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https://github.com/lordmathis/CUDANet.git
synced 2025-11-06 09:44:28 +00:00
Switch padding kernel to row major
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@@ -35,13 +35,13 @@ TEST(PaddingTest, SimplePaddingTest) {
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8 9
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10 11
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Represented as column major vector:
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Represented as a vector:
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0 2 4 1 3 5 6 8 10 7 9 11
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0 1 2 3 4 5 6 7 8 9 10 11
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*/
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std::vector<float> input = {0.0f, 2.0f, 4.0f, 1.0f, 3.0f, 5.0f,
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6.0f, 8.0f, 10.0f, 7.0f, 9.0f, 11.0f};
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std::vector<float> input = {0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f,
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6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f};
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cudaStatus = cudaMemcpy(
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d_input, input.data(), sizeof(float) * inputSize, cudaMemcpyHostToDevice
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@@ -57,12 +57,22 @@ TEST(PaddingTest, SimplePaddingTest) {
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cudaStatus = cudaDeviceSynchronize();
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EXPECT_EQ(cudaStatus, cudaSuccess);
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// clang-format off
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std::vector<float> expectedOutput = {
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0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 2.0f, 4.0f, 0.0f,
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0.0f, 1.0f, 3.0f, 5.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
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0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 6.0f, 8.0f, 10.0f, 0.0f,
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0.0f, 7.0f, 9.0f, 11.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f
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// channel 0
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0.0f, 0.0f, 0.0f, 0.0f,
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0.0f, 0.0f, 1.0f, 0.0f,
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0.0f, 2.0f, 3.0f, 0.0f,
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0.0f, 4.0f, 5.0f, 0.0f,
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0.0f, 0.0f, 0.0f, 0.0f,
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// channel 1
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0.0f, 0.0f, 0.0f, 0.0f,
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0.0f, 6.0f, 7.0f, 0.0f,
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0.0f, 8.0f, 9.0f, 0.0f,
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0.0f, 10.0f, 11.0f, 0.0f,
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0.0f, 0.0f, 0.0f, 0.0f
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};
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// clang-format on
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std::vector<float> output(paddedSize);
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@@ -75,4 +85,8 @@ TEST(PaddingTest, SimplePaddingTest) {
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for (int i = 0; i < paddedSize; i++) {
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EXPECT_NEAR(expectedOutput[i], output[i], 1e-5);
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}
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cudaFree(d_input);
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cudaFree(d_padded);
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}
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