SYMBOL INDEX (62 symbols across 17 files) FILE: SOURCE/how_tos/adding_an_op/attr_examples.cc function main (line 27) | int main(int argc, char* argv[]) { FILE: SOURCE/how_tos/adding_an_op/fact_test.py class FactTest (line 9) | class FactTest(tf.test.TestCase): method test (line 11) | def test(self): FILE: SOURCE/how_tos/adding_an_op/zero_out_1_test.py class ZeroOut1Test (line 9) | class ZeroOut1Test(tf.test.TestCase): method test (line 11) | def test(self): FILE: SOURCE/how_tos/adding_an_op/zero_out_2_test.py class ZeroOut2Test (line 11) | class ZeroOut2Test(tf.test.TestCase): method test (line 13) | def test(self): method test_grad (line 18) | def test_grad(self): FILE: SOURCE/how_tos/adding_an_op/zero_out_3_test.py class ZeroOut3Test (line 9) | class ZeroOut3Test(tf.test.TestCase): method test (line 11) | def test(self): method testAttr (line 16) | def testAttr(self): method testNegative (line 21) | def testNegative(self): method testLarge (line 27) | def testLarge(self): FILE: SOURCE/how_tos/adding_an_op/zero_out_grad_2.py function _zero_out_grad (line 9) | def _zero_out_grad(op, grad): FILE: SOURCE/how_tos/adding_an_op/zero_out_op_kernel_1.cc class ZeroOutOp (line 16) | class ZeroOutOp : public OpKernel { method ZeroOutOp (line 18) | explicit ZeroOutOp(OpKernelConstruction* context) : OpKernel(context) {} method Compute (line 20) | void Compute(OpKernelContext* context) override { FILE: SOURCE/how_tos/adding_an_op/zero_out_op_kernel_2.cc class ZeroOutOp (line 40) | class ZeroOutOp : public OpKernel { method ZeroOutOp (line 42) | explicit ZeroOutOp(OpKernelConstruction* context) : OpKernel(context) {} method Compute (line 44) | void Compute(OpKernelContext* context) override { FILE: SOURCE/how_tos/adding_an_op/zero_out_op_kernel_3.cc class ZeroOutOp (line 11) | class ZeroOutOp : public OpKernel { method ZeroOutOp (line 13) | explicit ZeroOutOp(OpKernelConstruction* context) : OpKernel(context) { method Compute (line 23) | void Compute(OpKernelContext* context) override { FILE: SOURCE/how_tos/reading_data/convert_to_records.py function _int64_feature (line 27) | def _int64_feature(value): function _bytes_feature (line 31) | def _bytes_feature(value): function convert_to (line 35) | def convert_to(images, labels, name): function main (line 58) | def main(argv): FILE: SOURCE/how_tos/reading_data/fully_connected_preloaded.py function run_training (line 34) | def run_training(): function main (line 128) | def main(_): FILE: SOURCE/how_tos/reading_data/fully_connected_preloaded_var.py function run_training (line 34) | def run_training(): function main (line 140) | def main(_): FILE: SOURCE/how_tos/reading_data/fully_connected_reader.py function read_and_decode (line 38) | def read_and_decode(filename_queue): function inputs (line 67) | def inputs(train, batch_size, num_epochs): function run_training (line 109) | def run_training(): function main (line 174) | def main(_): FILE: SOURCE/tutorials/mnist/fully_connected_feed.py function placeholder_inputs (line 37) | def placeholder_inputs(batch_size): function fill_feed_dict (line 59) | def fill_feed_dict(data_set, images_pl, labels_pl): function do_eval (line 87) | def do_eval(sess, function run_training (line 116) | def run_training(): function main (line 213) | def main(_): FILE: SOURCE/tutorials/mnist/input_data.py function maybe_download (line 12) | def maybe_download(filename, work_directory): function _read32 (line 24) | def _read32(bytestream): function extract_images (line 29) | def extract_images(filename): function dense_to_one_hot (line 47) | def dense_to_one_hot(labels_dense, num_classes=10): function extract_labels (line 56) | def extract_labels(filename, one_hot=False): class DataSet (line 73) | class DataSet(object): method __init__ (line 75) | def __init__(self, images, labels, fake_data=False): method images (line 98) | def images(self): method labels (line 102) | def labels(self): method num_examples (line 106) | def num_examples(self): method epochs_completed (line 110) | def epochs_completed(self): method next_batch (line 113) | def next_batch(self, batch_size, fake_data=False): function read_data_sets (line 138) | def read_data_sets(train_dir, fake_data=False, one_hot=False): FILE: SOURCE/tutorials/mnist/mnist.py function inference (line 33) | def inference(images, hidden1_units, hidden2_units): function loss (line 74) | def loss(logits, labels): function training (line 101) | def training(loss, learning_rate): function evaluation (line 130) | def evaluation(logits, labels): FILE: SOURCE/tutorials/word2vec/word2vec_basic.py function maybe_download (line 16) | def maybe_download(filename, expected_bytes): function read_data (line 33) | def read_data(filename): function build_dataset (line 45) | def build_dataset(words): function generate_batch (line 73) | def generate_batch(batch_size, num_skips, skip_window): function plot_with_labels (line 197) | def plot_with_labels(low_dim_embs, labels, filename='tsne.png'):