Utility function to apply conv + BN. Arguments: x: input tensor. filters: filters in `Conv2D`. num_row: height of the convolution

Reshape the input to the target shape. If called several times, the axes named in existing_axis_names must be identical. Args: lab

Shape of a single sample from a single batch as a 1-D int32 `Tensor`. Args: name: name to give to the op Returns: event_shape: `

Returns the values captured so far. Returns: `dict` mapping `int` step numbers to that values of the variable at the respective s

Calculate the Cuda launch config we should use for a kernel launch. This is assuming the kernel is quite simple and will largely be memory-limited. RE

Returns a context manager to enclose code expected to raise an exception. If the exception is an OpError, the op stack is also included in the me

Maps `map_func` across this datset. Args: map_func: A function mapping a nested structure of tensors (having shapes and types defin

Compute the 1D interpolation for a given X index using the y_weights

Returns the list of colocation groups of the op.

Formats CUresult to output prettified values into a log stream. Error summaries taken from: http://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__T

Add an item from the page to the Metadata block. Args: item: The parsed page section to add.

Copy a subgraph. Args: sgv: the source subgraph-view. This argument is converted to a subgraph using the same rules than the function sub

Returns the size of the file.

Returns the object referred to by `obj`, as an `Operation` or `Tensor`. This function validates that `obj` represents an element of this grap

Return the list of operations in the graph. You can modify the operations in place, but modifications to the list such as inserts/delete have

Returns one more than the maximum id assigned to any node.

Continue till the completion of the specified target tensor. Args: target: A single fetched Tensor or Op, or a name (str) representing the

Retrieves the output shape(s) of a layer. Only applicable if the layer has one output, or if all outputs have the same shape. Returns:

A wrapper around CommandHandlerRegistry.register_command_handler(). In addition to calling the wrapped register_command_handler() method, this

Releases the cleanup function instead of running it. Hint: use c.release()() to run early.

Start threads for `QueueRunners`. Note that the queue runners collected in the graph key `QUEUE_RUNNERS` are already started automatically wh

Return a dense (batch) matrix representing this operator.

Variance. Variance is defined as, ```none Var = E[(X - E[X])**2] ``` where `X` is the random variable associated with this dist

Write `value` into index `index` of the TensorArray. Args: index: 0-D. int32 scalar with the index to write to. value: N-D. Tensor

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Returns value of the variable given by name. Args: name: string, name of the tensor. Returns: Numpy array - value of the tensor.

Creates a deep copy of the distribution. Note: the copy distribution may continue to depend on the original initialization arguments. Ar

Returns the number of users of this instruction.

Returns a new dimension of the given size. The returned value is owned by this context.

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Returns the total number of elements, or none for incomplete shapes.

Creates a new single-process cluster running on the local host. This method is a convenience wrapper for creating a `tf.train.Server` with a

Returns the (mutable) result shape of this instruction.

Create an op that places a value into the staging area. This operation will block if the `StagingArea` has reached its capacity. Args:

Report a benchmark. Args: iters: (optional) How many iterations were run cpu_time: (optional) median or mean cpu time in seconds.

Return the values in the TensorArray as a stacked `Tensor`. All of the values must have been written and their shapes must all match. If inpu

Returns a shape based on `self` with the given rank. This method promotes a completely unknown shape to one with a known rank. Args:

Return a copy of itself. Note that this class is a "view", copying it only create another view and does not copy the underlying part of the t

Reshape the input to the original shape. This is the inverse of encode. Encode must have been called at least once prior to this method being

Returns a `Tensor` for the given key. A `str` key is used to access a base feature (not-transformed). When a `_FeatureColumn` is passed, the

Returns the `Operation` with the given `name`. This method may be called concurrently from multiple threads. Args: name: The name of t