_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_16000 | torch.multiprocessing.get_all_sharing_strategies() [source]
Returns a set of sharing strategies supported on a current system.
torch.multiprocessing.get_sharing_strategy() [source]
Returns the current strategy for sharing CPU tensors.
torch.multiprocessing.set_sharing_strategy(new_strategy) [source]
Sets ... | |
doc_16001 |
Put a value into a specified place in a field defined by a data-type. Place val into a’s field defined by dtype and beginning offset bytes into the field. Parameters
valobject
Value to be placed in field.
dtypedtype object
Data-type of the field in which to place val.
offsetint, optional
The number of b... | |
doc_16002 |
Return whether the artist uses clipping. | |
doc_16003 |
Get the properties associated with this pandas object. The available flags are Flags.allows_duplicate_labels See also Flags
Flags that apply to pandas objects. DataFrame.attrs
Global metadata applying to this dataset. Notes “Flags” differ from “metadata”. Flags reflect properties of the pandas object (the S... | |
doc_16004 |
Returns a copy of the calling offset object with n=1 and all other attributes equal. | |
doc_16005 | os.execle(path, arg0, arg1, ..., env)
os.execlp(file, arg0, arg1, ...)
os.execlpe(file, arg0, arg1, ..., env)
os.execv(path, args)
os.execve(path, args, env)
os.execvp(file, args)
os.execvpe(file, args, env)
These functions all execute a new program, replacing the current process; they do not return. On U... | |
doc_16006 |
Build a layout of Axes based on ASCII art or nested lists. This is a helper function to build complex GridSpec layouts visually. Note This API is provisional and may be revised in the future based on early user feedback. Parameters
mosaiclist of list of {hashable or nested} or str
A visual layout of how you w... | |
doc_16007 | See Migration guide for more details. tf.compat.v1.raw_ops.StridedSliceGrad
tf.raw_ops.StridedSliceGrad(
shape, begin, end, strides, dy, begin_mask=0, end_mask=0, ellipsis_mask=0,
new_axis_mask=0, shrink_axis_mask=0, name=None
)
Since StridedSlice cuts out pieces of its input which is size shape, its gradien... | |
doc_16008 | class sklearn.model_selection.KFold(n_splits=5, *, shuffle=False, random_state=None) [source]
K-Folds cross-validator Provides train/test indices to split data in train/test sets. Split dataset into k consecutive folds (without shuffling by default). Each fold is then used once as a validation while the k - 1 remaini... | |
doc_16009 | A list of strings representing the file suffixes for optimized bytecode modules. New in version 3.3. Deprecated since version 3.5: Use BYTECODE_SUFFIXES instead. | |
doc_16010 | bytearray.rjust(width[, fillbyte])
Return a copy of the object right justified in a sequence of length width. Padding is done using the specified fillbyte (default is an ASCII space). For bytes objects, the original sequence is returned if width is less than or equal to len(s). Note The bytearray version of this met... | |
doc_16011 | The type of methods of some built-in data types such as str.join(). New in version 3.7. | |
doc_16012 |
Set the patch face color. Parameters
colorcolor or None | |
doc_16013 | Open an LZMA-compressed file in binary or text mode, returning a file object. The filename argument can be either an actual file name (given as a str, bytes or path-like object), in which case the named file is opened, or it can be an existing file object to read from or write to. The mode argument can be any of "r", "... | |
doc_16014 |
Remove axes of length one from a. Refer to numpy.squeeze for full documentation. See also numpy.squeeze
equivalent function | |
doc_16015 | tf.metrics.BinaryAccuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.BinaryAccuracy
tf.keras.metrics.BinaryAccuracy(
name='binary_accuracy', dtype=None, threshold=0.5
)
This metric creates two local variables, total and count that are used to compute the frequen... | |
