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GPU impl. of hue adjustment op (tensorflow#6818)
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| Original file line number | Diff line number | Diff line change |
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| /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| ==============================================================================*/ | ||
| #ifndef _TENSORFLOW_CORE_KERNELS_ADJUST_HUE_OP_H | ||
| #define _TENSORFLOW_CORE_KERNELS_ADJUST_HUE_OP_H | ||
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| #if GOOGLE_CUDA | ||
| #define EIGEN_USE_GPU | ||
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| #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" | ||
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| namespace tensorflow { | ||
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| typedef Eigen::GpuDevice GPUDevice; | ||
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| namespace functor { | ||
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| struct AdjustHueGPU { | ||
| void operator()( | ||
| GPUDevice* device, | ||
| const int64 number_of_elements, | ||
| const float* const input, | ||
| const float* const delta, | ||
| float* const output | ||
| ); | ||
| }; | ||
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| } // namespace functor | ||
| } // namespace tensorflow | ||
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| #endif // GOOGLE_CUDA | ||
| #endif // _TENSORFLOW_CORE_KERNELS_ADJUST_HUE_OP_H |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,141 @@ | ||
| /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| ==============================================================================*/ | ||
|
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| #if GOOGLE_CUDA | ||
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| #define EIGEN_USE_GPU | ||
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| #include "tensorflow/core/framework/register_types.h" | ||
| #include "tensorflow/core/kernels/adjust_hue_op.h" | ||
| #include "tensorflow/core/util/cuda_kernel_helper.h" | ||
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| namespace tensorflow { | ||
| namespace internal { | ||
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| namespace { | ||
| typedef struct RgbTuple { | ||
| float r; | ||
| float g; | ||
| float b; | ||
| } RgbTuple; | ||
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| typedef struct HsvTuple { | ||
| float h; | ||
| float s; | ||
| float v; | ||
| } HsvTuple; | ||
| } // anon namespace | ||
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| __device__ HsvTuple rgb2hsv_cuda(const float r, const float g, const float b) | ||
| { | ||
| HsvTuple tuple; | ||
| const float M = fmaxf(r, fmaxf(g, b)); | ||
| const float m = fminf(r, fminf(g, b)); | ||
| const float chroma = M - m; | ||
| float h = 0.0f, s = 0.0f; | ||
| // hue | ||
| if (chroma > 0.0f) { | ||
| if (M == r) { | ||
| const float num = (g - b) / chroma; | ||
| const float sign = copysignf(1.0f, num); | ||
| h = ((sign < 0.0f) * 6.0f + sign * fmodf(sign * num, 6.0f)) / 6.0f; | ||
| } else if (M == g) { | ||
| h = ((b - r) / chroma + 2.0f) / 6.0f; | ||
| } else { | ||
| h = ((r - g) / chroma + 4.0f) / 6.0f; | ||
| } | ||
| } else { | ||
| h = 0.0f; | ||
| } | ||
| // saturation | ||
| if (M > 0.0) { | ||
| s = chroma / M; | ||
| } else { | ||
| s = 0.0f; | ||
| } | ||
| tuple.h = h; | ||
| tuple.s = s; | ||
| tuple.v = M; | ||
| return tuple; | ||
| } | ||
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| __device__ RgbTuple hsv2rgb_cuda(const float h, const float s, const float v) | ||
| { | ||
| RgbTuple tuple; | ||
| const float new_h = h * 6.0f; | ||
| const float chroma = v * s; | ||
| const float x = chroma * (1.0f - fabsf(fmodf(new_h, 2.0f) - 1.0f)); | ||
| const float new_m = v - chroma; | ||
| const bool between_0_and_1 = new_h >= 0.0f && new_h < 1.0f; | ||
| const bool between_1_and_2 = new_h >= 1.0f && new_h < 2.0f; | ||
| const bool between_2_and_3 = new_h >= 2.0f && new_h < 3.0f; | ||
| const bool between_3_and_4 = new_h >= 3.0f && new_h < 4.0f; | ||
| const bool between_4_and_5 = new_h >= 4.0f && new_h < 5.0f; | ||
| const bool between_5_and_6 = new_h >= 5.0f && new_h < 6.0f; | ||
| tuple.r = chroma * (between_0_and_1 || between_5_and_6) + | ||
| x * (between_1_and_2 || between_4_and_5) + new_m; | ||
| tuple.g = chroma * (between_1_and_2 || between_2_and_3) + | ||
| x * (between_0_and_1 || between_3_and_4) + new_m; | ||
| tuple.b = chroma * (between_3_and_4 || between_4_and_5) + | ||
| x * (between_2_and_3 || between_5_and_6) + new_m; | ||
| return tuple; | ||
| } | ||
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| __global__ void adjust_hue_nhwc(const int64 number_elements, | ||
| const float * const __restrict__ input, | ||
| float * const output, | ||
| const float * const hue_delta) | ||
| { | ||
| // multiply by 3 since we're dealing with contiguous RGB bytes for each pixel (NHWC) | ||
| const int64 idx = (blockDim.x * blockIdx.x + threadIdx.x) * 3; | ||
| // bounds check | ||
| if (idx > number_elements - 1) { | ||
| return; | ||
| } | ||
| const float delta = hue_delta[0]; | ||
| const HsvTuple hsv = rgb2hsv_cuda(input[idx], input[idx + 1], input[idx + 2]); | ||
| // hue adjustment | ||
| float new_h = fmodf(hsv.h + delta, 1.0f); | ||
| if (new_h < 0.0f) { | ||
| new_h = fmodf(1.0f + new_h, 1.0f); | ||
| } | ||
| const RgbTuple rgb = hsv2rgb_cuda(new_h, hsv.s, hsv.v); | ||
| output[idx] = rgb.r; | ||
| output[idx + 1] = rgb.g; | ||
| output[idx + 2] = rgb.b; | ||
| } | ||
| } // namespace internal | ||
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| namespace functor { | ||
|
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| void AdjustHueGPU::operator()( | ||
| GPUDevice* device, | ||
| const int64 number_of_elements, | ||
| const float* const input, | ||
| const float* const delta, | ||
| float* const output | ||
| ) { | ||
| const auto stream = device->stream(); | ||
| const CudaLaunchConfig config = GetCudaLaunchConfig(number_of_elements, *device); | ||
| const int threads_per_block = config.thread_per_block; | ||
| const int block_count = (number_of_elements + threads_per_block - 1) / threads_per_block; | ||
| internal::adjust_hue_nhwc<<<block_count, threads_per_block, 0, stream>>>( | ||
| number_of_elements, input, output, delta | ||
| ); | ||
| } | ||
| } // namespace functor | ||
| } // namespace tensorflow | ||
| #endif // GOOGLE_CUDA |
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