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377 lines (334 loc) · 18.9 KB
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import wgpu
import numpy as np
from rendercanvas.auto import RenderCanvas, loop
class WGPUHelper:
"""
Class that is responsible to abstract away the gpu dirty mess...
"""
def __init__(self, workgroup_size = 16, shader_source='kernel.wgsl'):
self.adapter = None
self.device = None
self.workgroup_size = workgroup_size
self.shader_source = shader_source
self.bind_group_1 = None
self.bind_group_2 = None
self.source = ''
# FD-TD variables
self.c1x = None
self.c1y = None
self.c2x = None
self.c2y = None
self.c3 = None
self.c4 = None
self.dx = None
self.dy = None
self.dt = None
self.t = None
self.wire = None
self.Ezix = None
self.Eziy = None
self.Hxi = None
self.Hyi = None
self.sources = None
# GPU versions of FD-TD variables
self.wgpu_c1x = None
self.wgpu_c1y = None
self.wgpu_c2x = None
self.wgpu_c2y = None
self.wgpu_c3 = None
self.wgpu_c4 = None
self.wgpu_dx = None
self.wgpu_dy = None
self.wgpu_dt = None
self.wgpu_t = None
self.wgpu_wire = None
# double buffer to avoid concurrence and data race in the spatial difference equation update
self.wgpu_Ezix_1 = None
self.wgpu_Eziy_1 = None
self.wgpu_Hxi_1 = None
self.wgpu_Hyi_1 = None
self.wgpu_Ezix_2 = None
self.wgpu_Eziy_2 = None
self.wgpu_Hxi_2 = None
self.wgpu_Hyi_2 = None
self.wgpu_sources = None
# Frame Loop
def compute(self, n):
N = self.Ezix.shape[0]
M = self.Eziy.shape[1]
self.call_kernel(1, 1, 0, 2) # 2 = update_source
self.call_kernel(N, M, n, 0) # 0 = leap_frog1 (Compute Ezi)
self.call_kernel(N, M, n, 1) # 1 = leap_frog2 (compute Hxi, Hyi with the UPDATED version of Ezi)
def setup_compute(self, c1x, c1y, c2x, c2y, c3, c4, dx, dy, dt, t, wire, Ezix, Eziy, Hxi, Hyi, sources):
"""
sources format: [(position, type, parameters), (position, type, parameters), ...]
"""
print('preparing the GPU')
N = Ezix.shape[0]
M = Ezix.shape[1]
# 0. store data (caution, these are copies)
self.c1x = c1x.astype(np.float32)
self.c1y = c1y.astype(np.float32)
self.c2x = c2x.astype(np.float32)
self.c2y = c2y.astype(np.float32)
self.c3 = c3.astype(np.float32)
self.c4 = c4.astype(np.float32)
self.dx = dx.astype(np.float32)
self.dy = dy.astype(np.float32)
self.dt = dt.astype(np.float32)
self.t = t.astype(np.float32)
self.wire = wire.astype(np.float32)
# Ezix and Eziy will both add up to form Ezi (in 2D we have only Ez, but for PML, we need to use Berenger strategy
# of spliting Ez into a component what will propagate in x and y (so that the vertical PML will absorb Ex and horizontal will
# absorb only Ey
self.Ezix = Ezix.astype(np.float32)
self.Eziy = Eziy.astype(np.float32)
self.Hxi = Hxi.astype(np.float32)
self.Hyi = Hyi.astype(np.float32)
self.sources = sources
# 1. Setup: Create a device to communicate with the GPU
self.adapter = wgpu.gpu.request_adapter_sync(
power_preference="high-performance",
force_fallback_adapter=False)
self.device = self.adapter.request_device_sync()
# Print out exactly what hardware Python bound to
print(f"Active Adapter Summary: {self.adapter.summary}")
print(f"Active Adapter Info: {self.adapter.info}")
# 2. Shader: Define the WGSL code
with open(self.shader_source,'rt') as fid:
shader_source = fid.read()
shader_source = shader_source.replace('[[workgoup_size]]', str(self.workgroup_size))
shader_source = shader_source.replace('[[N]]', str(N))
shader_source = shader_source.replace('[[M]]', str(M))
self.source = shader_source
# print(shader_source)
self.shader_module = self.device.create_shader_module(code=shader_source)
# 3. Buffers and uniforms: Move data to the GPU
# We need a buffer that is "Storage" (for compute) and "CopySrc" (so we can read it back) and some variables
# We also need some uniforms (things that never change during the lifetime of the shader)
# to use as parameters to the shader (uniforms)
usage_storage = wgpu.BufferUsage.STORAGE | wgpu.BufferUsage.COPY_DST | wgpu.BufferUsage.COPY_SRC | wgpu.BufferUsage.VERTEX
