compute_unittests.cc

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// Copyright 2013 The Flutter Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
 
#include "flutter/fml/synchronization/waitable_event.h"
#include "flutter/testing/testing.h"
#include "gmock/gmock.h"
#include "impeller/core/host_buffer.h"
#include "impeller/fixtures/sample.comp.h"
#include "impeller/fixtures/stage1.comp.h"
#include "impeller/fixtures/stage2.comp.h"
#include "impeller/playground/compute_playground_test.h"
#include "impeller/renderer/command_buffer.h"
#include "impeller/renderer/compute_3d_test.comp.h"
#include "impeller/renderer/compute_pipeline_builder.h"
#include "impeller/renderer/pipeline_library.h"
#include "impeller/renderer/prefix_sum_test.comp.h"
#include "impeller/renderer/threadgroup_sizing_test.comp.h"
 
namespace {
std::shared_ptr<impeller::HostBuffer> CreateHostBufferFromContext(
    const std::shared_ptr<impeller::Context>& context) {
  return impeller::HostBuffer::Create(
      context->GetResourceAllocator(), context->GetIdleWaiter(),
      context->GetCapabilities()->GetMinimumUniformAlignment());
}
 
// The number of workgroups needed to cover `invocations` invocations given a
// per-workgroup `local_size`. A `local_size` of 0 means the shader sizes its
// workgroup with a specialization constant, in which case the caller should
// dispatch an explicit count rather than derive one here.
constexpr uint32_t WorkgroupCount(size_t invocations, uint32_t local_size) {
  if (local_size == 0u) {
    return 0u;
  }
  return static_cast<uint32_t>((invocations + local_size - 1) / local_size);
}
}  // namespace
 
namespace impeller {
namespace testing {
using ComputeTest = ComputePlaygroundTest;
INSTANTIATE_COMPUTE_SUITE(ComputeTest);
 
TEST_P(ComputeTest, CapabilitiesReportSupport) {
  auto context = GetContext();
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
}
 
TEST_P(ComputeTest, CanCreateComputePass) {
  using CS = SampleComputeShader;
  auto context = GetContext();
  auto host_buffer = CreateHostBufferFromContext(context);
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
 
  using SamplePipelineBuilder = ComputePipelineBuilder<CS>;
  auto pipeline_desc =
      SamplePipelineBuilder::MakeDefaultPipelineDescriptor(*context);
  ASSERT_TRUE(pipeline_desc.has_value());
  auto compute_pipeline =
      context->GetPipelineLibrary()->GetPipeline(pipeline_desc).Get();
  ASSERT_TRUE(compute_pipeline);
 
  auto cmd_buffer = context->CreateCommandBuffer();
  auto pass = cmd_buffer->CreateComputePass();
  ASSERT_TRUE(pass && pass->IsValid());
 
  static constexpr size_t kCount = 5;
 
  pass->SetPipeline(compute_pipeline);
 
  CS::Info info{.count = kCount};
  CS::Input0<kCount> input_0;
  CS::Input1<kCount> input_1;
  for (size_t i = 0; i < kCount; i++) {
    input_0.elements[i] = Vector4(2.0 + i, 3.0 + i, 4.0 + i, 5.0 * i);
    input_1.elements[i] = Vector4(6.0, 7.0, 8.0, 9.0);
  }
 
  input_0.fixed_array[1] = IPoint32(2, 2);
  input_1.fixed_array[0] = UintPoint32(3, 3);
  input_0.some_int = 5;
  input_1.some_struct = CS::SomeStruct{.vf = Point(3, 4), .i = 42};
 
  auto output_buffer = CreateHostVisibleDeviceBuffer<CS::Output<kCount>>(
      context, "Output Buffer");
 
  CS::BindInfo(*pass, host_buffer->EmplaceUniform(info));
  CS::BindInput0(*pass, host_buffer->EmplaceStorageBuffer(input_0));
  CS::BindInput1(*pass, host_buffer->EmplaceStorageBuffer(input_1));
  CS::BindOutput(*pass, DeviceBuffer::AsBufferView(output_buffer));
 