doc_16016 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_16017 | See Migration guide for more details. tf.compat.v1.data.experimental.CheckpointInputPipelineHook
tf.data.experimental.CheckpointInputPipelineHook(
estimator, external_state_policy='fail'
)
This hook saves the state of the iterators in the Graph so that when training is resumed the input pipeline continues from w... | |
doc_16018 |
Override switch to disable any mathtext parsing for this Text. Parameters
parse_mathbool
If False, this Text will never use mathtext. If True, mathtext will be used if there is an even number of unescaped dollar signs. | |
doc_16019 | tf.losses.CategoricalHinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.CategoricalHinge
tf.keras.losses.CategoricalHinge(
reduction=losses_utils.ReductionV2.AUTO, name='categorical_hinge'
)
loss = maximum(neg - pos + 1, 0) where neg=maximum((1-y_true)*y_pred) and ... | |
doc_16020 | Return the list of ciphers shared by the client during the handshake. Each entry of the returned list is a three-value tuple containing the name of the cipher, the version of the SSL protocol that defines its use, and the number of secret bits the cipher uses. shared_ciphers() returns None if no connection has been est... | |
doc_16021 | See Migration guide for more details. tf.compat.v1.raw_ops.SaveV2
tf.raw_ops.SaveV2(
prefix, tensor_names, shape_and_slices, tensors, name=None
)
By default, saves the named tensors in full. If the caller wishes to save specific slices of full tensors, "shape_and_slices" should be non-empty strings and correspon... | |
doc_16022 | An error raised when a NIS function returns an error code. | |
doc_16023 |
Infers the shapes of the inverse computation, given the output shape. Defaults to preserving shape. | |
doc_16024 | A list of functions that are called when the application context is destroyed. Since the application context is also torn down if the request ends this is the place to store code that disconnects from databases. Changelog New in version 0.9. | |
doc_16025 |
Set the norm limits for image scaling. Parameters
vmin, vmaxfloat
The limits. The limits may also be passed as a tuple (vmin, vmax) as a single positional argument. | |
doc_16026 |
Draw the Artist (and its children) using the given renderer. This has no effect if the artist is not visible (Artist.get_visible returns False). Parameters
rendererRendererBase subclass.
Notes This method is overridden in the Artist subclasses. | |
doc_16027 |
Create a quantized embedding module from a float module Parameters
mod (Module) – a float module, either produced by torch.quantization utilities or provided by user | |
doc_16028 |
Bases: object Convert strings to dvi files using TeX, caching the results to a directory. Repeated calls to this constructor always return the same instance. propertyfont_families[source]
propertyfont_family[source]
propertyfont_info[source]
get_basefile(tex, fontsize, dpi=None)[source]
Return a filen... | |
doc_16029 | Scan through string looking for the first location where this regular expression produces a match, and return a corresponding match object. Return None if no position in the string matches the pattern; note that this is different from finding a zero-length match at some point in the string. The optional second paramete... | |
doc_16030 | See Migration guide for more details. tf.compat.v1.raw_ops.WorkerHeartbeat
tf.raw_ops.WorkerHeartbeat(
request, name=None
)
Heartbeats may be sent periodically to indicate the coordinator is still active, to retrieve the current worker status and to expedite shutdown when necessary.
Args
request A Tenso... | |
doc_16031 | Tell the serve_forever() loop to stop and wait until it does. shutdown() must be called while serve_forever() is running in a different thread otherwise it will deadlock. | |
doc_16032 |
Returns cosine similarity between x1x_1 and x2x_2 , computed along dim. similarity=x1⋅x2max(∥x1∥2⋅∥x2∥2,ϵ).\text{similarity} = \dfrac{x_1 \cdot x_2}{\max(\Vert x_1 \Vert _2 \cdot \Vert x_2 \Vert _2, \epsilon)}.