usage_uniform = wgpu.BufferUsage.UNIFORM | wgpu.BufferUsage.COPY_DST
self.wgpu_c1x = self.device.create_buffer_with_data(
data=self.c1x,
usage=usage_storage
)
self.wgpu_c1y = self.device.create_buffer_with_data(
data=self.c1y,
usage=usage_storage
)
self.wgpu_c2x = self.device.create_buffer_with_data(
data=self.c2x,
usage=usage_storage
)
self.wgpu_c2y = self.device.create_buffer_with_data(
data=self.c2y,
usage=usage_storage
)
self.wgpu_c3 = self.device.create_buffer_with_data(
data=self.c3,
usage=usage_storage
)
self.wgpu_c4 = self.device.create_buffer_with_data(
data=self.c4,
usage=usage_storage
)
self.wgpu_wire = self.device.create_buffer_with_data(
data=self.wire,
usage=usage_storage
)
self.wgpu_dx = self.device.create_buffer_with_data(
data=self.dx,
usage=usage_uniform
)
self.wgpu_dy = self.device.create_buffer_with_data(
data=self.dy,
usage=usage_uniform
)
self.wgpu_dt = self.device.create_buffer_with_data(
data=self.dt,
usage=usage_uniform
)
self.wgpu_t = self.device.create_buffer_with_data(
data=self.t,
usage=usage_storage
)
self.wgpu_Ezix_1 = self.device.create_buffer_with_data(
data=self.Ezix,
usage=usage_storage
)
self.wgpu_Eziy_1 = self.device.create_buffer_with_data(
data=self.Eziy,
usage=usage_storage
)
self.wgpu_Hxi_1 = self.device.create_buffer_with_data(
data=self.Hxi,
usage=usage_storage
)
self.wgpu_Hyi_1 = self.device.create_buffer_with_data(
data=self.Hyi,
usage=usage_storage
)
self.wgpu_Ezix_2 = self.device.create_buffer_with_data(
data=self.Ezix,
usage=usage_storage
)
self.wgpu_Eziy_2 = self.device.create_buffer_with_data(
data=self.Eziy,
usage=usage_storage
)
self.wgpu_Hxi_2 = self.device.create_buffer_with_data(
data=self.Hxi,
usage=usage_storage
)
self.wgpu_Hyi_2 = self.device.create_buffer_with_data(
data=self.Hyi,
usage=usage_storage
)
self.wgpu_sources = self.device.create_buffer_with_data(
data=self.sources.tobytes(),
usage=usage_storage
)
bind_group_layout_entries = [
{"binding": 0, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # c1x
{"binding": 1, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # c1y
{"binding": 2, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # c2x
{"binding": 3, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # c2y
{"binding": 4, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # c3
{"binding": 5, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # c4
{"binding": 6, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # wire
{"binding": 7, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.uniform}}, # dx
{"binding": 8, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.uniform}}, # dy
{"binding": 9, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.uniform}}, # dt
{"binding": 10, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # t
{"binding": 11, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # Ezix_1(or 2)
{"binding": 12, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # Eziy_1(or 2)
{"binding": 13, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # Hxi_1(or 2)
{"binding": 14, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # Hyi_1(or 2)
{"binding": 15, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # Ezix_2(or 1)
{"binding": 16, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # Eziy_2(or 1)
{"binding": 17, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # Hxi_2(or 1)
{"binding": 18, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # Hyi_2(or 1)
{"binding": 19, "visibility": wgpu.ShaderStage.COMPUTE, "buffer": {"type": wgpu.BufferBindingType.storage}}, # sources
]
# 4. Pipeline: Compile the shader and set up the layout
# It will organize the runing of the code. For instance will tell which binding is which (storage, uniform, etc)
compute_pipelines = [
