@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
;
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
return c > 3 && r && Object.defineProperty(target, key, r), r;
};
Object.defineProperty(exports, "__esModule", { value: true });
var doc_1 = require("../doc");
var environment_1 = require("../environment");
var util = require("../util");
var axis_util = require("./axis_util");
var operation_1 = require("./operation");
var TransposeOps = (function () {
function TransposeOps() {
}
TransposeOps.transpose = function (x, perm) {
util.assertArgumentsAreTensors({ x: x }, 'transpose');
if (perm == null) {
perm = x.shape.map(function (s, i) { return i; }).reverse();
}
var der = function (dy) {
var undoPerm = axis_util.getUndoAxesPermutation(perm);
return { x: function () { return dy.transpose(undoPerm); } };
};
util.assert(x.rank === perm.length, "Error in transpose: rank of input " + x.rank + " " +
("must match length of perm " + perm + "."));
return environment_1.ENV.engine.runKernel(function (backend) { return backend.transpose(x, perm); }, { x: x }, der);
};
__decorate([
doc_1.doc({ heading: 'Operations', subheading: 'Matrices' }),
operation_1.operation
], TransposeOps, "transpose", null);
return TransposeOps;
}());
exports.TransposeOps = TransposeOps;