1Vh92hdZddlZddlmZddlmZddlm Z ddl m Z ddl m Z dZ d d Zd d Zdd Zy)aHistogram summaries and TensorFlow operations to create them, V2 versions. A histogram summary stores a list of buckets. Each bucket is encoded as a triple `[left_edge, right_edge, count]`. Thus, a full histogram is encoded as a tensor of dimension `[k, 3]`, where the first `k - 1` buckets are closed-open and the last bucket is closed-closed. In general, the shape of the output histogram is always constant (`[k, 3]`). In the case of empty data, the output will be an all-zero histogram of shape `[k, 3]`, where all edges and counts are zeros. If there is data but all points have the same value, then all buckets' left and right edges are the same and only the last bucket has nonzero count. N)tf2) summary_pb2)metadata)lazy_tensor_creator) tensor_utilcF|tn|}tj|jj t }|dk(s|j dk(rtj|df}ntj|}tj|}||z }|dk(rmtj|g|zx} } tjdg|dz z|j gz} tj| | | gj}n$||z } ||z } tj| | z j t}tj||dz }tj|gjtjd|k(}|j|j |fk(sJ|j|j |fftj |d} tj"|||dz}|dd} |dd} tj| | | gj}t%j&|tj(}t+j,d|}t/j0}|j2j5||| |S) aCreate a histogram summary protobuf. Arguments: tag: String tag for the summary. data: A `np.array` or array-like form of any shape. Must have type castable to `float`. buckets: Optional positive `int`. The output shape will always be [buckets, 3]. If there is no data, then an all-zero array of shape [buckets, 3] will be returned. If there is data but all points have the same value, then all buckets' left and right endpoints are the same and only the last bucket has nonzero count. Defaults to 30 if not specified. description: Optional long-form description for this summary, as a `str`. Markdown is supported. Defaults to empty. Returns: A `summary_pb2.Summary` protobuf object. Nr)axisdtype display_name description)tagrtensor)DEFAULT_BUCKET_COUNTnparrayflattenastypefloatsizezerosminmax transposefloorintminimumarangeshapesumlinspacermake_tensor_protofloat64rcreate_summary_metadatarSummaryvalueadd)rdatabucketsr bucket_counthistogram_bucketsmin_max_range_ left_edges right_edges bucket_counts bucket_widthoffsetsbucket_indicesclamped_indicesone_hotsedgesrsummary_metadatasummarys X/home/dcms/DCMS/lib/python3.12/site-packages/tensorboard/plugins/histogram/summary_v2.py histogram_pbr@)sV&,3?'L 88D> ! ! # * *5 1DqDIINHHlA%67vvd|vvd| Q;')xx0E'F FJHHaSL1,<%= %KLM "[-8!ik "L0LTkGXXg &<=DDSIN jj9IJOxx 12<<>"))<CH>>dii%>> L)A >FF8!4MKKdL1,<=EsJ)K "[-8!ik  * *+.lazy_tensorsD'* *rA)rrstepr) tf stop_gradientrr)getattrr> experimentalrCrLazyTensorCreatorwrite) namer-rJr.rr=rCr_rIs ` ` r? histogramrShsL   D !D77{  ''$? $ :: # #  !4$*?  #q  . . + / +zz%      s >?CCcttjd5tjj tjj tj tjjdtjdgtjtjtjtjtjdtjd}fd}fd}tj |||cdddS#1swYyxYw) aCreate a TensorFlow op to group data into histogram buckets. Arguments: data: A `Tensor` of any shape. Must be castable to `float64`. bucket_count: Optional non-negative `int` or scalar `int32` `Tensor`, defaults to 30. Returns: A `Tensor` of shape `[k, 3]` and type `float64`. The `i`th row is a triple `[left_edge, right_edge, count]` for a single bucket. The value of `k` is either `bucket_count` or `0` (when input data is empty). Nr.rr )r$)inputcRtjdftjS)a6When input data is empty or bucket_count is zero. 1. If bucket_count is specified as zero, an empty tensor of shape (0, 3) will be returned. 2. If the input data is empty, a tensor of shape (bucket_count, 3) of all zero values will be returned. r r)rKrr()r/sr? when_emptyz_buckets..when_emptys88\1-RZZ@ @rActjtjz tjd}fd}fd}tj|||S)N) input_tensorrc tj tjz } z }tjtj||z tj}tj | dz }tj | tj}tjtj|dtj}tj dz}tj|dd ggd}|dd}|dd}tjtj|||gS) z)When input data contains multiple values.rr )depthrr)rYr Nr a) rKcastr(r int32r"one_hot reduce_sumr&concatrstack)r7r8r9r:r;r6r<r4r5r/r-r2r1r3s r?when_multiple_valuesz=_buckets..when_nonempty..when_multiple_valuess% bjj(II +!#HHW|34BHH"#%**^\A=M"N::#.when_nonempty..when_single_values5,3 "IIvcr{YK8!<]lK**! ||bhhum/L&MNNrA)rK reduce_min reduce_maxequalcond) has_single_valuerdrir2r1r3r/r-rhs @@@r? when_nonemptyz_buckets..when_nonemptyse==d3D==d3DD[F!xx2   8 O77 "35I rA)rrK name_scope debugging assert_scalar assert_typer_mathmaximumreshaper^r(r logical_orrl less_equalrm)r-r/is_emptyrWrorhs`` @r?rHrHs+ y !J< ""<0   rxx8wwq,7 zz$rd+wwtRZZ(GG$' == HHY "BMM,$B  A2 hwwx];UJ<J<Jrs9 (020(;~a HY