Parameters
dim (int, optional) – Dimension where cosine similarity is computed. Default: 1
eps (f... | |
doc_16033 |
View inputs as arrays with at least two dimensions. Parameters
arys1, arys2, …array_like
One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved. Returns
res, res2, …ndarray
An array, or list of arrays, each with a.ndim >=... | |
doc_16034 |
Invoked when a new WebSocket is opened. The arguments to open are extracted from the tornado.web.URLSpec regular expression, just like the arguments to tornado.web.RequestHandler.get. open may be a coroutine. on_message will not be called until open has returned. Changed in version 5.1: open may be a coroutine. | |
doc_16035 | returns the layer that sprite is currently in. get_layer_of_sprite(sprite) -> layer If the sprite is not found then it will return the default layer. | |
doc_16036 | Returns True if the DE-9IM intersection matrix for the two geometries is T*F**F***. | |
doc_16037 | See Migration guide for more details. tf.compat.v1.raw_ops.BesselI0
tf.raw_ops.BesselI0(
x, name=None
)
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same type as x. | |
doc_16038 | Returns the number of objects that are related through the provided expression. Default alias: <field>__count
Return type: int
Has one optional argument:
distinct
If distinct=True, the count will only include unique instances. This is the SQL equivalent of COUNT(DISTINCT <field>). The default value is False.
... | |
doc_16039 | tf.compat.v1.metrics.false_positives(
labels, predictions, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
If weights is None, weights default to 1. Use weights of 0 to mask values.
Args
labels The ground truth values, a Tensor whose dimensions must match predictions. Wil... | |
doc_16040 |
Plot the power spectral density. The power spectral density \(P_{xx}\) by Welch's average periodogram method. The vector x is divided into NFFT length segments. Each segment is detrended by function detrend and windowed by function window. noverlap gives the length of the overlap between segments. The \(|\mathrm{fft}... | |
doc_16041 |
Bases: mpl_toolkits.axisartist.axis_artist.AttributeCopier, mpl_toolkits.axisartist.axis_artist.LabelBase Axis Label. Derived from Text. The position of the text is updated in the fly, so changing text position has no effect. Otherwise, the properties can be changed as a normal Text. To change the pad between ticklab... | |
doc_16042 | The Click command group for registering CLI commands for this object. The commands are available from the flask command once the application has been discovered and blueprints have been registered. | |
doc_16043 | tf.experimental.numpy.empty(
shape, dtype=float
)
See the NumPy documentation for numpy.empty. | |
doc_16044 | Returns one or more subgroups of the match. If there is a single argument, the result is a single string; if there are multiple arguments, the result is a tuple with one item per argument. Without arguments, group1 defaults to zero (the whole match is returned). If a groupN argument is zero, the corresponding return va... | |
doc_16045 |
BitGenerator for Chris Doty-Humphrey’s Small Fast Chaotic PRNG. Parameters
seed{None, int, array_like[ints], SeedSequence}, optional
A seed to initialize the BitGenerator. If None, then fresh, unpredictable entropy will be pulled from the OS. If an int or array_like[ints] is passed, then it will be passed to Se... | |
doc_16046 | See Migration guide for more details. tf.compat.v1.raw_ops.ThreadUnsafeUnigramCandidateSampler
tf.raw_ops.ThreadUnsafeUnigramCandidateSampler(
true_classes, num_true, num_sampled, unique, range_max, seed=0, seed2=0,
name=None
)
See explanations of candidate sampling and the data formats at go/candidate-sampl... | |
doc_16047 |
Return the Transform instance used by this artist. | |
doc_16048 | gis/openlayers-osm.html | |
doc_16049 |
Applies element-wise, CELU(x)=max(0,x)+min(0,α∗(exp(x/α)−1))\text{CELU}(x) = \max(0,x) + \min(0, \alpha * (\exp(x/\alpha) - 1)) . See CELU for more details. | |
doc_16050 | get the bit depth of the Surface pixel format get_bitsize() -> int Returns the number of bits used to represent each pixel. This value may not exactly fill the number of bytes used per pixel. For example a 15 bit Surface still requires a full 2 bytes. | |
doc_16051 | Return an URL with the same values, except for those parameters given new values by whichever keyword arguments are specified. Parameters
kwargs (Any) – Return type
werkzeug.urls.BaseURL | |
doc_16052 |
