Log numpy metrics or PIL image objectsmlflow.log_image(img, "figure.png")imgshould be an instance ofnumpy.ndarrayorPIL.Image.Image.figure.pngis the name of the artifact generated inside of the run. It doesn't h
Dequantizes the input tensor and writes the result to the output tensor. iOS 15.0+iPadOS 15.0+macOS 12.0+tvOS 15.0+visionOSwatchOS 8.0+Mac Catalyst staticfuncdequantize(batchSize:Int,input:BNNSNDArrayDescriptor,output:BNNSNDArrayDescriptor,axis:Int? = nil,scale:BNNSNDArrayDescriptor?...
feat!: New API for models initialization with accelerators parameters. Use HF implementation for LayoutPredictor. Migrate models to safetensors format. (#50)Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com> Co-authored-by: Christoph Auer <cau@zurich.ibm.com> ...
This is not a contribution. When handling optimizer state, TorchPolicy.get_state converts all torch.Tensor to numpy.ndarray. TorchPolicy.set_state is supposed to convert them back. However, it accidently converts extra parameters, such as lr, betas, step, and etc, into torch.Tensor on self...
A value to scale the result. Deprecated varbeta:Float A value, that must be either 0.0 or 1.0, you use to scale the existing output before the operation adds it to the result. Deprecated vartransA:Bool A Boolean value that transposes the last two dimensions of matrixA. ...
There are a few other sorting functions in the numpy module, such as ndarray.sort()( to sort an array in-place), np.argsort() (for indirect sort), np.lexsort() (for indirect stable sort on multiple keys) and np.partition() ( for partial sort). We will be discussing them in greate...
(as opposed to a entire file), into a sequence of multiple smaller chunks/segments for streaming. In this mode, StreamGear supports real-timenumpy.ndarrayframes, and process them over FFmpeg pipeline. But on the downside, audio has to added manually(as separate source)for streams.Learn more ...
json_encoders = {NdArray: lambda v: v.tolist()} class Parameters(BaseModel): emb_dim: int class SampleExecutor(Executor): @requests(on="/encode") def foo(self, docs: DocList[TextDoc], **kwargs) -> DocList[EmbeddingResponseModel]: @@ -32,3 +37,16 @@ def foo(self, docs: Doc...
new_weights was a copy of the old weights (which tf interprets as a np.ndarray). So rather than copy-pasting a matrix or anything complex, new_weights = 0, just sets element-wise the np.ndarray (tensor) to 0. Perhaps better pseudo code would have been: weights = lazy_fetch_variable...
S bnns_graph_context_t M static func clip(to: ClosedRange<Float>, input: BNNSNDArrayDescriptor, output: BNNSNDArrayDescriptor) throwsDeprecated M static func clipByGlobalNorm(threshold: Float, inputs: [BNNSNDArrayDescriptor], outputs: [BNNSNDArrayDescriptor], globalNor...