node_modules/@tensorflow/tfjs-data/dist/tf-data.js
/**
     * Given the full size of the array and a shape that may contain -1 as the
     * implicit dimension, returns the inferred shape where -1 is replaced.
     * E.g. For shape=[2, -1, 3] and size=24, it will return [2, 4, 3].
     *
     * @param shape The shape, which may contain -1 in some dimension.
     * @param size The full size (number of elements) of the array.
     * @return The inferred shape where -1 is replaced with the inferred size.
     */
Given the full size of the array and a shape that may contain -1 as the
implicit dimension, returns the inferred shape where -1 is replaced.

@param shape The shape, which may contain -1 in some dimension.
@param size The full size (number of elements) of the array.
@return The inferred shape where -1 is replaced with the inferred size.
Given the full size of the array and a shape that may contain - 1 as the implicit dimension returns the inferred shape where - 1 is replaced . @param shape The shape which may contain - 1 in some dimension . @param size The full size ( number of elements ) of the array . @return The inferred shape where - 1 is replaced with the inferred size .
function inferFromImplicitShape(shape, size) {
        var shapeProd = 1;
        var implicitIdx = -1;
        for (var i = 0; i < shape.length; ++i) {
            if (shape[i] >= 0) {
                shapeProd *= shape[i];
            }
            else if (shape[i] === -1) {
                if (implicitIdx !== -1) {
                    throw Error("Shapes can only have 1 implicit size. " +
                        ("Found -1 at dim " + implicitIdx + " and dim " + i));
                }
                implicitIdx = i;
            }
            else if (shape[i] < 0) {
                throw Error("Shapes can not be < 0. Found " + shape[i] + " at dim " + i);
            }
        }
        if (implicitIdx === -1) {
            if (size > 0 && size !== shapeProd) {
                throw Error("Size(" + size + ") must match the product of shape " + shape);
            }
            return shape;
        }
        if (shapeProd === 0) {
            throw Error("Cannot infer the missing size in [" + shape + "] when " +
                "there are 0 elements");
        }
        if (size % shapeProd !== 0) {
            throw Error("The implicit shape can't be a fractional number. " +
                ("Got " + size + " / " + shapeProd));
        }
        var newShape = shape.slice();
        newShape[implicitIdx] = size / shapeProd;
        return newShape;
    }
function inferFromImplicitShape ( shape , size ) { var shapeProd = 1 ; var implicitIdx = - 1 ; for ( var i = 0 ; i < shape . length ; ++ i ) { if ( shape [ i ] >= 0 ) { shapeProd *= shape [ i ] ; } else if ( shape [ i ] === - 1 ) { if ( implicitIdx !== - 1 ) { throw Error ( "Shapes can only have 1 implicit size. " + ( "Found -1 at dim " + implicitIdx + " and dim " + i ) ) ; } implicitIdx = i ; } else if ( shape [ i ] < 0 ) { throw Error ( "Shapes can not be < 0. Found " + shape [ i ] + " at dim " + i ) ; } } if ( implicitIdx === - 1 ) { if ( size > 0 && size !== shapeProd ) { throw Error ( "Size(" + size + ") must match the product of shape " + shape ) ; } return shape ; } if ( shapeProd === 0 ) { throw Error ( "Cannot infer the missing size in [" + shape + "] when " + "there are 0 elements" ) ; } if ( size % shapeProd !== 0 ) { throw Error ( "The implicit shape can't be a fractional number. " + ( "Got " + size + " / " + shapeProd ) ) ; } var newShape = shape . slice ( ) ; newShape [ implicitIdx ] = size / shapeProd ; return newShape ; }
Given the full size of the array and a shape that may contain -1 as the
 implicit dimension, returns the inferred shape where -1 is replaced.
Given the full size of the array and a shape that may contain - 1 as the implicit dimension returns the inferred shape where - 1 is replaced .