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diff --git a/tensorflow/g3doc/api_docs/python/index.md b/tensorflow/g3doc/api_docs/python/index.md new file mode 100644 index 0000000000..72c0a401ef --- /dev/null +++ b/tensorflow/g3doc/api_docs/python/index.md @@ -0,0 +1,352 @@ +<!-- This file is machine generated: DO NOT EDIT! --> + +# TensorFlow Python reference documentation + +* <b>[Building Graphs](framework.md)</b>: [class DType](framework.md#DType), + [class Dimension](framework.md#Dimension), + [class Graph](framework.md#Graph), + [class GraphKeys](framework.md#GraphKeys), + [NoGradient](framework.md#NoGradient), + [class Operation](framework.md#Operation), + [class RegisterGradient](framework.md#RegisterGradient), + [class RegisterShape](framework.md#RegisterShape), + [class Tensor](framework.md#Tensor), + [class TensorShape](framework.md#TensorShape), + [add_to_collection](framework.md#add_to_collection), + [as_dtype](framework.md#as_dtype), + [control_dependencies](framework.md#control_dependencies), + [convert_to_tensor](framework.md#convert_to_tensor), + [device](framework.md#device), + [get_collection](framework.md#get_collection), + [get_default_graph](framework.md#get_default_graph), + [get_seed](framework.md#get_seed), + [import_graph_def](framework.md#import_graph_def), + [name_scope](framework.md#name_scope), + [op_scope](framework.md#op_scope) + +* <b>[Constants, Sequences, and Random Values](constant_op.md)</b>: [constant](constant_op.md#constant), + [fill](constant_op.md#fill), + [linspace](constant_op.md#linspace), + [ones](constant_op.md#ones), + [ones_like](constant_op.md#ones_like), + [random_normal](constant_op.md#random_normal), + [random_shuffle](constant_op.md#random_shuffle), + [random_uniform](constant_op.md#random_uniform), + [range](constant_op.md#range), + [set_random_seed](constant_op.md#set_random_seed), + [truncated_normal](constant_op.md#truncated_normal), + [zeros](constant_op.md#zeros), + [zeros_like](constant_op.md#zeros_like) + +* <b>[Variables](state_ops.md)</b>: [class IndexedSlices](state_ops.md#IndexedSlices), + [class Saver](state_ops.md#Saver), + [class Variable](state_ops.md#Variable), + [all_variables](state_ops.md#all_variables), + [assert_variables_initialized](state_ops.md#assert_variables_initialized), + [assign](state_ops.md#assign), + [assign_add](state_ops.md#assign_add), + [assign_sub](state_ops.md#assign_sub), + [constant_initializer](state_ops.md#constant_initializer), + [count_up_to](state_ops.md#count_up_to), + [device](state_ops.md#device), + [get_checkpoint_state](state_ops.md#get_checkpoint_state), + [get_variable](state_ops.md#get_variable), + [get_variable_scope](state_ops.md#get_variable_scope), + [initialize_all_variables](state_ops.md#initialize_all_variables), + [initialize_variables](state_ops.md#initialize_variables), + [latest_checkpoint](state_ops.md#latest_checkpoint), + [random_normal_initializer](state_ops.md#random_normal_initializer), + [random_uniform_initializer](state_ops.md#random_uniform_initializer), + [scatter_add](state_ops.md#scatter_add), + [scatter_sub](state_ops.md#scatter_sub), + [scatter_update](state_ops.md#scatter_update), + [sparse_mask](state_ops.md#sparse_mask), + [trainable_variables](state_ops.md#trainable_variables), + [truncated_normal_initializer](state_ops.md#truncated_normal_initializer), + [uniform_unit_scaling_initializer](state_ops.md#uniform_unit_scaling_initializer), + [update_checkpoint_state](state_ops.md#update_checkpoint_state), + [variable_scope](state_ops.md#variable_scope), + [zeros_initializer](state_ops.md#zeros_initializer) + +* <b>[Tensor Transformations](array_ops.md)</b>: [cast](array_ops.md#cast), + [concat](array_ops.md#concat), + [dynamic_partition](array_ops.md#dynamic_partition), + [dynamic_stitch](array_ops.md#dynamic_stitch), + [expand_dims](array_ops.md#expand_dims), + [gather](array_ops.md#gather), + [pack](array_ops.md#pack), + [pad](array_ops.md#pad), + [rank](array_ops.md#rank), + [reshape](array_ops.md#reshape), + [reverse](array_ops.md#reverse), + [reverse_sequence](array_ops.md#reverse_sequence), + [shape](array_ops.md#shape), + [size](array_ops.md#size), + [slice](array_ops.md#slice), + [split](array_ops.md#split), + [squeeze](array_ops.md#squeeze), + [string_to_number](array_ops.md#string_to_number), + [tile](array_ops.md#tile), + [to_bfloat16](array_ops.md#to_bfloat16), + [to_double](array_ops.md#to_double), + [to_float](array_ops.md#to_float), + [to_int32](array_ops.md#to_int32), + [to_int64](array_ops.md#to_int64), + [transpose](array_ops.md#transpose), + [unpack](array_ops.md#unpack) + +* <b>[Math](math_ops.md)</b>: [abs](math_ops.md#abs), + [accumulate_n](math_ops.md#accumulate_n), + [add](math_ops.md#add), + [add_n](math_ops.md#add_n), + [argmax](math_ops.md#argmax), + [argmin](math_ops.md#argmin), + [batch_cholesky](math_ops.md#batch_cholesky), + [batch_matmul](math_ops.md#batch_matmul), + [batch_matrix_determinant](math_ops.md#batch_matrix_determinant), + [batch_matrix_inverse](math_ops.md#batch_matrix_inverse), + [ceil](math_ops.md#ceil), + [cholesky](math_ops.md#cholesky), + [complex](math_ops.md#complex), + [complex_abs](math_ops.md#complex_abs), + [conj](math_ops.md#conj), + [cos](math_ops.md#cos), + [diag](math_ops.md#diag), + [div](math_ops.md#div), + [edit_distance](math_ops.md#edit_distance), + [exp](math_ops.md#exp), + [floor](math_ops.md#floor), + [imag](math_ops.md#imag), + [inv](math_ops.md#inv), + [invert_permutation](math_ops.md#invert_permutation), + [listdiff](math_ops.md#listdiff), + [log](math_ops.md#log), + [matmul](math_ops.md#matmul), + [matrix_determinant](math_ops.md#matrix_determinant), + [matrix_inverse](math_ops.md#matrix_inverse), + [maximum](math_ops.md#maximum), + [minimum](math_ops.md#minimum), + [mod](math_ops.md#mod), + [mul](math_ops.md#mul), + [neg](math_ops.md#neg), + [pow](math_ops.md#pow), + [real](math_ops.md#real), + [reduce_all](math_ops.md#reduce_all), + [reduce_any](math_ops.md#reduce_any), + [reduce_max](math_ops.md#reduce_max), + [reduce_mean](math_ops.md#reduce_mean), + [reduce_min](math_ops.md#reduce_min), + [reduce_prod](math_ops.md#reduce_prod), + [reduce_sum](math_ops.md#reduce_sum), + [round](math_ops.md#round), + [rsqrt](math_ops.md#rsqrt), + [segment_max](math_ops.md#segment_max), + [segment_mean](math_ops.md#segment_mean), + [segment_min](math_ops.md#segment_min), + [segment_prod](math_ops.md#segment_prod), + [segment_sum](math_ops.md#segment_sum), + [sign](math_ops.md#sign), + [sin](math_ops.md#sin), + [sparse_segment_mean](math_ops.md#sparse_segment_mean), + [sparse_segment_sum](math_ops.md#sparse_segment_sum), + [sqrt](math_ops.md#sqrt), + [square](math_ops.md#square), + [sub](math_ops.md#sub), + [transpose](math_ops.md#transpose), + [unique](math_ops.md#unique), + [unsorted_segment_sum](math_ops.md#unsorted_segment_sum), + [where](math_ops.md#where) + +* <b>[Control Flow](control_flow_ops.md)</b>: [Assert](control_flow_ops.md#Assert), + [Print](control_flow_ops.md#Print), + [add_check_numerics_ops](control_flow_ops.md#add_check_numerics_ops), + [check_numerics](control_flow_ops.md#check_numerics), + [count_up_to](control_flow_ops.md#count_up_to), + [equal](control_flow_ops.md#equal), + [greater](control_flow_ops.md#greater), + [greater_equal](control_flow_ops.md#greater_equal), + [group](control_flow_ops.md#group), + [identity](control_flow_ops.md#identity), + [is_finite](control_flow_ops.md#is_finite), + [is_inf](control_flow_ops.md#is_inf), + [is_nan](control_flow_ops.md#is_nan), + [less](control_flow_ops.md#less), + [less_equal](control_flow_ops.md#less_equal), + [logical_and](control_flow_ops.md#logical_and), + [logical_not](control_flow_ops.md#logical_not), + [logical_or](control_flow_ops.md#logical_or), + [logical_xor](control_flow_ops.md#logical_xor), + [no_op](control_flow_ops.md#no_op), + [not_equal](control_flow_ops.md#not_equal), + [select](control_flow_ops.md#select), + [tuple](control_flow_ops.md#tuple), + [verify_tensor_all_finite](control_flow_ops.md#verify_tensor_all_finite), + [where](control_flow_ops.md#where) + +* <b>[Images](image.md)</b>: [adjust_brightness](image.md#adjust_brightness), + [adjust_contrast](image.md#adjust_contrast), + [crop_to_bounding_box](image.md#crop_to_bounding_box), + [decode_jpeg](image.md#decode_jpeg), + [decode_png](image.md#decode_png), + [encode_jpeg](image.md#encode_jpeg), + [encode_png](image.md#encode_png), + [extract_glimpse](image.md#extract_glimpse), + [flip_left_right](image.md#flip_left_right), + [flip_up_down](image.md#flip_up_down), + [pad_to_bounding_box](image.md#pad_to_bounding_box), + [per_image_whitening](image.md#per_image_whitening), + [random_brightness](image.md#random_brightness), + [random_contrast](image.md#random_contrast), + [random_crop](image.md#random_crop), + [random_flip_left_right](image.md#random_flip_left_right), + [random_flip_up_down](image.md#random_flip_up_down), + [resize_area](image.md#resize_area), + [resize_bicubic](image.md#resize_bicubic), + [resize_bilinear](image.md#resize_bilinear), + [resize_image_with_crop_or_pad](image.md#resize_image_with_crop_or_pad), + [resize_images](image.md#resize_images), + [resize_nearest_neighbor](image.md#resize_nearest_neighbor), + [transpose_image](image.md#transpose_image) + +* <b>[Sparse Tensors](sparse_ops.md)</b>: [class SparseTensor](sparse_ops.md#SparseTensor), + [class SparseTensorValue](sparse_ops.md#SparseTensorValue), + [shape](sparse_ops.md#shape), + [sparse_concat](sparse_ops.md#sparse_concat), + [sparse_fill_empty_rows](sparse_ops.md#sparse_fill_empty_rows), + [sparse_reorder](sparse_ops.md#sparse_reorder), + [sparse_retain](sparse_ops.md#sparse_retain), + [sparse_tensor_to_dense](sparse_ops.md#sparse_tensor_to_dense), + [sparse_to_dense](sparse_ops.md#sparse_to_dense), + [sparse_to_indicator](sparse_ops.md#sparse_to_indicator) + +* <b>[Inputs and Readers](io_ops.md)</b>: [class FIFOQueue](io_ops.md#FIFOQueue), + [class FixedLengthRecordReader](io_ops.md#FixedLengthRecordReader), + [class IdentityReader](io_ops.md#IdentityReader), + [class QueueBase](io_ops.md#QueueBase), + [class RandomShuffleQueue](io_ops.md#RandomShuffleQueue), + [class ReaderBase](io_ops.md#ReaderBase), + [class TFRecordReader](io_ops.md#TFRecordReader), + [class TextLineReader](io_ops.md#TextLineReader), + [class WholeFileReader](io_ops.md#WholeFileReader), + [batch](io_ops.md#batch), + [batch_join](io_ops.md#batch_join), + [decode_csv](io_ops.md#decode_csv), + [decode_raw](io_ops.md#decode_raw), + [limit_epochs](io_ops.md#limit_epochs), + [match_filenames_once](io_ops.md#match_filenames_once), + [matching_files](io_ops.md#matching_files), + [parse_example](io_ops.md#parse_example), + [parse_single_example](io_ops.md#parse_single_example), + [placeholder](io_ops.md#placeholder), + [range_input_producer](io_ops.md#range_input_producer), + [read_file](io_ops.md#read_file), + [shuffle_batch](io_ops.md#shuffle_batch), + [shuffle_batch_join](io_ops.md#shuffle_batch_join), + [size](io_ops.md#size), + [slice_input_producer](io_ops.md#slice_input_producer), + [string_input_producer](io_ops.md#string_input_producer) + +* <b>[Data IO (Python functions)](python_io.md)</b>: [class TFRecordWriter](python_io.md#TFRecordWriter), + [tf_record_iterator](python_io.md#tf_record_iterator) + +* <b>[Neural Network](nn.md)</b>: [avg_pool](nn.md#avg_pool), + [bias_add](nn.md#bias_add), + [compute_accidental_hits](nn.md#compute_accidental_hits), + [conv2d](nn.md#conv2d), + [depthwise_conv2d](nn.md#depthwise_conv2d), + [dropout](nn.md#dropout), + [embedding_lookup](nn.md#embedding_lookup), + [embedding_lookup_sparse](nn.md#embedding_lookup_sparse), + [fixed_unigram_candidate_sampler](nn.md#fixed_unigram_candidate_sampler), + [in_top_k](nn.md#in_top_k), + [l2_loss](nn.md#l2_loss), + [l2_normalize](nn.md#l2_normalize), + [learned_unigram_candidate_sampler](nn.md#learned_unigram_candidate_sampler), + [local_response_normalization](nn.md#local_response_normalization), + [log_uniform_candidate_sampler](nn.md#log_uniform_candidate_sampler), + [max_pool](nn.md#max_pool), + [max_pool_with_argmax](nn.md#max_pool_with_argmax), + [moments](nn.md#moments), + [nce_loss](nn.md#nce_loss), + [relu](nn.md#relu), + [relu6](nn.md#relu6), + [sampled_softmax_loss](nn.md#sampled_softmax_loss), + [separable_conv2d](nn.md#separable_conv2d), + [sigmoid](nn.md#sigmoid), + [sigmoid_cross_entropy_with_logits](nn.md#sigmoid_cross_entropy_with_logits), + [softmax](nn.md#softmax), + [softmax_cross_entropy_with_logits](nn.md#softmax_cross_entropy_with_logits), + [softplus](nn.md#softplus), + [tanh](nn.md#tanh), + [top_k](nn.md#top_k), + [uniform_candidate_sampler](nn.md#uniform_candidate_sampler) + +* <b>[Running Graphs](client.md)</b>: [class AbortedError](client.md#AbortedError), + [class AlreadyExistsError](client.md#AlreadyExistsError), + [class CancelledError](client.md#CancelledError), + [class DataLossError](client.md#DataLossError), + [class DeadlineExceededError](client.md#DeadlineExceededError), + [class FailedPreconditionError](client.md#FailedPreconditionError), + [class InternalError](client.md#InternalError), + [class InvalidArgumentError](client.md#InvalidArgumentError), + [class NotFoundError](client.md#NotFoundError), + [class OpError](client.md#OpError), + [class OutOfRangeError](client.md#OutOfRangeError), + [class PermissionDeniedError](client.md#PermissionDeniedError), + [class ResourceExhaustedError](client.md#ResourceExhaustedError), + [class Session](client.md#Session), + [class UnauthenticatedError](client.md#UnauthenticatedError), + [class UnavailableError](client.md#UnavailableError), + [class UnimplementedError](client.md#UnimplementedError), + [class UnknownError](client.md#UnknownError), + [get_default_session](client.md#get_default_session) + +* <b>[Training](train.md)</b>: [class AdagradOptimizer](train.md#AdagradOptimizer), + [class AdamOptimizer](train.md#AdamOptimizer), + [class AggregationMethod](train.md#AggregationMethod), + [class Coordinator](train.md#Coordinator), + [class ExponentialMovingAverage](train.md#ExponentialMovingAverage), + [class FtrlOptimizer](train.md#FtrlOptimizer), + [class GradientDescentOptimizer](train.md#GradientDescentOptimizer), + [class MomentumOptimizer](train.md#MomentumOptimizer), + [class Optimizer](train.md#Optimizer), + [class QueueRunner](train.md#QueueRunner), + [class RMSPropOptimizer](train.md#RMSPropOptimizer), + [class SummaryWriter](train.md#SummaryWriter), + [add_queue_runner](train.md#add_queue_runner), + [clip_by_average_norm](train.md#clip_by_average_norm), + [clip_by_global_norm](train.md#clip_by_global_norm), + [clip_by_norm](train.md#clip_by_norm), + [clip_by_value](train.md#clip_by_value), + [exponential_decay](train.md#exponential_decay), + [global_norm](train.md#global_norm), + [global_step](train.md#global_step), + [gradients](train.md#gradients), + [histogram_summary](train.md#histogram_summary), + [image_summary](train.md#image_summary), + [merge_all_summaries](train.md#merge_all_summaries), + [merge_summary](train.md#merge_summary), + [scalar_summary](train.md#scalar_summary), + [start_queue_runners](train.md#start_queue_runners), + [stop_gradient](train.md#stop_gradient), + [summary_iterator](train.md#summary_iterator), + [write_graph](train.md#write_graph), + [zero_fraction](train.md#zero_fraction) + +<div class="sections-order" style="display: none;"> +<!-- +<!-- framework.md --> +<!-- constant_op.md --> +<!-- state_ops.md --> +<!-- array_ops.md --> +<!-- math_ops.md --> +<!-- control_flow_ops.md --> +<!-- image.md --> +<!-- sparse_ops.md --> +<!-- io_ops.md --> +<!-- python_io.md --> +<!-- nn.md --> +<!-- client.md --> +<!-- train.md --> +--> +</div> |