Bases: matplotlib.widgets.AxesWidget Selection curve of an arbitrary shape. The selected path can be used in conjunction with contains_point to select data points from an image. Unlike LassoSelector, this must be initialized with a starting point xy, and the Lasso events are destroyed upon release. Parameters
axA... | |
doc_16053 |
Set multiple properties at once. Supported properties are
Property Description
3d_properties unknown
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha scalar or None
animated bool
antialiased or aa bool or None
capstyle CapStyle or {... | |
doc_16054 | The Content-Security-Policy-Report-Only header adds a csp policy that is not enforced but is reported thereby helping detect certain types of attacks. | |
doc_16055 |
Apply chainable functions that expect Series or DataFrames. Parameters
func:function
Function to apply to the Series/DataFrame. args, and kwargs are passed into func. Alternatively a (callable, data_keyword) tuple where data_keyword is a string indicating the keyword of callable that expects the Series/DataFram... | |
doc_16056 |
Alias for set_edgecolor. | |
doc_16057 | Extend headers in this object with items from another object containing header items as well as keyword arguments. To replace existing keys instead of extending, use update() instead. If provided, the first argument can be another Headers object, a MultiDict, dict, or iterable of pairs. Changelog Changed in version 1.... | |
doc_16058 | Returns the shell context for an interactive shell for this application. This runs all the registered shell context processors. Changelog New in version 0.11. Return type
dict | |
doc_16059 | Return the next floating-point value after input towards other, elementwise. The shapes of input and other must be broadcastable. Parameters
input (Tensor) – the first input tensor
other (Tensor) – the second input tensor Keyword Arguments
out (Tensor, optional) – the output tensor. Example::
>>> eps = torc... | |
doc_16060 |
Bases: object A decorator that performs %-substitution on an object's docstring. This decorator should be robust even if obj.__doc__ is None (for example, if -OO was passed to the interpreter). Usage: construct a docstring.Substitution with a sequence or dictionary suitable for performing substitution; then decorate ... | |
doc_16061 |
Generate anti-aliased line pixel coordinates. Parameters
r0, c0int
Starting position (row, column).
r1, c1int
End position (row, column). Returns
rr, cc, val(N,) ndarray (int, int, float)
Indices of pixels (rr, cc) and intensity values (val). img[rr, cc] = val. References
1
A Rasterizing Alg... | |
doc_16062 | Returns an iterator over immediate children modules, yielding both the name of the module as well as the module itself. Yields
(string, Module) – Tuple containing a name and child module Example: >>> for name, module in model.named_children():
>>> if name in ['conv4', 'conv5']:
>>> print(module) | |
doc_16063 |
Return a new masked array with the specified size and shape. This is the masked equivalent of the numpy.resize function. The new array is filled with repeated copies of x (in the order that the data are stored in memory). If x is masked, the new array will be masked, and the new mask will be a repetition of the old o... | |
doc_16064 |
Least squares fit to data. Return a series instance that is the least squares fit to the data y sampled at x. The domain of the returned instance can be specified and this will often result in a superior fit with less chance of ill conditioning. Parameters
xarray_like, shape (M,)
x-coordinates of the M sample p... | |
doc_16065 | Return an array of bytes representing an integer. >>> (1024).to_bytes(2, byteorder='big')
b'\x04\x00'
>>> (1024).to_bytes(10, byteorder='big')
b'\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00'
>>> (-1024).to_bytes(10, byteorder='big', signed=True)
b'\xff\xff\xff\xff\xff\xff\xff\xff\xfc\x00'
>>> x = 1000
>>> x.to_bytes((x.bit... | |
doc_16066 | As a shortcut, you can use the convenient login_required() decorator: from django.contrib.auth.decorators import login_required
@login_required
def my_view(request):
...
login_required() does the following: If the user isn’t logged in, redirect to settings.LOGIN_URL, passing the current absolute path in the quer... | |
doc_16067 | See Migration guide for more details. tf.compat.v1.raw_ops.GetSessionHandle
tf.raw_ops.GetSessionHandle(
value, name=None
)
Args
value A Tensor. The tensor to be stored.
name A name for the operation (optional).
