Set parameters for this layer and all sublayers Args: parameters(dict): A dictionary contains parameter names and co

Takes a tensor as input and outputs a tensor containing the shape of the input tensor. Args: x (Tensor): Input tensor Returns

Check sign. See also:** Documentation for [std::signbit](https://en.cppreference.com/w/cpp/numeric/math/signbit). \param arg number to check \retval t

Sine function. This function is exact to rounding for all rounding modes. See also:** Documentation for [std::sin](https://en.cppreference.com/w/cpp/

get a onnx node from singa operator Args: op: a given operator Args: op_t: the tensor of the operator

get onnx model from singa computational graph Args: inputs: a list of input tensors (each is initialized with a name)

STL-style container methods.

mini_batch_data: [('0', '0', '123:123', '123:123', '123:123',)

Args: t (Tensor): input Tensor Returns: a new Tensor whose element y = sqrt(x), x is an element of t

Start the server. This method will first bind and listen on the designated host and port. Then it will connect to num_clients clients

Gets the time of the test program start, in ms from the start of the UNIX epoch.

Gets the number of successful tests.

Returns the number of the test properties.

Converts a class vector (integers) to binary class matrix. Args: y: class vector to be converted into a matrix

Converts a class vector (integers) to binary class matrix. Args: y: class vector to be converted into a matrix

Converts a class vector (integers) to binary class matrix. Args: y: class vector to be converted into a matrix

Converts a class vector (integers) to binary class matrix. Args: y: class vector to be converted into a matrix

Converts a class vector (integers) to binary class matrix. Args: y: class vector to be converted into a matrix

Converts a class vector (integers) to binary class matrix. Args: y: class vector to be converted into a matrix

Converts a class vector (integers) to binary class matrix. Args: y: class vector to be converted into a matrix

Copy the data to a host tensor. Args: t (Tensor): a Tensor Returns: new Tensor at host

Copy the data to a host tensor. Args: t (Tensor): a Tensor Returns: new Tensor at host

Move the tensor data onto the default host CppCPU device.

convert the input to tensors Args: x (np.ndarray[]): a list of numpy ndarray as inputs Returns: a di

Copy the tensor into a numpy array. Args: t (Tensor): a Tensor Returns: a numpy array

Copy the tensor into a numpy array. Args: t (Tensor): a Tensor Returns: a numpy array

convert the tensors to input Args: x (np.ndarray[]): a list of numpy ndarray as inputs Returns: a di

Change the data type inplace. Args: dtype: accepts 'int', 'float', 'singa.kFloat32', 'singa.kInt' Returns: n

Tokenizes a piece of text.

Gets the number of all test parts. This is the sum of the number of successful test parts and the number of failed test parts.

Defines the computation performed in every training iteration Should be overridden by all subclasses. Args: *input: the

Defines the computation performed in every training iteration Should be overridden by all subclasses. Args: *input: the

Defines the computation performed in every training iteration Should be overridden by all subclasses. Args: *input: the

Defines the computation performed in every training iteration Should be overridden by all subclasses. Args: *input: the

this function updates the base indexes with the current index after every single traversal step, can be generalized beyond 2d cases

Return the current value of the moving average

Write final predictions to the json file.

The constructor of SingleFailureChecker remembers where to look up test part results, what type of failure we expect, and what substring the failure m

A convenient wrapper for adding an environment for the test program. You should call this before RUN_ALL_TESTS() is called, probably in main(). If y

INSTANTIATE_TEST_CASE_P macro uses AddGenerator() to record information about a generator.

Adds a TestInfo to the unit test. Arguments: set_up_tc: pointer to the function that sets up the test case tear_down_tc: pointer to the function

TEST_P macro uses AddTestPattern() to record information about a single test in a LocalTestInfo structure. test_case_name is the base name of the test

Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.

Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.

Advance should not be called on beyond-of-range iterators so no component iterators must be beyond end of range, either.