@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
440 lines • 21.4 kB
JavaScript
"use strict";
/**
* @license
* Copyright 2017 Google Inc. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
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 = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, 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 };
}
};
var _this = this;
Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("../index");
var jasmine_util_1 = require("../jasmine_util");
var test_util_1 = require("../test_util");
jasmine_util_1.describeWithFlags('transpose', jasmine_util_1.ALL_ENVS, function () {
it('of scalar is no-op', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(3);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.transpose(a).data()];
case 1:
_a.apply(void 0, [_b.sent(), [3]]);
return [2 /*return*/];
}
});
}); });
it('of 1D is no-op', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1, 2, 3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.transpose(a).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
return [2 /*return*/];
}
});
}); });
it('of scalar with perm of incorrect rank throws error', function () {
var a = tf.scalar(3);
var perm = [0]; // Should be empty array.
expect(function () { return tf.transpose(a, perm); }).toThrowError();
});
it('of 1d with perm out of bounds throws error', function () {
var a = tf.tensor1d([1, 2, 3]);
var perm = [1];
expect(function () { return tf.transpose(a, perm); }).toThrowError();
});
it('of 1d with perm incorrect rank throws error', function () {
var a = tf.tensor1d([1, 2, 3]);
var perm = [0, 0]; // Should be of length 1.
expect(function () { return tf.transpose(a, perm); }).toThrowError();
});
it('2D (no change)', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
t = tf.tensor2d([1, 11, 2, 22, 3, 33, 4, 44], [2, 4]);
t2 = tf.transpose(t, [0, 1]);
expect(t2.shape).toEqual(t.shape);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.array()];
case 1:
_b = [_c.sent()];
return [4 /*yield*/, t.array()];
case 2:
_a.apply(void 0, _b.concat([_c.sent()]));
return [2 /*return*/];
}
});
}); });
it('2D (transpose)', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor2d([1, 11, 2, 22, 3, 33, 4, 44], [2, 4]);
t2 = tf.transpose(t, [1, 0]);
expect(t2.shape).toEqual([4, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 3, 11, 33, 2, 4, 22, 44]]);
return [2 /*return*/];
}
});
}); });
it('2D, shape has ones', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor2d([1, 2, 3, 4], [1, 4]);
t2 = tf.transpose(t, [1, 0]);
expect(t2.shape).toEqual([4, 1]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3, 4]]);
return [2 /*return*/];
}
});
}); });
it('3D [r, c, d] => [d, r, c]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor3d([1, 11, 2, 22, 3, 33, 4, 44], [2, 2, 2]);
t2 = tf.transpose(t, [2, 0, 1]);
expect(t2.shape).toEqual([2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3, 4, 11, 22, 33, 44]]);
return [2 /*return*/];
}
});
}); });
it('3D [r, c, d] => [d, c, r]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor3d([1, 11, 2, 22, 3, 33, 4, 44], [2, 2, 2]);
t2 = tf.transpose(t, [2, 1, 0]);
expect(t2.shape).toEqual([2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 3, 2, 4, 11, 33, 22, 44]]);
return [2 /*return*/];
}
});
}); });
it('3D [r, c, d] => [d, r, c], shape has ones', function () { return __awaiter(_this, void 0, void 0, function () {
var perm, t, tt, _a, t2, tt2, _b, t3, tt3, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
perm = [2, 0, 1];
t = tf.tensor3d([1, 2, 3, 4], [2, 1, 2]);
tt = tf.transpose(t, perm);
expect(tt.shape).toEqual([2, 2, 1]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tt.data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 3, 2, 4]]);
t2 = tf.tensor3d([1, 2, 3, 4], [2, 2, 1]);
tt2 = tf.transpose(t2, perm);
expect(tt2.shape).toEqual([1, 2, 2]);
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tt2.data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 2, 3, 4]]);
t3 = tf.tensor3d([1, 2, 3, 4], [1, 2, 2]);
tt3 = tf.transpose(t3, perm);
expect(tt3.shape).toEqual([2, 1, 2]);
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tt3.data()];
case 3:
_c.apply(void 0, [_d.sent(), [1, 3, 2, 4]]);
return [2 /*return*/];
}
});
}); });
it('3D [r, c, d] => [r, d, c]', function () { return __awaiter(_this, void 0, void 0, function () {
var perm, t, tt, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
perm = [0, 2, 1];
t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
tt = tf.transpose(t, perm);
expect(tt.shape).toEqual([2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tt.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 3, 2, 4, 5, 7, 6, 8]]);
return [2 /*return*/];
}
});
}); });
it('5D [r, c, d, e, f] => [r, c, d, f, e]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor5d(new Array(32).fill(0).map(function (x, i) { return i + 1; }), [2, 2, 2, 2, 2]);
t2 = tf.transpose(t, [0, 1, 2, 4, 3]);
expect(t2.shape).toEqual([2, 2, 2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(), [
1, 3, 2, 4, 5, 7, 6, 8, 9, 11, 10, 12, 13, 15, 14, 16,
17, 19, 18, 20, 21, 23, 22, 24, 25, 27, 26, 28, 29, 31, 30, 32
]]);
return [2 /*return*/];
}