  ASSERT_TRUE(
      pass->Compute({WorkgroupCount(kCount, CS::kWorkgroupSize[0]), 1, 1})
          .ok());
  ASSERT_TRUE(pass->EncodeCommands());
 
  fml::AutoResetWaitableEvent latch;
  ASSERT_TRUE(
      context->GetCommandQueue()
          ->Submit(
              {cmd_buffer},
              [&latch, output_buffer, &input_0,
               &input_1](CommandBuffer::Status status) {
                EXPECT_EQ(status, CommandBuffer::Status::kCompleted);
 
                auto view = DeviceBuffer::AsBufferView(output_buffer);
                EXPECT_EQ(view.GetRange().length, sizeof(CS::Output<kCount>));
 
                CS::Output<kCount>* output =
                    reinterpret_cast<CS::Output<kCount>*>(
                        output_buffer->OnGetContents());
                EXPECT_TRUE(output);
                for (size_t i = 0; i < kCount; i++) {
                  Vector4 vector = output->elements[i];
                  Vector4 computed = input_0.elements[i] * input_1.elements[i];
                  EXPECT_EQ(vector,
                            Vector4(computed.x + 2 + input_1.some_struct.i,
                                    computed.y + 3 + input_1.some_struct.vf.x,
                                    computed.z + 5 + input_1.some_struct.vf.y,
                                    computed.w));
                }
                latch.Signal();
              })
          .ok());
 
  latch.Wait();
}
 
TEST_P(ComputeTest, CanComputePrefixSum) {
  using CS = PrefixSumTestComputeShader;
  auto context = GetContext();
  auto host_buffer = CreateHostBufferFromContext(context);
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
 
  using SamplePipelineBuilder = ComputePipelineBuilder<CS>;
  auto pipeline_desc =
      SamplePipelineBuilder::MakeDefaultPipelineDescriptor(*context);
  ASSERT_TRUE(pipeline_desc.has_value());
  auto compute_pipeline =
      context->GetPipelineLibrary()->GetPipeline(pipeline_desc).Get();
  ASSERT_TRUE(compute_pipeline);
 
  auto cmd_buffer = context->CreateCommandBuffer();
  auto pass = cmd_buffer->CreateComputePass();
  ASSERT_TRUE(pass && pass->IsValid());
 
  static constexpr size_t kCount = 5;
 
  pass->SetPipeline(compute_pipeline);
 
  CS::InputData<kCount> input_data;
  input_data.count = kCount;
  for (size_t i = 0; i < kCount; i++) {
    input_data.data[i] = 1 + i;
  }
 
  auto output_buffer = CreateHostVisibleDeviceBuffer<CS::OutputData<kCount>>(
      context, "Output Buffer");
 
  CS::BindInputData(*pass, host_buffer->EmplaceStorageBuffer(input_data));
  CS::BindOutputData(*pass, DeviceBuffer::AsBufferView(output_buffer));
 
  // The prefix sum is computed within a single workgroup whose size is sized to
  // the device (a specialization constant), so dispatch exactly one.
  ASSERT_TRUE(pass->Compute({1, 1, 1}).ok());
  ASSERT_TRUE(pass->EncodeCommands());
 
  fml::AutoResetWaitableEvent latch;
  ASSERT_TRUE(
      context->GetCommandQueue()
          ->Submit({cmd_buffer},
                   [&latch, output_buffer](CommandBuffer::Status status) {
                     EXPECT_EQ(status, CommandBuffer::Status::kCompleted);
 
                     auto view = DeviceBuffer::AsBufferView(output_buffer);
                     EXPECT_EQ(view.GetRange().length,
                               sizeof(CS::OutputData<kCount>));
 
                     CS::OutputData<kCount>* output =
                         reinterpret_cast<CS::OutputData<kCount>*>(
                             output_buffer->OnGetContents());
                     EXPECT_TRUE(output);
 
                     constexpr uint32_t expected[kCount] = {1, 3, 6, 10, 15};
                     for (size_t i = 0; i < kCount; i++) {
                       auto computed_sum = output->data[i];
                       EXPECT_EQ(computed_sum, expected[i]);
                     }
                     latch.Signal();
                   })
          .ok());
 
  latch.Wait();
}
 
TEST_P(ComputeTest, 1DThreadgroupSizingIsCorrect) {
  using CS = ThreadgroupSizingTestComputeShader;
  auto context = GetContext();
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
 
