This project is a JavaScript library that converts single-precision floating-point numbers to half-precision floating-point numbers, part of the stdlib standard library focused on numerical computing. It's designed for developers working on web-based numerical computations who need to optimize storage or performance by using half-precision floats, such as in graphics processing or machine learning applications.
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Support the dependencies of stdlib-js/number-float32-base-to-float16
Difference between one and the smallest value greater than one that can be represented as a half-precision floating-point number.
Maximum half-precision floating-point number.
Smallest positive normalized half-precision floating-point number.
Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
Mask for the exponent of a single-precision floating-point number.
Number of significand bits for a single-precision floating-point number.
Single-precision floating-point positive infinity.
Mask for the sign bit of a single-precision floating-point number.
Mask for the significand of a single-precision floating-point number.
Test if a single-precision floating-point numeric value is finite.
Test if a single-precision floating-point numeric value is NaN.
Compute the absolute value of a single-precision floating-point number.
16-bit half-precision floating-point number.
Return an integer corresponding to the unbiased exponent of a single-precision floating-point number.
Convert a double-precision floating-point number to the nearest single-precision floating-point number.
Load a manifest for compiling source files.
Insert array element values and the result of a callback function into a format string and print the result.
Half-precision floating-point negative infinity.
Half-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is NaN.
Test if a double-precision floating-point numeric value is negative zero.
Create a half-precision floating-point number from an unsigned integer corresponding to an IEEE 754 binary representation.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
Create a function that invokes a provided function with specified arguments.
Wrap `require` in a try/catch block.
Proxies nodejs require in order to allow overriding dependencies during testing.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use ca
Minimal TAP output formatter.
Benchmark harness.
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