text: "use strict";
  var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
      return new (P || (P = Promise))(function (resolve, reject) {
          function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
          function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
          function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
          step((generator = generator.apply(thisArg, _arguments || [])).next());
      });
  };
  var __generator = (this && this.__generator) || function (thisArg, body) {
      var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
      return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
      function verb(n) { return function (v) { return step([n, v]); }; }
      function step(op) {
          if (f) throw new TypeError("Generator is already executing.");
          while (_) try {
              if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
              if (y = 0, t) op = [0, t.value];
              switch (op[0]) {
                  case 0: case 1: t = op; break;
                  case 4: _.label++; return { value: op[1], done: false };
                  case 5: _.label++; y = op[1]; op = [0]; continue;
                  case 7: op = _.ops.pop(); _.trys.pop(); continue;
                  default:
                      if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
                      if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
                      if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
                      if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
                      if (t[2]) _.ops.pop();
                      _.trys.pop(); continue;
              }
              op = body.call(thisArg, _);
          } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
          if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
      }
  };
  Object.defineProperty(exports, "__esModule", { value: true });
  var tfc = require("@tensorflow/tfjs-core");
  var compiled_api_1 = require("../data/compiled_api");
  var operation_mapper_1 = require("../operations/operation_mapper");
  var graph_executor_1 = require("./graph_executor");
  var FrozenModel = (function () {
      function FrozenModel(modelUrl, weightManifestUrl, requestOption) {
          this.modelUrl = modelUrl;
          this.weightManifestUrl = weightManifestUrl;
          this.requestOption = requestOption;
          this.version = 'n/a';
      }
      Object.defineProperty(FrozenModel.prototype, "modelVersion", {
          get: function () {
              return this.version;
          },
          enumerable: true,
          configurable: true
      });
      Object.defineProperty(FrozenModel.prototype, "inputNodes", {
          get: function () {
              return this.executor.inputNodes;
          },
          enumerable: true,
          configurable: true
      });
      Object.defineProperty(FrozenModel.prototype, "outputNodes", {
          get: function () {
              return this.executor.outputNodes;
          },
          enumerable: true,
          configurable: true
      });
      Object.defineProperty(FrozenModel.prototype, "inputs", {
          get: function () {
              return this.executor.inputs;
          },
          enumerable: true,
          configurable: true
      });
      Object.defineProperty(FrozenModel.prototype, "outputs", {
          get: function () {
              return this.executor.outputs;
          },
          enumerable: true,
          configurable: true
      });
      Object.defineProperty(FrozenModel.prototype, "weights", {
          get: function () {
              return this.executor.weightMap;
          },
          enumerable: true,
          configurable: true
      });
      FrozenModel.prototype.findIOHandler = function () {
          var path = [this.modelUrl, this.weightManifestUrl];
          if (this.requestOption) {
              this.handler = tfc.io.browserHTTPRequest(path, this.requestOption);
          }
          else {
              var handlers = tfc.io.getLoadHandlers(path);
              if (handlers.length === 0) {
                  handlers.push(tfc.io.browserHTTPRequest(path, this.requestOption));
              }
              else if (handlers.length > 1) {
                  throw new Error("Found more than one (" + handlers.length + ") load handlers for " +
                      ("URL '" + [path] + "'"));
              }
              this.handler = handlers[0];
          }
      };
      FrozenModel.prototype.load = function () {
          return __awaiter(this, void 0, void 0, function () {
              var artifacts, graph, weightMap;
              return __generator(this, function (_a) {
                  switch (_a.label) {
                      case 0:
                          this.findIOHandler();
                          if (this.handler.load == null) {
                              throw new Error('Cannot proceed with model loading because the IOHandler provided ' +