self.device.create_compute_pipeline(
layout=self.device.create_pipeline_layout(bind_group_layouts=[
self.device.create_bind_group_layout(entries=bind_group_layout_entries)
]),
compute={"module": self.shader_module, "entry_point": 'leap_frog1'}
),
self.device.create_compute_pipeline(
layout=self.device.create_pipeline_layout(bind_group_layouts=[
self.device.create_bind_group_layout(entries=bind_group_layout_entries)
]),
compute={"module": self.shader_module, "entry_point": 'leap_frog2'}
),
self.device.create_compute_pipeline(
layout=self.device.create_pipeline_layout(bind_group_layouts=[
self.device.create_bind_group_layout(entries=bind_group_layout_entries)
]),
compute={"module": self.shader_module, "entry_point": 'update_source'}
),
]
# 6. Bind Group: Link the buffers and uniforms to the pipeline
# Pipeline just told what the date will be... Here we bind them together with the created gpu_xxx variables
# We have two for the double buffer pointer swap trick
bind_group_entries_1 = [
{"binding": 0, "resource": {"buffer": self.wgpu_c1x, "offset": 0, "size": self.wgpu_c1x.size}},
{"binding": 1, "resource": {"buffer": self.wgpu_c1y, "offset": 0, "size": self.wgpu_c1y.size}},
{"binding": 2, "resource": {"buffer": self.wgpu_c2x, "offset": 0, "size": self.wgpu_c2x.size}},
{"binding": 3, "resource": {"buffer": self.wgpu_c2y, "offset": 0, "size": self.wgpu_c2y.size}},
{"binding": 4, "resource": {"buffer": self.wgpu_c3, "offset": 0, "size": self.wgpu_c3.size}},
{"binding": 5, "resource": {"buffer": self.wgpu_c4, "offset": 0, "size": self.wgpu_c4.size}},
{"binding": 6, "resource": {"buffer": self.wgpu_wire, "offset": 0, "size": self.wgpu_wire.size}},
{"binding": 7, "resource": {"buffer": self.wgpu_dx, "offset": 0, "size": self.wgpu_dx.size}},
{"binding": 8, "resource": {"buffer": self.wgpu_dy, "offset": 0, "size": self.wgpu_dy.size}},
{"binding": 9, "resource": {"buffer": self.wgpu_dt, "offset": 0, "size": self.wgpu_dt.size}},
{"binding": 10, "resource": {"buffer": self.wgpu_t, "offset": 0, "size": self.wgpu_t.size}},
{"binding": 11, "resource": {"buffer": self.wgpu_Ezix_1, "offset": 0, "size": self.wgpu_Ezix_1.size}},
{"binding": 12, "resource": {"buffer": self.wgpu_Eziy_1, "offset": 0, "size": self.wgpu_Eziy_1.size}},
{"binding": 13, "resource": {"buffer": self.wgpu_Hxi_1, "offset": 0, "size": self.wgpu_Hxi_1.size}},
{"binding": 14, "resource": {"buffer": self.wgpu_Hyi_1, "offset": 0, "size": self.wgpu_Hyi_1.size}},
{"binding": 15, "resource": {"buffer": self.wgpu_Ezix_2, "offset": 0, "size": self.wgpu_Ezix_2.size}},
{"binding": 16, "resource": {"buffer": self.wgpu_Eziy_2, "offset": 0, "size": self.wgpu_Eziy_2.size}},
{"binding": 17, "resource": {"buffer": self.wgpu_Hxi_2, "offset": 0, "size": self.wgpu_Hxi_2.size}},
{"binding": 18, "resource": {"buffer": self.wgpu_Hyi_2, "offset": 0, "size": self.wgpu_Hyi_2.size}},
{"binding": 19, "resource": {"buffer": self.wgpu_sources, "offset": 0, "size": self.wgpu_sources.size}},
]
bind_group_entries_2 = [
{"binding": 0, "resource": {"buffer": self.wgpu_c1x, "offset": 0, "size": self.wgpu_c1x.size}},
{"binding": 1, "resource": {"buffer": self.wgpu_c1y, "offset": 0, "size": self.wgpu_c1y.size}},
{"binding": 2, "resource": {"buffer": self.wgpu_c2x, "offset": 0, "size": self.wgpu_c2x.size}},
{"binding": 3, "resource": {"buffer": self.wgpu_c2y, "offset": 0, "size": self.wgpu_c2y.size}},
{"binding": 4, "resource": {"buffer": self.wgpu_c3, "offset": 0, "size": self.wgpu_c3.size}},
{"binding": 5, "resource": {"buffer": self.wgpu_c4, "offset": 0, "size": self.wgpu_c4.size}},
{"binding": 6, "resource": {"buffer": self.wgpu_wire, "offset": 0, "size": self.wgpu_wire.size}},
{"binding": 7, "resource": {"buffer": self.wgpu_dx, "offset": 0, "size": self.wgpu_dx.size}},
