/architectures/syntiant_neural_network.py”, line 356, in build
priority += layer.build(priority, resource_allocator, cache_mode)
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/model_allocation/core2_layers/base_dnn.py”, line 711, in build
self.allocate_paramem(resource_allocator)
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/model_allocation/core2_layers/base_dnn.py”, line 1156, in allocate_paramem
self.allocate_kernel_parameters(resource_allocator)
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/model_allocation/core2_layers/base_dnn.py”, line 1177, in allocate_kernel_parameters
self.weight_adx = resource_allocator.allocate_param(size)
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/model_allocation/resources/resource_allocator.py”, line 70, in allocate_param
adx = self._param_mem.malloc(size, reclaimable=False)
File “/app/syntiant-ndp-model-converter/source/syntiant-model-converter/syntiant_model_converter/model_allocation/resources/memory_bank.py”, line 149, in malloc
raise ValueError(“Out of memory, asked: {}”.format(hex(size)))
ValueError: Out of memory, asked: 0x10000
Attached to job 16678894…
Attached to job 16678894…
Attached to job 16678894…
Attached to job 16678894…
Attached to job 16678894…
Attached to job 16678894…
Attached to job 16678894…
Attached to job 16678894…

**Project ID: 359241

Context/Use case:

Hi @Brian_Willess_avnet

For the Syntiant TinyML board you need to uncheck this:

Hope this resolves your issue if not let me know and we can review the firmware settings.

Best

Eoin