Пример #1
0
    def generate(cls, graph: Graph, **kwargs):
        graph, _ = WebGPUOptimizeRule().optimize(graph)
        if flags.DEBUG:
            traverse.dump(graph)

        memory_layout = allocate(graph)
        console.debug(f"[WebGPUDescriptorGenerator] memory_layout total size: {memory_layout.total_size * 4}[B]")
        console.debug(f"[WebGPUDescriptorGenerator] memory_layout static size: {memory_layout.static_size * 4}[B]")
        console.debug(f"[WebGPUDescriptorGenerator] memory_layout dynamic size: {memory_layout.dynamic_size * 4}[B]")

        constant_encoder = ConstantEncoder.get_encoder(kwargs.get("constant_encoder_name", None))
        constants_bytes = constant_encoder.encode(memory_layout)

        console.debug(f"[WebGPUDescriptorGenerator] constants encoded size: {len(constants_bytes)}[B]")

        kernels = cls.generate_kernels(graph, memory_layout)

        descriptor = GraphDescriptor(
            kernels=kernels,
            memory_layout=memory_layout,
            inputs=graph.inputs,
            outputs=graph.outputs,
            constants_encoding=constant_encoder.name,
            licenses=graph.licenses
        )

        if flags.optimize.VALIDATE_GENERATED_SOURCE:
            validate_kernel_source(descriptor)

        return GraphExecutionData(graph, descriptor, constants_bytes)
Пример #2
0
def validate_kernel_source(descriptor: GraphDescriptor):
    # FIXME: WebGPU supports multi shader languages, but this test supposes the language as METAL.

    source = descriptor.concat_kernel_sources()

    if os.name != 'posix':
        # os.name in mac is 'posix', and xcrun command is only in mac
        console.warning(
            "[WebGPUDescriptorGenerator] 'xcrun' command is not found. validation of generated source code in webgpu backend is "
            "skipped.")
        return

    with tmp.TemporaryDirectory() as tmpdir:
        source_path = path.join(tmpdir, "kernel.metal")
        lib_path = path.join(tmpdir, "kernel.air")

        with open(source_path, "w+") as f:
            f.write(source)

        try:
            result = subprocess.run([
                "xcrun", "-sdk", "macosx", "metal", source_path, "-o", lib_path
            ],
                                    stdout=subprocess.PIPE,
                                    stderr=subprocess.PIPE)

            if result.returncode == 0:
                if result.stderr == b"":
                    console.debug(
                        "[WebGPUDescriptorGenerator] Generated kernel source is valid."
                    )

                else:
                    console.warning(
                        "[WebGPUDescriptorGenerator] In validating kernel source, warnings are generated."
                    )
                    console.stderr(result.stderr.decode("utf-8"))

            else:
                console.error(
                    "[WebGPUDescriptorGenerator] Generated kernel source is invalid."
                )
                console.stderr(result.stderr.decode("utf-8"))
                exit(result.returncode)

        except FileNotFoundError:
            console.warning(
                "[WebGPUDescriptorGenerator] 'xcrun' command is not found. validation of generated source code in webgpu backend is "
                "skipped.")
            return
Пример #3
0
def validate_kernel_source(descriptor: GraphDescriptor):
    # FIXME: WebGPU supports multi shader languages, but this test supposes the language as METAL.

    source = descriptor.concat_kernel_sources()

    with tmp.TemporaryDirectory() as tmpdir:
        source_path = path.join(tmpdir, "kernel.metal")
        lib_path = path.join(tmpdir, "kernel.air")

        with open(source_path, "w+") as f:
            f.write(source)

        result = subprocess.run(
            ["xcrun", "-sdk", "macosx", "metal", source_path, "-o", lib_path])
        if result.returncode != 0:
            print("Generated kernel source is invalid.")
            exit(result.returncode)
Пример #4
0
def generate(graph: Graph,
             constant_encoder_name: str = None) -> GraphExecutionData:
    graph, _ = WebGPUOptimizeRule().optimize(graph)
    if flags.DEBUG:
        traverse.dump(graph)

    variables_layout, constants_layout, constants_data = Allocator.allocate(
        graph)

    constant_encoder = ConstantEncoder.get_encoder(constant_encoder_name)
    constants_bytes = constant_encoder.encode(constants_layout, constants_data)

    if flags.DEBUG:
        print(
            f"[GraphDescriptorGeneratorWebGPU] allocated constant-buffer size: {constants_layout.size * 4} [Byte]"
        )
        print(
            f"[GraphDescriptorGeneratorWebGPU]   encoded constant-buffer size: {len(constants_bytes)} [Byte]"
        )
        print(
            f"[GraphDescriptorGeneratorWebGPU] allocated variable-buffer size: {variables_layout.size * 4} [Byte]"
        )

    kernels = generate_kernels(graph, constants_layout, variables_layout)

    descriptor = GraphDescriptor(kernels=kernels,
                                 constants_layout=constants_layout,
                                 variables_layout=variables_layout,
                                 inputs=graph.inputs,
                                 outputs=graph.outputs,
                                 constants_encoding=constant_encoder.name,
                                 licenses=graph.licenses)

    if flags.optimize.VALIDATE_GENERATED_SOURCE:
        if flags.DEBUG:
            print(
                "[GraphDescriptorGeneratorWebGPU] validate generated kernel source"
            )

        validate_kernel_source(descriptor)

    return GraphExecutionData(descriptor, constants_bytes)