@tensorflow-models/coco-ssd
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Object detection model (coco-ssd) in TensorFlow.js
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JavaScript
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/**
* @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.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("./index");
var jasmine_util_1 = require("./jasmine_util");
var tensor_1 = require("./tensor");
var test_util_1 = require("./test_util");
jasmine_util_1.describeWithFlags('variable', test_util_1.ALL_ENVS, function () {
it('simple assign', function () {
var v = tensor_1.variable(tf.tensor1d([1, 2, 3]));
test_util_1.expectArraysClose(v, [1, 2, 3]);
v.assign(tf.tensor1d([4, 5, 6]));
test_util_1.expectArraysClose(v, [4, 5, 6]);
});
it('simple chain assign', function () {
var v = tf.tensor1d([1, 2, 3]).variable();
test_util_1.expectArraysClose(v, [1, 2, 3]);
v.assign(tf.tensor1d([4, 5, 6]));
test_util_1.expectArraysClose(v, [4, 5, 6]);
});
it('default names are unique', function () {
var v = tensor_1.variable(tf.tensor1d([1, 2, 3]));
expect(v.name).not.toBeNull();
var v2 = tensor_1.variable(tf.tensor1d([1, 2, 3]));
expect(v2.name).not.toBeNull();
expect(v.name).not.toBe(v2.name);
});
it('user provided name', function () {
var v = tensor_1.variable(tf.tensor1d([1, 2, 3]), true, 'myName');
expect(v.name).toBe('myName');
});
it('if name already used, throw error', function () {
tensor_1.variable(tf.tensor1d([1, 2, 3]), true, 'myName');
expect(function () { return tensor_1.variable(tf.tensor1d([1, 2, 3]), true, 'myName'); })
.toThrowError();
});
it('ops can take variables', function () {
var value = tf.tensor1d([1, 2, 3]);
var v = tensor_1.variable(value);
var res = tf.sum(v);
test_util_1.expectArraysClose(res, [6]);
});
it('chained variables works', function () {
var v = tf.tensor1d([1, 2, 3]).variable();
var res = tf.sum(v);
test_util_1.expectArraysClose(res, [6]);
});
it('variables are not affected by tidy', function () {
var v;
expect(tf.memory().numTensors).toBe(0);
tf.tidy(function () {
var value = tf.tensor1d([1, 2, 3], 'float32');
expect(tf.memory().numTensors).toBe(1);
v = tensor_1.variable(value);
expect(tf.memory().numTensors).toBe(2);
});
expect(tf.memory().numTensors).toBe(1);
test_util_1.expectArraysClose(v, [1, 2, 3]);
v.dispose();
expect(tf.memory().numTensors).toBe(0);
});
it('constructor does not dispose', function () {
var a = tf.scalar(2);
var v = tf.variable(a);
expect(tf.memory().numTensors).toBe(2);
expect(tf.memory().numDataBuffers).toBe(1);
test_util_1.expectArraysClose(v, [2]);
test_util_1.expectArraysClose(a, [2]);
});
it('variables are assignable to tensors', function () {
// This test asserts compilation, not doing any run-time assertion.
var x0 = null;
var y0 = x0;
expect(y0).toBeNull();
var x1 = null;
var y1 = x1;
expect(y1).toBeNull();
var x2 = null;
var y2 = x2;
expect(y2).toBeNull();
var x3 = null;
var y3 = x3;
expect(y3).toBeNull();
var x4 = null;
var y4 = x4;
expect(y4).toBeNull();
var xh = null;
var yh = xh;
expect(yh).toBeNull();
});
it('assign does not dispose old data', function () {
var v;
v = tensor_1.variable(tf.tensor1d([1, 2, 3]));
expect(tf.memory().numTensors).toBe(2);
expect(tf.memory().numDataBuffers).toBe(1);
test_util_1.expectArraysClose(v, [1, 2, 3]);
var secondArray = tf.tensor1d([4, 5, 6]);
expect(tf.memory().numTensors).toBe(3);
expect(tf.memory().numDataBuffers).toBe(2);
v.assign(secondArray);
test_util_1.expectArraysClose(v, [4, 5, 6]);
// Assign doesn't dispose the 1st array.
expect(tf.memory().numTensors).toBe(3);
expect(tf.memory().numDataBuffers).toBe(2);
v.dispose();
// Disposing the variable disposes itself. The input to variable and
// secondArray are the only remaining tensors.
expect(tf.memory().numTensors).toBe(2);
expect(tf.memory().numDataBuffers).toBe(2);
});
it('shape must match', function () {
var v = tensor_1.variable(tf.tensor1d([1, 2, 3]));
expect(function () { return v.assign(tf.tensor1d([1, 2])); }).toThrowError();
// tslint:disable-next-line:no-any
expect(function () { return v.assign(tf.tensor2d([3, 4], [1, 2])); }).toThrowError();
});
it('dtype must match', function () {
var v = tensor_1.variable(tf.tensor1d([1, 2, 3]));
// tslint:disable-next-line:no-any
expect(function () { return v.assign(tf.tensor1d([1, 1, 1], 'int32')); })
.toThrowError();
// tslint:disable-next-line:no-any
expect(function () { return v.assign(tf.tensor1d([true, false, true], 'bool')); })
.toThrowError();
});
});
jasmine_util_1.describeWithFlags('x instanceof Variable', test_util_1.ALL_ENVS, function () {
it('x: Variable', function () {
var t = tf.variable(tf.scalar(1));
expect(t instanceof tensor_1.Variable).toBe(true);
});
it('x: Variable-like', function () {
var t = { assign: function () { }, shape: [2], dtype: 'float32', dataId: {} };
expect(t instanceof tensor_1.Variable).toBe(true);
});
it('x: other object, fails', function () {
var t = { something: 'else' };
expect(t instanceof tensor_1.Variable).toBe(false);
});
it('x: Tensor, fails', function () {
var t = tf.scalar(1);
expect(t instanceof tensor_1.Variable).toBe(false);
});
});
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