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| 1 | +/* Copyright 2020 The TensorFlow Authors. All Rights Reserved. |
| 2 | +
|
| 3 | +Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +you may not use this file except in compliance with the License. |
| 5 | +You may obtain a copy of the License at |
| 6 | +
|
| 7 | + http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +
|
| 9 | +Unless required by applicable law or agreed to in writing, software |
| 10 | +distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +See the License for the specific language governing permissions and |
| 13 | +limitations under the License. |
| 14 | +==============================================================================*/ |
| 15 | + |
| 16 | +//! Conversions from legacy formats. |
| 17 | +
|
| 18 | +use crate::proto::tensorboard as pb; |
| 19 | +use pb::{summary::value::Value, summary_metadata::PluginData}; |
| 20 | + |
| 21 | +const SCALARS_PLUGIN_NAME: &str = "scalars"; |
| 22 | + |
| 23 | +/// Determines the metadata for a time series given its first event. |
| 24 | +/// |
| 25 | +/// This fills in the plugin name and/or data class for legacy summaries for which those values are |
| 26 | +/// implied but not explicitly set. You should only need to call this function on the first event |
| 27 | +/// from each time series; doing so for subsequent events would be wasteful. |
| 28 | +/// |
| 29 | +/// Rules, in order of decreasing precedence: |
| 30 | +/// |
| 31 | +/// - If the initial metadata has a data class, it is taken as authoritative and returned |
| 32 | +/// verbatim. |
| 33 | +/// - If the summary value is of primitive type, an appropriate plugin metadata value is |
| 34 | +/// synthesized: e.g. a `simple_value` becomes metadata for the scalars plugin. Any existing |
| 35 | +/// metadata is ignored. |
| 36 | +/// - If the metadata has a known plugin name, the appropriate data class is added: e.g., a |
| 37 | +/// `"scalars"` metadata gets `DataClass::Scalar`. |
| 38 | +/// - Otherwise, the metadata is returned as is (or an empty metadata value synthesized if the |
| 39 | +/// given option was empty). |
| 40 | +pub fn initial_metadata( |
| 41 | + md: Option<pb::SummaryMetadata>, |
| 42 | + value: &Value, |
| 43 | +) -> Box<pb::SummaryMetadata> { |
| 44 | + fn blank(plugin_name: &str, data_class: pb::DataClass) -> Box<pb::SummaryMetadata> { |
| 45 | + Box::new(pb::SummaryMetadata { |
| 46 | + plugin_data: Some(PluginData { |
| 47 | + plugin_name: plugin_name.to_string(), |
| 48 | + ..Default::default() |
| 49 | + }), |
| 50 | + data_class: data_class.into(), |
| 51 | + ..Default::default() |
| 52 | + }) |
| 53 | + } |
| 54 | + |
| 55 | + match (md, value) { |
| 56 | + // Any summary metadata that sets its own data class is expected to already be in the right |
| 57 | + // form. |
| 58 | + (Some(md), _) if md.data_class != i32::from(pb::DataClass::Unknown) => Box::new(md), |
| 59 | + (_, Value::SimpleValue(_)) => blank(SCALARS_PLUGIN_NAME, pb::DataClass::Scalar), |
| 60 | + (Some(mut md), _) => { |
| 61 | + // Use given metadata, but first set data class based on plugin name, if known. |
| 62 | + #[allow(clippy::single_match)] // will have more patterns later |
| 63 | + match md.plugin_data.as_ref().map(|pd| pd.plugin_name.as_str()) { |
| 64 | + Some(SCALARS_PLUGIN_NAME) => { |
| 65 | + md.data_class = pb::DataClass::Scalar.into(); |
| 66 | + } |
| 67 | + _ => {} |
| 68 | + }; |
| 69 | + Box::new(md) |
| 70 | + } |
| 71 | + (None, _) => Box::new(pb::SummaryMetadata::default()), |
| 72 | + } |
| 73 | +} |
| 74 | + |
| 75 | +#[cfg(test)] |
| 76 | +mod tests { |
| 77 | + use super::*; |
| 78 | + |
| 79 | + fn tensor_shape(dims: &[i64]) -> pb::TensorShapeProto { |
| 80 | + pb::TensorShapeProto { |
| 81 | + dim: dims |
| 82 | + .iter() |
| 83 | + .map(|n| pb::tensor_shape_proto::Dim { |