Returns A Tensor of type string. | |
doc_16068 |
Set the hatching pattern hatch can be one of: / - diagonal hatching
\ - back diagonal
| - vertical
- - horizontal
+ - crossed
x - crossed diagonal
o - small circle
O - large circle
. - dots
* - stars
Letters can be combined, in which case all the specified hatchings are done. If same letter repea... | |
doc_16069 |
Fit to data, then transform it. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X. Parameters
Xarray-like of shape (n_samples, n_features)
Input samples.
yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None
Target values (None for uns... | |
doc_16070 | tf.data.experimental.sample_from_datasets(
datasets, weights=None, seed=None
)
Args
datasets A list of tf.data.Dataset objects with compatible structure.
weights (Optional.) A list of len(datasets) floating-point values where weights[i] represents the probability with which an element should be samp... | |
doc_16071 | col_offset
end_lineno
end_col_offset
Instances of ast.expr and ast.stmt subclasses have lineno, col_offset, lineno, and col_offset attributes. The lineno and end_lineno are the first and last line numbers of source text span (1-indexed so the first line is line 1) and the col_offset and end_col_offset are the cor... | |
doc_16072 |
Bases: matplotlib.projections.geo._GeoTransform Create a new geographical transform. Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space. has_inverse=True
True if this transform has a corresponding inverse transform.
inverted()[source]
Ret... | |
doc_16073 | Get the “inheritable” flag of the specified file descriptor (a boolean). | |
doc_16074 |
Applies a 3D adaptive max pooling over an input signal composed of several input planes. The output is of size D x H x W, for any input size. The number of output features is equal to the number of input planes. Parameters
output_size – the target output size of the image of the form D x H x W. Can be a tuple (D,... | |
doc_16075 | Repeat elements of a tensor. Warning This is different from torch.Tensor.repeat() but similar to numpy.repeat. Parameters
input (Tensor) – the input tensor.
repeats (Tensor or int) – The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis.
dim (int, optional) – The ... | |
doc_16076 |
No-op. This method doesn’t do anything. It exists purely for compatibility with the scikit-learn transformer API. Parameters
Xndarray
Returns
selfFeatureHasher | |
doc_16077 |
Moves and/or casts the parameters and buffers. This can be called as
to(device=None, dtype=None, non_blocking=False) [source]
to(dtype, non_blocking=False) [source]
to(tensor, non_blocking=False) [source]
to(memory_format=torch.channels_last) [source]
Its signature is similar to torch.Tensor.to(), but... | |
doc_16078 | See Migration guide for more details. tf.compat.v1.raw_ops.SegmentMin
tf.raw_ops.SegmentMin(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments. Computes a tensor such that \(output_i = \min_j(data_j)\) where min is over j such that segment_ids[j] == i. If the min is e... | |
doc_16079 |
Remove the artist from the figure if possible. The effect will not be visible until the figure is redrawn, e.g., with FigureCanvasBase.draw_idle. Call relim to update the axes limits if desired. Note: relim will not see collections even if the collection was added to the axes with autolim = True. Note: there is no su... | |
doc_16080 | tf.experimental.numpy.zeros_like(
a, dtype=None
)
Unsupported arguments: order, subok, shape. See the NumPy documentation for numpy.zeros_like. | |
doc_16081 | All arguments except filename are optional, and should be specified in keyword form. Test examples in the file named filename. Return (failure_count,
test_count). Optional argument module_relative specifies how the filename should be interpreted: If module_relative is True (the default), then filename specifies an OS-... | |
doc_16082 |
Add a label to the long axis of the colorbar. Parameters
labelstr
The label text.