  using SamplePipelineBuilder = ComputePipelineBuilder<CS>;
  auto pipeline_desc =
      SamplePipelineBuilder::MakeDefaultPipelineDescriptor(*context);
  ASSERT_TRUE(pipeline_desc.has_value());
  auto compute_pipeline =
      context->GetPipelineLibrary()->GetPipeline(pipeline_desc).Get();
  ASSERT_TRUE(compute_pipeline);
 
  auto cmd_buffer = context->CreateCommandBuffer();
  auto pass = cmd_buffer->CreateComputePass();
  ASSERT_TRUE(pass && pass->IsValid());
 
  static constexpr size_t kCount = 2048;
 
  pass->SetPipeline(compute_pipeline);
 
  auto output_buffer = CreateHostVisibleDeviceBuffer<CS::OutputData<kCount>>(
      context, "Output Buffer");
 
  CS::BindOutputData(*pass, DeviceBuffer::AsBufferView(output_buffer));
 
  ASSERT_TRUE(
      pass->Compute({WorkgroupCount(kCount, CS::kWorkgroupSize[0]), 1, 1})
          .ok());
  ASSERT_TRUE(pass->EncodeCommands());
 
  fml::AutoResetWaitableEvent latch;
  ASSERT_TRUE(
      context->GetCommandQueue()
          ->Submit({cmd_buffer},
                   [&latch, output_buffer](CommandBuffer::Status status) {
                     EXPECT_EQ(status, CommandBuffer::Status::kCompleted);
 
                     auto view = DeviceBuffer::AsBufferView(output_buffer);
                     EXPECT_EQ(view.GetRange().length,
                               sizeof(CS::OutputData<kCount>));
 
                     CS::OutputData<kCount>* output =
                         reinterpret_cast<CS::OutputData<kCount>*>(
                             output_buffer->OnGetContents());
                     EXPECT_TRUE(output);
                     EXPECT_EQ(output->data[kCount - 1], kCount - 1);
                     latch.Signal();
                   })
          .ok());
 
  latch.Wait();
}
 
TEST_P(ComputeTest, 3DWorkgroupDispatchIsCorrect) {
  using CS = Compute3dTestComputeShader;
  auto context = GetContext();
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
 
  using PipelineBuilder = ComputePipelineBuilder<CS>;
  auto pipeline_desc = PipelineBuilder::MakeDefaultPipelineDescriptor(*context);
  ASSERT_TRUE(pipeline_desc.has_value());
  auto compute_pipeline =
      context->GetPipelineLibrary()->GetPipeline(pipeline_desc).Get();
  ASSERT_TRUE(compute_pipeline);
 
  auto cmd_buffer = context->CreateCommandBuffer();
  auto pass = cmd_buffer->CreateComputePass();
  ASSERT_TRUE(pass && pass->IsValid());
 
  // The shader's local size is (2, 3, 4). Dispatching (3, 2, 1) workgroups
  // covers a (6, 6, 4) invocation grid, which exercises all three dimensions
  // and confirms the reflected local size is honored on every axis.
  static_assert(CS::kWorkgroupSize[0] == 2 && CS::kWorkgroupSize[1] == 3 &&
                CS::kWorkgroupSize[2] == 4);
  constexpr std::array<uint32_t, 3> kWorkgroups = {3, 2, 1};
  constexpr uint32_t kWidth = kWorkgroups[0] * CS::kWorkgroupSize[0];
  constexpr uint32_t kHeight = kWorkgroups[1] * CS::kWorkgroupSize[1];
  constexpr uint32_t kDepth = kWorkgroups[2] * CS::kWorkgroupSize[2];
  constexpr size_t kCount = kWidth * kHeight * kDepth;
 
  pass->SetPipeline(compute_pipeline);
 
  auto output_buffer = CreateHostVisibleDeviceBuffer<CS::OutputData<kCount>>(
      context, "Output Buffer");
  CS::BindOutputData(*pass, DeviceBuffer::AsBufferView(output_buffer));
 
  ASSERT_TRUE(pass->Compute(kWorkgroups).ok());
  ASSERT_TRUE(pass->EncodeCommands());
 
  fml::AutoResetWaitableEvent latch;
  ASSERT_TRUE(
      context->GetCommandQueue()
          ->Submit({cmd_buffer},
                   [&latch, output_buffer](CommandBuffer::Status status) {
                     EXPECT_EQ(status, CommandBuffer::Status::kCompleted);
 
