Michael Bartling
Michael Bartling
To support multiple allocator contexts in the tensor destructor, model interface should push and pop current allocator pointers to a queue in the default current context else risks failed destruction
Right now there is no shape checking on Placeholder tensors, this means that invalid shapes will still propagate through the model and lead to weird errors.
need a smart way of getting around this.
Earlier we found that just removing std::string and using c string, we could shrink code size dramatically. Ultimately we need to roll out our own string class, here are a...
Proposed update for the Tensor read write interface: ```cpp // Currently template const T* read(size_t offset, size_t ele) { return (const T*)read(offset, ele); } ... const float input_min = in_min->read(0,...
Hey guys, this should be pretty low hanging fruit. https://www.tensorflow.org/api_docs/python/tf/negative OPNAME: "Neg"
Right now `init_env()` is platform specific. This needs to be either made into a class with empty default, or moved completely into code_gen
It would be nice to have ``` explicit Tensor( size_type count ); ``` With similar behavior to ``` explicit std::vector( size_type count ); ``` Basically, it allows you to construct...