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 have to be an existing file. ...
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?...
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...
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> ...
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 ...
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 have to be an existing file. ...
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...
This is a wrapper around numpy's random.normal(). Parameters --- loc : number or imgaug.parameters.StochasticParameter The mean of the normal distribution. If StochasticParameter, the mean will be sampled once per call to :func:`imgaug.parameters.Normal._draw_samples`. scale : number or ...