                     CS::OutputData<kCount>* output =
                         reinterpret_cast<CS::OutputData<kCount>*>(
                             output_buffer->OnGetContents());
                     EXPECT_TRUE(output);
                     for (uint32_t i = 0; i < kCount; i++) {
                       EXPECT_EQ(output->data[i], i);
                     }
                     latch.Signal();
                   })
          .ok());
 
  latch.Wait();
}
 
TEST_P(ComputeTest, CanComputePrefixSumLargeInteractive) {
  using CS = PrefixSumTestComputeShader;
 
  auto context = GetContext();
  auto host_buffer = CreateHostBufferFromContext(context);
 
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
 
  auto callback = [&](RenderPass& render_pass) -> bool {
    using SamplePipelineBuilder = ComputePipelineBuilder<CS>;
    auto pipeline_desc =
        SamplePipelineBuilder::MakeDefaultPipelineDescriptor(*context);
    auto compute_pipeline =
        context->GetPipelineLibrary()->GetPipeline(pipeline_desc).Get();
 
    auto cmd_buffer = context->CreateCommandBuffer();
    auto pass = cmd_buffer->CreateComputePass();
 
    static constexpr size_t kCount = 1023;
 
    pass->SetPipeline(compute_pipeline);
 
    CS::InputData<kCount> input_data;
    input_data.count = kCount;
    for (size_t i = 0; i < kCount; i++) {
      input_data.data[i] = 1 + i;
    }
 
    auto output_buffer = CreateHostVisibleDeviceBuffer<CS::OutputData<kCount>>(
        context, "Output Buffer");
 
    CS::BindInputData(*pass, host_buffer->EmplaceStorageBuffer(input_data));
    CS::BindOutputData(*pass, DeviceBuffer::AsBufferView(output_buffer));
 
    // Single workgroup; see CanComputePrefixSum.
    pass->Compute({1, 1, 1});
    pass->EncodeCommands();
    host_buffer->Reset();
    return context->GetCommandQueue()->Submit({cmd_buffer}).ok();
  };
  ASSERT_TRUE(OpenPlaygroundHere(callback));
}
 
TEST_P(ComputeTest, MultiStageInputAndOutput) {
  using CS1 = Stage1ComputeShader;
  using Stage1PipelineBuilder = ComputePipelineBuilder<CS1>;
  using CS2 = Stage2ComputeShader;
  using Stage2PipelineBuilder = ComputePipelineBuilder<CS2>;
 
  auto context = GetContext();
  auto host_buffer = CreateHostBufferFromContext(context);
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
 
  auto pipeline_desc_1 =
      Stage1PipelineBuilder::MakeDefaultPipelineDescriptor(*context);
  ASSERT_TRUE(pipeline_desc_1.has_value());
  auto compute_pipeline_1 =
      context->GetPipelineLibrary()->GetPipeline(pipeline_desc_1).Get();
  ASSERT_TRUE(compute_pipeline_1);
 
  auto pipeline_desc_2 =
      Stage2PipelineBuilder::MakeDefaultPipelineDescriptor(*context);
  ASSERT_TRUE(pipeline_desc_2.has_value());
  auto compute_pipeline_2 =
      context->GetPipelineLibrary()->GetPipeline(pipeline_desc_2).Get();
  ASSERT_TRUE(compute_pipeline_2);
 
  auto cmd_buffer = context->CreateCommandBuffer();
  auto pass = cmd_buffer->CreateComputePass();
  ASSERT_TRUE(pass && pass->IsValid());
 
  static constexpr size_t kCount1 = 5;
  static constexpr size_t kCount2 = kCount1 * 2;
 
  CS1::Input<kCount1> input_1;
  input_1.count = kCount1;
  for (size_t i = 0; i < kCount1; i++) {
    input_1.elements[i] = i;
  }
 
  CS2::Input<kCount2> input_2;
  input_2.count = kCount2;
  for (size_t i = 0; i < kCount2; i++) {
    input_2.elements[i] = i;
  }
 
  auto output_buffer_1 = CreateHostVisibleDeviceBuffer<CS1::Output<kCount2>>(
      context, "Output Buffer Stage 1");
  auto output_buffer_2 = CreateHostVisibleDeviceBuffer<CS2::Output<kCount2>>(
      context, "Output Buffer Stage 2");
 
