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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); var jasmine_util_1 = require("../jasmine_util"); var test_util_1 = require("../test_util"); var slice_util_1 = require("./slice_util"); jasmine_util_1.describeWithFlags('isSliceContinous', test_util_1.ALL_ENVS, function () { it('[] => []', function () { var shape = []; var size = []; var begin = []; expect(slice_util_1.isSliceContinous(shape, begin, size)).toBeTruthy(); }); it('[5] sliced to [3]', function () { var shape = [5]; var size = [3]; var begin = [1]; expect(slice_util_1.isSliceContinous(shape, begin, size)).toBeTruthy(); }); it('[5, 3] sliced to [2, 3] skipping a row', function () { var shape = [5, 3]; var size = [2, 3]; var begin = [1, 0]; expect(slice_util_1.isSliceContinous(shape, begin, size)).toBeTruthy(); }); it('[5, 3] sliced to [5, 2] skipping a column', function () { var shape = [5, 3]; var size = [5, 2]; var begin = [0, 1]; expect(slice_util_1.isSliceContinous(shape, begin, size)).toBeFalsy(); }); it('[5, 3] sliced to [1, 2] skipping a row and column', function () { var shape = [5, 3]; var size = [1, 2]; var begin = [2, 1]; expect(slice_util_1.isSliceContinous(shape, begin, size)).toBeTruthy(); }); it('[1, 5, 3] sliced to [1, 2, 3], skipping middle axis', function () { var shape = [1, 5, 3]; var size = [1, 2, 3]; var begin = [0, 2, 0]; expect(slice_util_1.isSliceContinous(shape, begin, size)).toBeTruthy(); }); it('[2, 5, 3] sliced to [2, 2, 3], skipping middle axis', function () { var shape = [2, 5, 3]; var size = [2, 2, 3]; var begin = [0, 2, 0]; expect(slice_util_1.isSliceContinous(shape, begin, size)).toBeFalsy(); }); }); //# sourceMappingURL=slice_util_test.js.map