@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
42 lines • 2.02 kB
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;
};
import { doc } from '../doc';
import { ENV } from '../environment';
import * as util from '../util';
import * as axis_util from './axis_util';
import { operation } from './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();
}
util.assert(x.rank === perm.length, "Error in transpose: rank of input " + x.rank + " " +
("must match length of perm " + perm + "."));
perm.forEach(function (axis) {
util.assert(axis >= 0 && axis < x.rank, "All entries in 'perm' must be between 0 and " + (x.rank - 1) +
(" but got " + perm));
});
if (x.rank <= 1) {
return x.clone();
}
var der = function (dy) {
var undoPerm = axis_util.getUndoAxesPermutation(perm);
return { x: function () { return dy.transpose(undoPerm); } };
};
return ENV.engine.runKernel(function (backend) { return backend.transpose(x, perm); }, { x: x }, der);
};
__decorate([
doc({ heading: 'Operations', subheading: 'Matrices' }),
operation
], TransposeOps, "transpose", null);
return TransposeOps;
}());
export { TransposeOps };
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