  {
    pass->SetPipeline(compute_pipeline_1);
 
    CS1::BindInput(*pass, host_buffer->EmplaceStorageBuffer(input_1));
    CS1::BindOutput(*pass, DeviceBuffer::AsBufferView(output_buffer_1));
 
    ASSERT_TRUE(
        pass->Compute({WorkgroupCount(kCount1, CS1::kWorkgroupSize[0]), 1, 1})
            .ok());
    pass->AddBufferMemoryBarrier();
  }
 
  {
    pass->SetPipeline(compute_pipeline_2);
 
    CS1::BindInput(*pass, DeviceBuffer::AsBufferView(output_buffer_1));
    CS2::BindOutput(*pass, DeviceBuffer::AsBufferView(output_buffer_2));
    ASSERT_TRUE(
        pass->Compute({WorkgroupCount(kCount2, CS2::kWorkgroupSize[0]), 1, 1})
            .ok());
  }
 
  ASSERT_TRUE(pass->EncodeCommands());
 
  fml::AutoResetWaitableEvent latch;
  ASSERT_TRUE(
      context->GetCommandQueue()
          ->Submit({cmd_buffer},
                   [&latch, &output_buffer_1,
                    &output_buffer_2](CommandBuffer::Status status) {
                     EXPECT_EQ(status, CommandBuffer::Status::kCompleted);
 
                     CS1::Output<kCount2>* output_1 =
                         reinterpret_cast<CS1::Output<kCount2>*>(
                             output_buffer_1->OnGetContents());
                     EXPECT_TRUE(output_1);
                     EXPECT_EQ(output_1->count, 10u);
                     EXPECT_THAT(
                         output_1->elements,
                         ::testing::ElementsAre(0, 0, 2, 3, 4, 6, 6, 9, 8, 12));
 
                     CS2::Output<kCount2>* output_2 =
                         reinterpret_cast<CS2::Output<kCount2>*>(
                             output_buffer_2->OnGetContents());
                     EXPECT_TRUE(output_2);
                     EXPECT_EQ(output_2->count, 10u);
                     EXPECT_THAT(output_2->elements,
                                 ::testing::ElementsAre(0, 0, 4, 6, 8, 12, 12,
                                                        18, 16, 24));
 
                     latch.Signal();
                   })
          .ok());
 
  latch.Wait();
}
 
TEST_P(ComputeTest, CanCompute1DimensionalData) {
  using CS = SampleComputeShader;
  auto context = GetContext();
  auto host_buffer = CreateHostBufferFromContext(context);
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
 
  using SamplePipelineBuilder = ComputePipelineBuilder<CS>;
  auto pipeline_desc =
      SamplePipelineBuilder::MakeDefaultPipelineDescriptor(*context);
  ASSERT_TRUE(pipeline_desc.has_value());
  auto compute_pipeline =
      context->GetPipelineLibrary()->GetPipeline(pipeline_desc).Get();
  ASSERT_TRUE(compute_pipeline);
 
  auto cmd_buffer = context->CreateCommandBuffer();
  auto pass = cmd_buffer->CreateComputePass();
  ASSERT_TRUE(pass && pass->IsValid());
 
  static constexpr size_t kCount = 5;
 
  pass->SetPipeline(compute_pipeline);
 
  CS::Info info{.count = kCount};
  CS::Input0<kCount> input_0;
  CS::Input1<kCount> input_1;
  for (size_t i = 0; i < kCount; i++) {
    input_0.elements[i] = Vector4(2.0 + i, 3.0 + i, 4.0 + i, 5.0 * i);
    input_1.elements[i] = Vector4(6.0, 7.0, 8.0, 9.0);
  }
 
  input_0.fixed_array[1] = IPoint32(2, 2);
  input_1.fixed_array[0] = UintPoint32(3, 3);
  input_0.some_int = 5;
  input_1.some_struct = CS::SomeStruct{.vf = Point(3, 4), .i = 42};
 
  auto output_buffer = CreateHostVisibleDeviceBuffer<CS::Output<kCount>>(
      context, "Output Buffer");
 