});
}); });
it('4D [r, c, d, e] => [c, r, d, e]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor4d(new Array(16).fill(0).map(function (x, i) { return i + 1; }), [2, 2, 2, 2]);
t2 = tf.transpose(t, [1, 0, 2, 3]);
expect(t2.shape).toEqual([2, 2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(),
[1, 2, 3, 4, 9, 10, 11, 12, 5, 6, 7, 8, 13, 14, 15, 16]]);
return [2 /*return*/];
}
});
}); });
it('4D [r, c, d, e] => [c, r, e, d]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor4d(new Array(16).fill(0).map(function (x, i) { return i + 1; }), [2, 2, 2, 2]);
t2 = tf.transpose(t, [1, 0, 3, 2]);
expect(t2.shape).toEqual([2, 2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(),
[1, 3, 2, 4, 9, 11, 10, 12, 5, 7, 6, 8, 13, 15, 14, 16]]);
return [2 /*return*/];
}
});
}); });
it('4D [r, c, d, e] => [e, r, c, d]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor4d(new Array(16).fill(0).map(function (x, i) { return i + 1; }), [2, 2, 2, 2]);
t2 = tf.transpose(t, [3, 0, 1, 2]);
expect(t2.shape).toEqual([2, 2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(),
[1, 3, 5, 7, 9, 11, 13, 15, 2, 4, 6, 8, 10, 12, 14, 16]]);
return [2 /*return*/];
}
});
}); });
it('4D [r, c, d, e] => [d, c, e, r]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor4d(new Array(16).fill(0).map(function (x, i) { return i + 1; }), [2, 2, 2, 2]);
t2 = tf.transpose(t, [2, 1, 3, 0]);
expect(t2.shape).toEqual([2, 2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(),
[1, 9, 2, 10, 5, 13, 6, 14, 3, 11, 4, 12, 7, 15, 8, 16]]);
return [2 /*return*/];
}
});
}); });
it('5D [r, c, d, e, f] => [c, r, d, e, f]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor5d(new Array(32).fill(0).map(function (x, i) { return i + 1; }), [2, 2, 2, 2, 2]);
t2 = tf.transpose(t, [1, 0, 2, 3, 4]);
expect(t2.shape).toEqual([2, 2, 2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(), [
1, 2, 3, 4, 5, 6, 7, 8, 17, 18, 19, 20, 21, 22, 23, 24,
9, 10, 11, 12, 13, 14, 15, 16, 25, 26, 27, 28, 29, 30, 31, 32
]]);
return [2 /*return*/];
}
});
}); });
it('6D [r, c, d, e, f] => [r, c, d, f, e]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor6d(new Array(64).fill(0).map(function (x, i) { return i + 1; }), [2, 2, 2, 2, 2, 2]);
t2 = tf.transpose(t, [0, 1, 2, 3, 5, 4]);
expect(t2.shape).toEqual([2, 2, 2, 2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(), [
1, 3, 2, 4, 5, 7, 6, 8, 9, 11, 10, 12, 13, 15, 14, 16,
17, 19, 18, 20, 21, 23, 22, 24, 25, 27, 26, 28, 29, 31, 30, 32,
33, 35, 34, 36, 37, 39, 38, 40, 41, 43, 42, 44, 45, 47, 46, 48,
49, 51, 50, 52, 53, 55, 54, 56, 57, 59, 58, 60, 61, 63, 62, 64
]]);
return [2 /*return*/];
}
});
}); });
it('6D [r, c, d, e, f, g] => [c, r, d, e, f, g]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t2, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor6d(new Array(64).fill(0).map(function (x, i) { return i + 1; }), [2, 2, 2, 2, 2, 2]);
t2 = tf.transpose(t, [1, 0, 2, 3, 4, 5]);
expect(t2.shape).toEqual([2, 2, 2, 2, 2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t2.data()];
case 1:
_a.apply(void 0, [_b.sent(), [
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32,
49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64
]]);
return [2 /*return*/];
}
});
}); });
it('gradient 3D [r, c, d] => [d, c, r]', function () { return __awaiter(_this, void 0, void 0, function () {
var t, perm, dy, dt, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor3d([1, 11, 2, 22, 3, 33, 4, 44], [2, 2, 2]);
perm = [2, 1, 0];
dy = tf.tensor3d([111, 211, 121, 221, 112, 212, 122, 222], [2, 2, 2]);
dt = tf.grad(function (t) { return t.transpose(perm); })(t, dy);
expect(dt.shape).toEqual(t.shape);
expect(dt.dtype).toEqual('float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, dt.data()];
case 1:
_a.apply(void 0, [_b.sent(), [111, 112, 121, 122, 211, 212, 221, 222]]);
return [2 /*return*/];
}
});
}); });
it('gradient with clones', function () { return __awaiter(_this, void 0, void 0, function () {
var t, perm, dy, dt, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = tf.tensor3d([1, 11, 2, 22, 3, 33, 4, 44], [2, 2, 2]);
perm = [2, 1, 0];
dy = tf.tensor3d([111, 211, 121, 221, 112, 212, 122, 222], [2, 2, 2]);
dt = tf.grad(function (t) { return t.clone().transpose(perm).clone(); })(t, dy);
expect(dt.shape).toEqual(t.shape);
expect(dt.dtype).toEqual('float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, dt.data()];
case 1:
_a.apply(void 0, [_b.sent(), [111, 112, 121, 122, 211, 212, 221, 222]]);
return [2 /*return*/];
}
});
}); });
it('throws when passed a non-tensor', function () {
expect(function () { return tf.transpose({}); })
.toThrowError(/Argument 'x' passed to 'transpose' must be a Tensor/);
});
it('accepts a tensor-like object', function () { return __awaiter(_this, void 0, void 0, function () {
var t, res, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
t = [[1, 11, 2, 22], [3, 33, 4, 44]];
res = tf.transpose(t, [1, 0]);
expect(res.shape).toEqual([4, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, res.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 3, 11, 33, 2, 4, 22, 44]]);
return [2 /*return*/];
}
});
}); });
});
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