def test_arb_example_std140(self):
layout = Layout.STD430
struct_a = Struct(
[
Scalar.int(),
Vector.uvec2() # actually bvec2
],
layout,
type_name="structA")
struct_b = Struct([
Vector.uvec3(),
Vector.vec2(),
Array(Scalar.float(), 2, layout),
Vector.vec2(),
Array(Matrix(3, 3, DataType.FLOAT, layout), 2, layout)
],
layout,
type_name="structB")
container = Struct([
Scalar.float(),
Vector.vec2(),
Vector.vec3(), struct_a,
Scalar.float(),
Array(Scalar.float(), 2, layout),
Matrix(2, 3, DataType.FLOAT, layout),
Array(struct_b, 2, layout)
], layout)
self.run_test(container, [struct_a, struct_b],
BufferUsage.STORAGE_BUFFER)
def test_scalars_and_vectors(self):
rng = np.random.RandomState(123)
variables = [
Scalar.uint(),
Scalar.int(),
Scalar.float(),
Scalar.double()
]
variables += [
Vector(n, dtype)
for n, dtype in itertools.product(range(2, 5), DataType.ALL)
]
containers_std140 = [Struct(variables, Layout.STD140)]
containers_std430 = [Struct(variables, Layout.STD430)]
for _ in range(5):
containers_std140.append(
Struct(rng.permutation(variables), Layout.STD140))
containers_std430.append(
Struct(rng.permutation(variables), Layout.STD430))
for container in containers_std140:
self.run_test(container, [], BufferUsage.STORAGE_BUFFER)
self.run_test(container, [], BufferUsage.UNIFORM_BUFFER)
for container in containers_std430:
self.run_test(container, [], BufferUsage.STORAGE_BUFFER)
def test_detection_type_nested_with_structs(self):
rng = np.random.RandomState(321)
simple = [Scalar.uint(), Scalar.int(), Scalar.float(), Scalar.double()]
simple += [Vector(n, dtype) for n, dtype in itertools.product(range(2, 5), DataType.ALL)]
for layout, _ in itertools.product([Layout.STD140, Layout.STD430], range(5)):
matrices = [Matrix(n, m, dtype, layout) for n, m, dtype in
itertools.product(range(2, 5), range(2, 5), [DataType.FLOAT, DataType.DOUBLE])]
simple_and_matrices = simple + matrices
struct = Struct(rng.choice(simple_and_matrices, size=3, replace=False), layout, type_name="SomeStruct")
structs = [struct]
for _ in range(4):
members = [structs[-1]] + rng.choice(simple_and_matrices, size=2, replace=False).tolist()
structs.append(Struct(rng.permutation(members), layout, type_name="SomeStruct{}".format(len(structs))))
container = structs[-1]
structs = structs[:-1]
glsl = self.build_glsl_program(((container, 0, BufferUsage.STORAGE_BUFFER),), structs)
shader = self.shader_from_txt(glsl, verbose=False)
shader.inspect()
definition, _ = shader.code.get_block(0)
self.assertTrue(container.compare(definition, quiet=True))
def test_detection_layout_stdxxx_ubo(self):
variables = [
Scalar.uint(),
Scalar.int(),
Scalar.float(),
Scalar.double()
]
variables += [
Vector(n, dtype)
for n, dtype in itertools.product(range(2, 5), DataType.ALL)
]
binding = 0
usage = BufferUsage.UNIFORM_BUFFER
glsl = self.build_glsl_program(
((Struct(variables, Layout.STD140), binding, usage), ))
shader = self.shader_from_txt(glsl, verbose=False)
shader.inspect()
definition, detected_usage = shader.get_block(binding)
self.assertEqual(detected_usage, usage)
self.assertEqual(
definition.layout,
Layout.STD140) # uniform buffer objects can not use std430
def test_detection_layout_stdxxx_ssbo(self):
variables = [
Scalar.uint(),
Scalar.int(),
Scalar.float(),
Scalar.double()
]
variables += [
Vector(n, dtype)
for n, dtype in itertools.product(range(2, 5), DataType.ALL)
]
binding = 0
usage = BufferUsage.STORAGE_BUFFER