                                  'does not have the `load` method implemented.');
                          }
                          return [4, this.handler.load()];
                      case 1:
                          artifacts = _a.sent();
                          graph = compiled_api_1.tensorflow.GraphDef.decode(new Uint8Array(artifacts.modelTopology));
                          this.version = graph.versions.producer + "." + graph.versions.minConsumer;
                          weightMap = tfc.io.decodeWeights(artifacts.weightData, artifacts.weightSpecs);
                          this.executor =
                              new graph_executor_1.GraphExecutor(operation_mapper_1.OperationMapper.Instance.transformGraph(graph));
                          this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);
                          return [2, true];
                  }
              });
          });
      };
      FrozenModel.prototype.predict = function (inputs, config) {
          return this.execute(inputs, this.outputNodes);
      };
      FrozenModel.prototype.constructTensorMap = function (inputs) {
          var inputArray = inputs instanceof tfc.Tensor ? [inputs] : inputs;
          if (inputArray.length !== this.inputNodes.length) {
              throw new Error('Input tensor count mismatch,' +
                  ("the frozen model has " + this.inputNodes.length + " placeholders, ") +
                  ("while there are " + inputArray.length + " input tensors."));
          }
          return this.inputNodes.reduce(function (map, inputName, i) {
              map[inputName] = inputArray[i];
              return map;
          }, {});
      };
      FrozenModel.prototype.execute = function (inputs, outputs) {
          outputs = outputs || this.outputNodes;
          if (inputs instanceof tfc.Tensor || Array.isArray(inputs)) {
              inputs = this.constructTensorMap(inputs);
          }
          if (this.executor.isControlFlowModel || this.executor.isDynamicShapeModel) {
              throw new Error('The model contains control flow or dynamic shape ops, ' +
                  'please use executeAsync method');
          }
          var result = this.executor.execute(this.convertTensorMapToTensorsMap(inputs), outputs);
          var keys = Object.keys(result);
          return (Array.isArray(outputs) && outputs.length > 1) ?
              outputs.map(function (node) { return result[node]; }) :
              result[keys[0]];
      };
      FrozenModel.prototype.executeAsync = function (inputs, outputs) {
          return __awaiter(this, void 0, void 0, function () {
              var result, keys;
              return __generator(this, function (_a) {
                  switch (_a.label) {
                      case 0:
                          if (!(this.executor.isControlFlowModel ||
                              this.executor.isDynamicShapeModel)) {
                              throw new Error('The model does not contain control flow or dynamic shape ops, ' +
                                  'please use execute method for better performance.');
                          }
                          outputs = outputs || this.outputNodes;
                          if (inputs instanceof tfc.Tensor || Array.isArray(inputs)) {
                              inputs = this.constructTensorMap(inputs);
                          }
                          return [4, this.executor.executeAsync(this.convertTensorMapToTensorsMap(inputs), outputs)];
                      case 1:
                          result = _a.sent();
                          keys = Object.keys(result);
                          return [2, Array.isArray(outputs) && outputs.length > 1 ?
                                  outputs.map(function (node) { return result[node]; }) :
                                  result[keys[0]]];
                  }
              });
          });
      };
      FrozenModel.prototype.convertTensorMapToTensorsMap = function (map) {
          return Object.keys(map).reduce(function (newMap, key) {
              newMap[key] = [map[key]];
              return newMap;
          }, {});
      };
      FrozenModel.prototype.dispose = function () {
          this.executor.dispose();
      };
      return FrozenModel;
  }());
  exports.FrozenModel = FrozenModel;
  function loadFrozenModel(modelUrl, weightsManifestUrl, requestOption) {
      return __awaiter(this, void 0, void 0, function () {
          var model;
          return __generator(this, function (_a) {
              switch (_a.label) {
                  case 0:
                      model = new FrozenModel(modelUrl, weightsManifestUrl, requestOption);
                      return [4, model.load()];
                  case 1:
                      _a.sent();
                      return [2, model];
              }
          });
      });
  }
  exports.loadFrozenModel = loadFrozenModel;
  //# sourceMappingURL=frozen_model.js.map