Arraymancer
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mratsim
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Currently, no supported OS ships with 0.20 and this message is redundant Users are advised to use choosenim in the first place
This is based on #564. I'll rebase it onto master once that is merged. It's just a few small fixes to the k-d tree module. The `TensorHelper` hacky type is...
Pheew, this was some tedious work. I added the `styles:usages` flag to arraymancer's `nim.cfg` and then went for a hunt for variables / procs etc. that violated our rules of...
Attempt to also test ORC in the CI as well as Nim devel. I run the tests for ORC in release mode to not slow down the full CI too...
``` network TwoLayersNet: layers: fc1: Linear(300, 42) fc2: Linear(42, 300) forward x: x.fc1.relu.fc2 proc load*(ctx: Context[Tensor[float32]], inny : int): TwoLayersNet[float32] = result.fc1.weight = ctx.variable(read_npy[float32](&"model/hiddenweight{inny}.npy"), requires_grad = true) result.fc1.bias = ctx.variable(read_npy[float32](&"model/hiddenbias{inny}.npy"),...
Since `inShape` must be len 3 it should say "- inShape Shape of the expected input tensor in the form of [C_in, H_in, W_in]".
Firstly, I had to modify the arraymancer import to exclude 'softmax' procedure and then include it separately like so: `import arraymancer except softmax` `import arraymancer/nn/activation/softmax` If I don't do this,...
Following the [hint](https://github.com/mratsim/Arraymancer/blob/66372d249b849102fd196345a08d4563d904751a/src/arraymancer/tensor/data_structure.nim#L188).
 The items on the right of the toolbar (Tutorial, etc.) are either covered by the GitHub badge (and can't be clicked) or completely off the screen. (Note: I'm using...
This works: ```nim import arraymancer let foo = @[1, 2, 3].to_tensor echo foo ``` This doesn't: ```nim import arraymancer import std/enumerate let foo = @[1, 2, 3].to_tensor echo foo ```...
