Functions — github.com/carpedm20/pixel-rnn-tensorflow

CodeHub MCPcopy Create free account

hub / github.com/carpedm20/pixel-rnn-tensorflow / functions

Functions42 in github.com/carpedm20/pixel-rnn-tensorflow

⨍ Functions 42 ◇ Types & classes 5

↓ 9 callersFunctionconv2d

( inputs, num_outputs, kernel_shape, # [kernel_height, kernel_width] mask_type, # None, "A" or

↓ 6 callersFunctionget_shape

↓ 3 callersFunctionbinarize

↓ 2 callersFunction_generate_image_and_label_batch

Construct a queued batch of images and labels. Args: image: 3-D Tensor of [height, width, 3] of type.float32. label: 1-D Tensor of type.int

↓ 2 callersFunctioncheck_and_create_dir

↓ 2 callersFunctiondiagonal_lstm

(inputs, conf, scope='diagonal_lstm')

↓ 2 callersMethodgenerate

↓ 2 callersFunctionread_cifar10

Reads and parses examples from CIFAR10 data files. Recommendation: if you want N-way read parallelism, call this function N times. This will giv

↓ 2 callersMethodreset

statistic.py:34

↓ 2 callersFunctionreverse

↓ 2 callersFunctionsave_images

(images, height, width, n_row, n_col, cmin=0.0, cmax=1.0, directory="./", prefix="sample")

↓ 2 callersMethodtest

(self, images, with_update=False)

↓ 1 callersFunctionconv1d

( inputs, num_outputs, kernel_size, strides=[1, 1], # [column_wise_stride, row_wise_stride]

↓ 1 callersFunctiondiagonal_bilstm

(inputs, conf, scope='diagonal_bilstm')

↓ 1 callersFunctionget_model_dir

(config, exceptions=None)

↓ 1 callersMethodget_t

statistic.py:45

↓ 1 callersFunctionget_timestamp

↓ 1 callersMethodinject_summary

(self, tag_dict, t)

statistic.py:48

↓ 1 callersFunctioninputs

Construct input for CIFAR evaluation using the Reader ops. Args: eval_data: bool, indicating if one should use the train or eval data set.

↓ 1 callersMethodload_model

statistic.py:63

↓ 1 callersFunctionmaybe_download_and_extract

Download and extract the tarball from Alex's website. From https://github.com/tensorflow/tensorflow/blob/r0.9/tensorflow/models/image/cifar10/cif

↓ 1 callersFunctionmprint

(matrix, pivot=0.5)

↓ 1 callersMethodon_step

(self, train_l, test_l)

statistic.py:37

↓ 1 callersMethodpredict

↓ 1 callersFunctionpreprocess_conf

↓ 1 callersMethodsave_model

statistic.py:55

↓ 1 callersFunctionshow_all_variables

↓ 1 callersFunctionskew

(inputs, scope="skew")

↓ 1 callersFunctionunskew

(inputs, width=None, scope="unskew")

(self, i_to_s, state, scope="DiagonalBiLSTMCell")

(self, inputs, state, scope="RowLSTMCell")

(self, sess, conf, height, width, channel)

(self, hidden_dims, height, channel)

(self, num_units, kernel_shape=[3, 1])

(self, sess, data, model_dir, variables, test_step, max_to_keep=20)

Function_progress

(count, block_size, total_size)

Functiondistorted_inputs

Construct distorted input for CIFAR training using the Reader ops. Args: data_dir: Path to the CIFAR-10 data directory. batch_size: Number

Methodoutput_size

Methodoutput_size

Methodstate_size

Methodstate_size