  CS::BindInfo(*pass, host_buffer->EmplaceUniform(info));
  CS::BindInput0(*pass, host_buffer->EmplaceStorageBuffer(input_0));
  CS::BindInput1(*pass, host_buffer->EmplaceStorageBuffer(input_1));
  CS::BindOutput(*pass, DeviceBuffer::AsBufferView(output_buffer));
 
  ASSERT_TRUE(
      pass->Compute({WorkgroupCount(kCount, CS::kWorkgroupSize[0]), 1, 1})
          .ok());
  ASSERT_TRUE(pass->EncodeCommands());
 
  fml::AutoResetWaitableEvent latch;
  ASSERT_TRUE(
      context->GetCommandQueue()
          ->Submit(
              {cmd_buffer},
              [&latch, output_buffer, &input_0,
               &input_1](CommandBuffer::Status status) {
                EXPECT_EQ(status, CommandBuffer::Status::kCompleted);
 
                auto view = DeviceBuffer::AsBufferView(output_buffer);
                EXPECT_EQ(view.GetRange().length, sizeof(CS::Output<kCount>));
 
                CS::Output<kCount>* output =
                    reinterpret_cast<CS::Output<kCount>*>(
                        output_buffer->OnGetContents());
                EXPECT_TRUE(output);
                for (size_t i = 0; i < kCount; i++) {
                  Vector4 vector = output->elements[i];
                  Vector4 computed = input_0.elements[i] * input_1.elements[i];
                  EXPECT_EQ(vector,
                            Vector4(computed.x + 2 + input_1.some_struct.i,
                                    computed.y + 3 + input_1.some_struct.vf.x,
                                    computed.z + 5 + input_1.some_struct.vf.y,
                                    computed.w));
                }
                latch.Signal();
              })
          .ok());
 
  latch.Wait();
}
 
TEST_P(ComputeTest, ReturnsEarlyWhenAnyGridDimensionIsZero) {
  using CS = SampleComputeShader;
  auto context = GetContext();
  auto host_buffer = CreateHostBufferFromContext(context);
  ASSERT_TRUE(context);
  ASSERT_TRUE(context->GetCapabilities()->SupportsCompute());
 
  using SamplePipelineBuilder = ComputePipelineBuilder<CS>;
  auto pipeline_desc =
      SamplePipelineBuilder::MakeDefaultPipelineDescriptor(*context);
  ASSERT_TRUE(pipeline_desc.has_value());
  auto compute_pipeline =
      context->GetPipelineLibrary()->GetPipeline(pipeline_desc).Get();
  ASSERT_TRUE(compute_pipeline);
 
  auto cmd_buffer = context->CreateCommandBuffer();
  auto pass = cmd_buffer->CreateComputePass();
  ASSERT_TRUE(pass && pass->IsValid());
 
  static constexpr size_t kCount = 5;
 
  pass->SetPipeline(compute_pipeline);
 
  CS::Info info{.count = kCount};
  CS::Input0<kCount> input_0;
  CS::Input1<kCount> input_1;
  for (size_t i = 0; i < kCount; i++) {
    input_0.elements[i] = Vector4(2.0 + i, 3.0 + i, 4.0 + i, 5.0 * i);
    input_1.elements[i] = Vector4(6.0, 7.0, 8.0, 9.0);
  }
 
  input_0.fixed_array[1] = IPoint32(2, 2);
  input_1.fixed_array[0] = UintPoint32(3, 3);
  input_0.some_int = 5;
  input_1.some_struct = CS::SomeStruct{.vf = Point(3, 4), .i = 42};
 
  auto output_buffer = CreateHostVisibleDeviceBuffer<CS::Output<kCount>>(
      context, "Output Buffer");
 
  CS::BindInfo(*pass, host_buffer->EmplaceUniform(info));
  CS::BindInput0(*pass, host_buffer->EmplaceStorageBuffer(input_0));
  CS::BindInput1(*pass, host_buffer->EmplaceStorageBuffer(input_1));
  CS::BindOutput(*pass, DeviceBuffer::AsBufferView(output_buffer));
 
  // Intentionally making the workgroup count zero in one dimension. No GPU will
  // tolerate this.
  auto status = pass->Compute({0, 1, 1});
  EXPECT_FALSE(status.ok());
  EXPECT_EQ(status.code(), fml::StatusCode::kCancelled);
  pass->EncodeCommands();
}
 
}  // namespace testing
}  // namespace impeller