locstr, optional
The location of the label. For horizontal orientation one of {'left', 'center', 'right'} For vertical orientation one of {'bottom', 'center', 'top'} Defaults to rcParams["xaxis.labellocation"] (default: 'cen... | |
doc_16083 |
Returns a 2-dimensional view of each input tensor with zero dimensions. Input tensors with two or more dimensions are returned as-is. :param input: :type input: Tensor or list of Tensors Returns
output (Tensor or tuple of Tensors) Example::
>>> x = torch.tensor(1.)
>>> x
tensor(1.)
>>> torch.atleast_2d(x)
tenso... | |
doc_16084 | Hook method executed once when cmdloop() is about to return. This method is a stub in Cmd; it exists to be overridden by subclasses. | |
doc_16085 | Determine the URL to redirect to when the form is successfully validated. Returns success_url by default. | |
doc_16086 |
Set multiple properties at once. Supported properties are
Property Description
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha scalar or None
animated bool
bbox_to_anchor BboxBase or tuple
clip_box Bbox
clip_on bool
clip_path Pat... | |
doc_16087 | Provides an iterator over all of the opcodes in a pickle, returning a sequence of (opcode, arg, pos) triples. opcode is an instance of an OpcodeInfo class; arg is the decoded value, as a Python object, of the opcode’s argument; pos is the position at which this opcode is located. pickle can be a string or a file-like o... | |
doc_16088 |
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each transformer will be concatenated to form a single feature space. This is useful for heterogeneous or columnar data, to... | |
doc_16089 |
Return the artist's zorder. | |
doc_16090 | This class is identical to HTTPServer but uses threads to handle requests by using the ThreadingMixIn. This is useful to handle web browsers pre-opening sockets, on which HTTPServer would wait indefinitely. New in version 3.7. | |
doc_16091 | Appends subelements from a sequence object with zero or more elements. Raises TypeError if a subelement is not an Element. New in version 3.2. | |
doc_16092 |
Applies Alpha Dropout over the input. Alpha Dropout is a type of Dropout that maintains the self-normalizing property. For an input with zero mean and unit standard deviation, the output of Alpha Dropout maintains the original mean and standard deviation of the input. Alpha Dropout goes hand-in-hand with SELU activat... | |
doc_16093 | Save the current terminal mode as the “shell” mode, the mode when the running program is not using curses. (Its counterpart is the “program” mode, when the program is using curses capabilities.) Subsequent calls to reset_shell_mode() will restore this mode. | |
doc_16094 |
Sets the gradients of all optimized torch.Tensor s to zero. Parameters
set_to_none (bool) – instead of setting to zero, set the grads to None. This will in general have lower memory footprint, and can modestly improve performance. However, it changes certain behaviors. For example: 1. When the user tries to access ... | |
doc_16095 | Given data and files dictionaries and this widget’s name, returns whether or not there’s data or files for the widget. The method’s result affects whether or not a field in a model form falls back to its default. Special cases are CheckboxInput, CheckboxSelectMultiple, and SelectMultiple, which always return False beca... | |
doc_16096 | A read-only property for the arithmetic mean of a normal distribution. | |
doc_16097 | A decorator for importlib.abc.Loader.load_module() to set the __package__ attribute on the returned module. If __package__ is set and has a value other than None it will not be changed. Deprecated since version 3.4: The import machinery takes care of this automatically. | |
doc_16098 |
Initialize self. See help(type(self)) for accurate signature. | |
doc_16099 | See Migration guide for more details. tf.compat.v1.raw_ops.UnsortedSegmentProd
tf.raw_ops.UnsortedSegmentProd(
data, segment_ids, num_segments, name=None
)
Read the section on segmentation for an explanation of segments. This operator is similar to the unsorted segment sum operator found (here). Instead of compu... |
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