glsl_std140 = self.build_glsl_program(
((Struct(variables, Layout.STD140), binding, usage), ))
glsl_std430 = self.build_glsl_program(
((Struct(variables, Layout.STD430), binding, usage), ))
glsls = [glsl_std140, glsl_std430]
for glsl in glsls:
shader = self.shader_from_txt(glsl, verbose=False)
shader.inspect()
definition, detected_usage = shader.get_block(binding)
self.assertEqual(detected_usage, usage)
self.assertEqual(definition.layout, Layout.STDXXX)
def test_detection_type_arrays(self):
rng = np.random.RandomState(321)
variables = [
Scalar.uint(),
Scalar.int(),
Scalar.float(),
Scalar.double()
]
variables += [
Vector(n, dtype)
for n, dtype in itertools.product(range(2, 5), DataType.ALL)
]
for definition, layout, _ in itertools.product(
variables, [Layout.STD140, Layout.STD430], range(3)):
container = Struct(
[Array(definition, Random.shape(rng, 3, 5), layout)], layout)
glsl = self.build_glsl_program(
((container, 0, BufferUsage.STORAGE_BUFFER), ))
shader = self.shader_from_txt(glsl, verbose=False)
shader.inspect()
detected_definition, _ = shader.get_block(0)
self.assertTrue(container.compare(detected_definition, quiet=True))
if isinstance(definition, Vector):
if definition.length(
) < 3 and definition.dtype != DataType.DOUBLE:
self.assertEqual(detected_definition.layout, layout)
def test_bytecode_parsing_without_gpu(self):
with self.env_backup():
del os.environ["VULKAN_SDK"]
import lava as lv
from lava.api.bytecode.logical import ByteCode
from lava.api.bytecode.physical import ByteCodeData
from lava.api.bytes import Vector, Scalar, Struct
from lava.api.constants.spirv import Layout
self.assertTrue(not lv.initialized())
glsl = """
#version 450
#extension GL_ARB_separate_shader_objects : enable
layout(local_size_x=1, local_size_y=1, local_size_z=1) in;
layout(std430, binding = 0) readonly buffer bufIn {
vec3 var1;
};
layout(std430, binding = 1) writeonly buffer bufOut {
float var2;
};
void main() {
var2 = var1.x + var1.y + var1.z;
}
"""
path_shader = write_to_temp_file(glsl, suffix=".comp")
path_shader_spirv = lv.compile_glsl(path_shader, verbose=True)
with self.env_backup():
del os.environ["VULKAN_SDK"]
self.assertTrue(not lv.initialized())
byte_code_data = ByteCodeData.from_file(path_shader_spirv)
byte_code = ByteCode(byte_code_data, None)
quiet = True
container0 = Struct([Vector.vec3()], Layout.STD430)
container1 = Struct([Scalar.float()], Layout.STD430)
self.assertTrue(
container0.compare(byte_code.get_block_definition(0),
quiet=quiet))
self.assertTrue(
container1.compare(byte_code.get_block_definition(1),
quiet=quiet))
os.remove(path_shader)
os.remove(path_shader_spirv)
def test_array_of_scalars(self):
rng = np.random.RandomState(123)
scalar_types = [
Scalar.uint(),
Scalar.int(),
Scalar.float(),
Scalar.double()
]
for definition, layout, _ in itertools.product(
scalar_types, [Layout.STD140, Layout.STD430], range(5)):
container = Struct(
[Array(definition, Random.shape(rng, 5, 7), layout)], layout)
self.run_test(container, [], BufferUsage.STORAGE_BUFFER)
if layout == Layout.STD140:
self.run_test(container, [], BufferUsage.UNIFORM_BUFFER)
def test_array_of_structs(self):
rng = np.random.RandomState(123)
simple = [Scalar.uint(), Scalar.int(), Scalar.float(), Scalar.double()]
simple += [
Vector(n, dtype)
for n, dtype in itertools.product(range(2, 5), DataType.ALL)
]
for layout, _ in itertools.product([Layout.STD140, Layout.STD430],