| 84 | + size: *n, |
| 85 | + ..Default::default() |
| 86 | + }) |
| 87 | + .collect(), |
| 88 | + ..Default::default() |
| 89 | + } |
| 90 | + } |
| 91 | + |
| 92 | + mod scalars { |
| 93 | + use super::*; |
| 94 | + |
| 95 | + #[test] |
| 96 | + fn test_tf1x_simple_value() { |
| 97 | + let md = pb::SummaryMetadata { |
| 98 | + plugin_data: Some(PluginData { |
| 99 | + plugin_name: "ignored_plugin".to_string(), |
| 100 | + content: b"ignored_content".to_vec(), |
| 101 | + ..Default::default() |
| 102 | + }), |
| 103 | + ..Default::default() |
| 104 | + }; |
| 105 | + let v = Value::SimpleValue(0.125); |
| 106 | + let result = initial_metadata(Some(md), &v); |
| 107 | + |
| 108 | + assert_eq!( |
| 109 | + *result, |
| 110 | + pb::SummaryMetadata { |
| 111 | + plugin_data: Some(PluginData { |
| 112 | + plugin_name: SCALARS_PLUGIN_NAME.to_string(), |
| 113 | + ..Default::default() |
| 114 | + }), |
| 115 | + data_class: pb::DataClass::Scalar.into(), |
| 116 | + ..Default::default() |
| 117 | + } |
| 118 | + ); |
| 119 | + } |
| 120 | + |
| 121 | + #[test] |
| 122 | + fn test_tf2x_scalar_tensor_without_dataclass() { |
| 123 | + let md = pb::SummaryMetadata { |
| 124 | + plugin_data: Some(PluginData { |
| 125 | + plugin_name: SCALARS_PLUGIN_NAME.to_string(), |
| 126 | + content: b"preserved!".to_vec(), |
| 127 | + ..Default::default() |
| 128 | + }), |
| 129 | + ..Default::default() |
| 130 | + }; |
| 131 | + let v = Value::Tensor(pb::TensorProto { |
| 132 | + dtype: pb::DataType::DtFloat.into(), |
| 133 | + tensor_shape: Some(tensor_shape(&[])), |
| 134 | + float_val: vec![0.125], |
| 135 | + ..Default::default() |
| 136 | + }); |
| 137 | + let result = initial_metadata(Some(md), &v); |
| 138 | + |
| 139 | + assert_eq!( |
| 140 | + *result, |
| 141 | + pb::SummaryMetadata { |
| 142 | + plugin_data: Some(PluginData { |
| 143 | + plugin_name: SCALARS_PLUGIN_NAME.to_string(), |
| 144 | + content: b"preserved!".to_vec(), |
| 145 | + ..Default::default() |
| 146 | + }), |
| 147 | + data_class: pb::DataClass::Scalar.into(), |
| 148 | + ..Default::default() |
| 149 | + } |
| 150 | + ); |
| 151 | + } |
| 152 | + } |
| 153 | + |
| 154 | + mod unknown { |
| 155 | + use super::*; |
| 156 | + |
| 157 | + #[test] |
| 158 | + fn test_custom_plugin_with_dataclass() { |
| 159 | + let md = pb::SummaryMetadata { |
| 160 | + plugin_data: Some(PluginData { |
| 161 | + plugin_name: "myplugin".to_string(), |
| 162 | + content: b"mycontent".to_vec(), |
| 163 | + ..Default::default() |
| 164 | + }), |
| 165 | + data_class: pb::DataClass::Tensor.into(), |
| 166 | + ..Default::default() |
| 167 | + }; |
| 168 | + // Even with a `SimpleValue`, dataclass-annotated metadata passes through. |
| 169 | + let v = Value::SimpleValue(0.125); |
| 170 | + let expected = md.clone(); |
| 171 | + let result = initial_metadata(Some(md), &v); |
| 172 | + |
| 173 | + assert_eq!(*result, expected); |
| 174 | + } |
| 175 | + |
| 176 | + #[test] |
| 177 | + fn test_unknown_plugin_no_dataclass() { |
| 178 | + let md = pb::SummaryMetadata { |
| 179 | + plugin_data: Some(PluginData { |
| 180 | + plugin_name: "myplugin".to_string(), |
| 181 | + content: b"mycontent".to_vec(), |
| 182 | + ..Default::default() |
| 183 | + }), |
| 184 | + ..Default::default() |
| 185 | + }; |
| 186 | + let v = Value::Tensor(pb::TensorProto::default()); |
| 187 | + let expected = md.clone(); |
| 188 | + let result = initial_metadata(Some(md), &v); |
| 189 | + |
| 190 | + assert_eq!(*result, expected); |
| 191 | + } |
| 192 | + |
| 193 | + #[test] |
| 194 | + fn test_empty() { |
| 195 | + let v = Value::Tensor(pb::TensorProto::default()); |
| 196 | + let result = initial_metadata(None, &v); |
| 197 | + assert_eq!(*result, pb::SummaryMetadata::default()); |
| 198 | + } |
| 199 | + } |
| 200 | +} |
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