@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
91 lines • 4.09 kB
JavaScript
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("../index");
var test_util_1 = require("../test_util");
var jasmine_util_1 = require("../jasmine_util");
jasmine_util_1.describeWithFlags('conv2dTranspose', test_util_1.ALL_ENVS, function () {
it('input=2x2x1,d2=1,f=2,s=1,p=0', function () {
var origInputDepth = 1;
var origOutputDepth = 1;
var inputShape = [1, 1, origOutputDepth];
var fSize = 2;
var origPad = 0;
var origStride = 1;
var x = tf.tensor3d([2], inputShape);
var w = tf.tensor4d([3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);
var result = tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad);
var expected = [6, 2, 10, 0];
expect(result.shape).toEqual([2, 2, 1]);
test_util_1.expectArraysClose(result, expected);
});
it('input=2x2x1,d2=1,f=2,s=1,p=0, batch=2', function () {
var origInputDepth = 1;
var origOutputDepth = 1;
var inputShape = [2, 1, 1, origOutputDepth];
var fSize = 2;
var origPad = 0;
var origStride = 1;
var x = tf.tensor4d([2, 3], inputShape);
var w = tf.tensor4d([3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);
var result = tf.conv2dTranspose(x, w, [2, 2, 2, 1], origStride, origPad);
var expected = [6, 2, 10, 0, 9, 3, 15, 0];
expect(result.shape).toEqual([2, 2, 2, 1]);
test_util_1.expectArraysClose(result, expected);
});
it('throws when x is not rank 3', function () {
var origInputDepth = 1;
var origOutputDepth = 1;
var fSize = 2;
var origPad = 0;
var origStride = 1;
var x = tf.tensor2d([2, 2], [2, 1]);
var w = tf.tensor4d([3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);
expect(function () { return tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad); })
.toThrowError();
});
it('throws when weights is not rank 4', function () {
var origInputDepth = 1;
var origOutputDepth = 1;
var inputShape = [1, 1, origOutputDepth];
var fSize = 2;
var origPad = 0;
var origStride = 1;
var x = tf.tensor3d([2], inputShape);
var w = tf.tensor3d([3, 1, 5, 0], [fSize, fSize, origInputDepth]);
expect(function () { return tf.conv2dTranspose(x, w, [2, 2, 1], origStride, origPad); })
.toThrowError();
});
it('throws when x depth does not match weights original output depth', function () {
var origInputDepth = 1;
var origOutputDepth = 2;
var wrongOrigOutputDepth = 3;
var inputShape = [1, 1, origOutputDepth];
var fSize = 2;
var origPad = 0;
var origStride = 1;
var x = tf.tensor3d([2, 2], inputShape);
var w = tf.randomNormal([fSize, fSize, origInputDepth, wrongOrigOutputDepth]);
expect(function () { return tf.conv2dTranspose(x, w, [2, 2, 2], origStride, origPad); })
.toThrowError();
});
it('throws when passed x as a non-tensor', function () {
var origInputDepth = 1;
var origOutputDepth = 1;
var fSize = 2;
var origPad = 0;
var origStride = 1;
var w = tf.tensor4d([3, 1, 5, 0], [fSize, fSize, origInputDepth, origOutputDepth]);
expect(function () { return tf.conv2dTranspose({}, w, [2, 2, 1], origStride, origPad); })
.toThrowError(/Argument 'x' passed to 'conv2dTranspose' must be a Tensor/);
});
it('throws when passed filter as a non-tensor', function () {
var origOutputDepth = 1;
var inputShape = [1, 1, origOutputDepth];
var origPad = 0;
var origStride = 1;
var x = tf.tensor3d([2], inputShape);
expect(function () { return tf.conv2dTranspose(x, {}, [2, 2, 1], origStride, origPad); })
.toThrowError(/Argument 'filter' passed to 'conv2dTranspose' must be a Tensor/);
});
});
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