{"binding": 8, "resource": {"buffer": self.wgpu_dy, "offset": 0, "size": self.wgpu_dy.size}},
{"binding": 9, "resource": {"buffer": self.wgpu_dt, "offset": 0, "size": self.wgpu_dt.size}},
{"binding": 10, "resource": {"buffer": self.wgpu_t, "offset": 0, "size": self.wgpu_t.size}},
{"binding": 11, "resource": {"buffer": self.wgpu_Ezix_2, "offset": 0, "size": self.wgpu_Ezix_2.size}},
{"binding": 12, "resource": {"buffer": self.wgpu_Eziy_2, "offset": 0, "size": self.wgpu_Eziy_2.size}},
{"binding": 13, "resource": {"buffer": self.wgpu_Hxi_2, "offset": 0, "size": self.wgpu_Hxi_2.size}},
{"binding": 14, "resource": {"buffer": self.wgpu_Hyi_2, "offset": 0, "size": self.wgpu_Hyi_2.size}},
{"binding": 15, "resource": {"buffer": self.wgpu_Ezix_1, "offset": 0, "size": self.wgpu_Ezix_1.size}},
{"binding": 16, "resource": {"buffer": self.wgpu_Eziy_1, "offset": 0, "size": self.wgpu_Eziy_1.size}},
{"binding": 17, "resource": {"buffer": self.wgpu_Hxi_1, "offset": 0, "size": self.wgpu_Hxi_1.size}},
{"binding": 18, "resource": {"buffer": self.wgpu_Hyi_1, "offset": 0, "size": self.wgpu_Hyi_1.size}},
{"binding": 19, "resource": {"buffer": self.wgpu_sources, "offset": 0, "size": self.wgpu_sources.size}},
]
# All compute_pilelines use the same bindgroup, so anyone can be used here
bind_group_1 = self.device.create_bind_group(
layout=compute_pipelines[0].get_bind_group_layout(0),
entries=bind_group_entries_1
)
bind_group_2 = self.device.create_bind_group(
layout=compute_pipelines[0].get_bind_group_layout(0),
entries=bind_group_entries_2
)
# store for later use...
self.compute_pipelines = compute_pipelines
self.bind_group_1 = bind_group_1
self.bind_group_2 = bind_group_2
def call_kernel(self, N_workers, M_workers, n, entry_point_idx):
# Execution: Dispatch the work
encoder = self.device.create_command_encoder()
compute_pass = encoder.begin_compute_pass()
compute_pass.set_pipeline(self.compute_pipelines[entry_point_idx])
if n%2 == 0:
compute_pass.set_bind_group(0, self.bind_group_1)
else:
compute_pass.set_bind_group(0, self.bind_group_2)
compute_pass.dispatch_workgroups(1+N_workers//self.workgroup_size, 1+M_workers//self.workgroup_size) # Run once for each row and coll. In the kernel, global_invocation_id (generally the first parameter) will have .x and .y since we are passing N_workers and M_workers
compute_pass.end()
self.device.queue.submit([encoder.finish()])
def sync_gpu_host_data(self):
Ezix_ = self.device.queue.read_buffer(self.wgpu_Ezix_1).cast('f')
Eziy_ = self.device.queue.read_buffer(self.wgpu_Eziy_1).cast('f')
# reshape to familiar shape
new_Ezix = np.array(Ezix_).reshape(self.Ezix.shape)
new_Eziy = np.array(Eziy_).reshape(self.Eziy.shape)
return new_Ezix+new_Eziy
def sync_host_gpu_data(self):
self.device.queue.write_buffer(self.wgpu_c1x, 0, self.c1x)
self.device.queue.write_buffer(self.wgpu_c1y, 0, self.c1y)
self.device.queue.write_buffer(self.wgpu_c2x, 0, self.c2x)
self.device.queue.write_buffer(self.wgpu_c2y, 0, self.c2y)
self.device.queue.write_buffer(self.wgpu_c3, 0, self.c3)
self.device.queue.write_buffer(self.wgpu_c4, 0, self.c4)
self.device.queue.write_buffer(self.wgpu_wire, 0, self.wire)
self.device.queue.write_buffer(self.wgpu_dx, 0, self.dx)
self.device.queue.write_buffer(self.wgpu_dy, 0, self.dy)
self.device.queue.write_buffer(self.wgpu_dt, 0, self.dt)
self.device.queue.write_buffer(self.wgpu_t, 0, self.t)
self.device.queue.write_buffer(self.wgpu_Ezix_1, 0, self.Ezix)
self.device.queue.write_buffer(self.wgpu_Eziy_1, 0, self.Eziy)
self.device.queue.write_buffer(self.wgpu_Hxi_1, 0, self.Hxi)
self.device.queue.write_buffer(self.wgpu_Hyi_1, 0, self.Hyi)
self.device.queue.write_buffer(self.wgpu_Ezix_2, 0, self.Ezix)
self.device.queue.write_buffer(self.wgpu_Eziy_2, 0, self.Eziy)
self.device.queue.write_buffer(self.wgpu_Hxi_2, 0, self.Hxi)
self.device.queue.write_buffer(self.wgpu_Hyi_2, 0, self.Hyi)