range(5)):
struct = Struct(rng.choice(simple, size=3, replace=False),
layout,
type_name="SomeStruct")
array = Array(struct, Random.shape(rng, 3, 5), layout)
container = Struct([array], layout)
self.run_test(container, [struct], BufferUsage.STORAGE_BUFFER)
if layout == Layout.STD140:
self.run_test(container, [struct], BufferUsage.UNIFORM_BUFFER)
def test_nested_with_arrays_of_structs(self):
rng = np.random.RandomState(123)
simple = [Scalar.uint(), Scalar.int(), Scalar.float(), Scalar.double()]
simple += [
Vector(n, dtype)
for n, dtype in itertools.product(range(2, 5), DataType.ALL)
]
for layout, _ in itertools.product([Layout.STD140, Layout.STD430],
range(10)):
matrices = [
Matrix(n, m, dtype, layout)
for n, m, dtype in itertools.product(range(2, 5), range(
2, 5), [DataType.FLOAT, DataType.DOUBLE])
]
simple_and_matrices = simple + matrices
struct = Struct(rng.choice(simple_and_matrices,
size=4,
replace=False),
layout,
type_name="SomeStruct")
structs = [struct]
arrays = [Array(struct, Random.shape(rng, 2, 3), layout)]
for _ in range(2):
members = [arrays[-1]] + rng.choice(
simple_and_matrices, size=3, replace=False).tolist()
structs.append(
Struct(rng.permutation(members),
layout,
type_name="SomeStruct{}".format(len(structs))))
arrays.append(
Array(structs[-1], Random.shape(rng, 2, 3), layout))
container = structs[-1]
structs = structs[:-1]
self.run_test(container, structs, BufferUsage.STORAGE_BUFFER)
if layout == Layout.STD140:
self.run_test(container, structs, BufferUsage.UNIFORM_BUFFER)
def test_manually(self):
# byte cache test
buffer_usage = BufferUsage.STORAGE_BUFFER
buffer_layout = Layout.STD430
buffer_order = Order.ROW_MAJOR
struct1 = Struct([Vector.vec3(), Vector.ivec2()],
buffer_layout,
member_names=["a", "b"],
type_name="structB")
struct2 = Struct(
[Scalar.double(), Scalar.double(), struct1],
buffer_layout,
type_name="structC")
structs = [struct1, struct2]
variables = [
Scalar.uint(),
Array(Vector.vec2(), (5, 2, 3), buffer_layout),
Array(Scalar.float(), 5, buffer_layout),
struct2, # this struct needs padding at the end
Scalar.uint(),
Array(struct1, (2, 3), buffer_layout)
]
container = Struct(variables, buffer_layout, type_name="block")
cache = ByteCache(container)
print("")
print("")
pprint.pprint(cache.values)
print(cache[-1][0][0]["a"])
print("")
print("")
pprint.pprint(cache)
print(cache[-1][0][0])
print("")
print("")
pprint.pprint(cache.get_as_dict())
def test_scalars_and_vectors_and_matrices(self):
rng = np.random.RandomState(123)
variables = [
Scalar.uint(),
Scalar.int(),
Scalar.float(),
Scalar.double()
]
variables += [
Vector(n, dtype)
for n, dtype in itertools.product(range(2, 5), DataType.ALL)
]
matrix_combinations = itertools.product(range(2, 5), range(
2, 5), [DataType.FLOAT, DataType.DOUBLE])
variables_std140 = variables + [
Matrix(n, m, dtype, Layout.STD140)
for n, m, dtype in matrix_combinations
]
variables_std430 = variables + [
Matrix(n, m, dtype, Layout.STD430)
for n, m, dtype in matrix_combinations
]
containers_std140 = [Struct(variables_std140, Layout.STD140)]
containers_std430 = [Struct(variables_std430, Layout.STD430)]
for _ in range(5):
containers_std140.append(
Struct(rng.permutation(variables_std140), Layout.STD140))
containers_std430.append(
Struct(rng.permutation(variables_std430), Layout.STD430))
for container in containers_std140 + containers_std430:
self.run_test(container, [], BufferUsage.STORAGE_BUFFER)
