Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op. Final revision.
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02d8616692
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d5b352273d
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@ -81,19 +81,24 @@ namespace helpers {
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static __global__ void fakeQuantWithMinMaxKernel(T* input, Nd4jLong* inputShape, T* min, T* max,
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int lowIntBound, int upperIntBound, Nd4jLong channels,
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T* output, Nd4jLong* outputShape, Nd4jLong length) {
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__shared__ int block;
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if (threadIdx.x == 0) {
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block = length / channels;
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}
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__syncthreads();
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for (auto i = blockIdx.x; i < (int)channels; i += gridDim.x) {
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T scale, nudged_min, nudged_max;
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Nudge(min[i], max[i], lowIntBound, upperIntBound, &scale, &nudged_min, &nudged_max);
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//auto wiseMinMaxAndSoOn = LAMBDA_T(x, nudged_min, nudged_max, scale) {
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for (auto e = threadIdx.x; e < (int)length; e += (int)channels) {
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T val = input[shape::getIndexOffset(e + i, inputShape)];
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for (auto e = threadIdx.x; e < block; e += blockDim.x) {
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T val = input[shape::getIndexOffset(e * channels + i, inputShape)];
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if (val < nudged_min) {
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val = nudged_min;
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} else if (val > nudged_max) {
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val = nudged_max;
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}
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output[shape::getIndexOffset(e + i, outputShape)] = (math::nd4j_floor<T, T>((val - nudged_min) / scale + T(0.5)) * scale + nudged_min);
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output[shape::getIndexOffset(e* channels + i, outputShape)] = (math::nd4j_floor<T, T>((val - nudged_min) / scale + T(0.5)) * scale + nudged_min);
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};
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}
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@ -111,7 +116,7 @@ namespace helpers {
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T* outputBuf = output->dataBuffer()->specialAsT<T>();
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T* minBuf = min->dataBuffer()->specialAsT<T>();
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T* maxBuf = max->dataBuffer()->specialAsT<T>();
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fakeQuantWithMinMaxKernel<<<1, 1, 256, *stream>>>(inputBuf, input->specialShapeInfo(),
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fakeQuantWithMinMaxKernel<<<128, 256, 256, *stream>>>(inputBuf, input->specialShapeInfo(),
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minBuf, maxBuf, lowIntBound, upperIntBound, channels, outputBuf, output->specialShapeInfo(), length);
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NDArray::registerSpecialUse({output}, {min, max, input});
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@ -2127,8 +2127,8 @@ TEST_F(DeclarableOpsTests10, FakeQuantWithMinMaxVars_Test_1) {
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ASSERT_EQ(ND4J_STATUS_OK, results->status());
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auto result = results->at(0);
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result->printBuffer("Quantized");
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exp.printBuffer("Expected");
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// result->printBuffer("Quantized");
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// exp.printBuffer("Expected");
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ASSERT_TRUE(exp.isSameShapeStrict(result));
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ASSERT_TRUE(exp.equalsTo(result));
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