Added implementation for adjust_contrast_v2 op and tests.
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e06dfb5dcc
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1575c704ae
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@ -61,6 +61,43 @@ DECLARE_TYPES(adjust_contrast) {
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}
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}
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CONFIGURABLE_OP_IMPL(adjust_contrast_v2, 1, 1, true, 1, 0) {
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auto input = INPUT_VARIABLE(0);
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auto output = OUTPUT_VARIABLE(0);
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const double factor = T_ARG(0);
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REQUIRE_TRUE(input->rankOf() > 2, 0, "ADJUST_CONTRAST: op expects rank of input array to be >= 3, but got %i instead", input->rankOf());
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REQUIRE_TRUE(input->sizeAt(-1) == 3, 0, "ADJUST_CONTRAST: operation expects image with 3 channels (R, G, B), but got %i instead", input->sizeAt(-1));
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// compute mean before
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reduce_mean meanOp;
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auto axes = NDArrayFactory::create<int>('c', {input->rankOf() - 1}, block.launchContext());
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for (int i = 0; i < input->rankOf() -1; i++)
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axes.p(i, i);
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auto meanRes = meanOp.execute({input, &axes}, {}, {});
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REQUIRE_TRUE(meanRes->status() == Status::OK(), 0, "ADJUST_CONTRAST: op should be successful, but error code %i occured.", meanRes->status());
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auto mean = meanRes->at(0);
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// NDArray factorT(output->dataType(), block.launchContext()); // = NDArrayFactory::create(factor, block.launchContext());
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// factorT.p(0, factor);
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// this is contrast calculation
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std::unique_ptr<NDArray> temp(input->dup());
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input->applyTrueBroadcast(BroadcastOpsTuple::Subtract(), mean, temp.get());
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temp->applyScalar(scalar::Multiply, factor);
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temp->applyTrueBroadcast(BroadcastOpsTuple::Add(), mean, output);
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// *output = (*input - *mean) * factorT + *mean;
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delete meanRes;
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return Status::OK();
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}
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DECLARE_TYPES(adjust_contrast_v2) {
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getOpDescriptor()->setAllowedInputTypes(nd4j::DataType::ANY)
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->setAllowedOutputTypes({ALL_FLOATS})
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->setSameMode(true);
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}
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}
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}
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}
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}
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@ -611,6 +611,7 @@ namespace nd4j {
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*/
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*/
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#if NOT_EXCLUDED(OP_adjust_contrast)
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#if NOT_EXCLUDED(OP_adjust_contrast)
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DECLARE_CONFIGURABLE_OP(adjust_contrast, 1, 1, true, 1, 0);
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DECLARE_CONFIGURABLE_OP(adjust_contrast, 1, 1, true, 1, 0);
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DECLARE_CONFIGURABLE_OP(adjust_contrast_v2, 1, 1, true, 1, 0);
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#endif
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#endif
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@ -193,6 +193,42 @@ TEST_F(DeclarableOpsTests15, Test_AdjustContrast_2) {
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delete result;
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delete result;
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}
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}
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TEST_F(DeclarableOpsTests15, Test_AdjustContrast_3) {
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auto x = NDArrayFactory::create<float>('c', {1, 4,4,3});
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auto e = NDArrayFactory::create<float>('c', {1, 4,4,3}, {
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-21.5, -20.5, -19.5, -15.5, -14.5, -13.5, -9.5, -8.5, -7.5, -3.5, -2.5, -1.5,
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2.5, 3.5, 4.5, 8.5, 9.5, 10.5, 14.5, 15.5, 16.5, 20.5, 21.5, 22.5,
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26.5, 27.5, 28.5, 32.5, 33.5, 34.5, 38.5, 39.5, 40.5, 44.5, 45.5, 46.5,
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50.5, 51.5, 52.5, 56.5, 57.5, 58.5, 62.5, 63.5, 64.5, 68.5, 69.5, 70.5
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});
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x.linspace(1.);
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nd4j::ops::adjust_contrast_v2 op;
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auto result = op.execute({&x}, {2.}, {}, {});
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ASSERT_EQ(Status::OK(), result->status());
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auto out = result->at(0);
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// out->printIndexedBuffer("Adjusted Constrast");
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ASSERT_TRUE(e.equalsTo(out));
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delete result;
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}
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TEST_F(DeclarableOpsTests15, Test_AdjustContrast_4) {
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auto x = NDArrayFactory::create<double>('c', {4, 4, 3});
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auto e = NDArrayFactory::create<double>('c', {4, 4, 3}, {
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-21.5, -20.5, -19.5, -15.5, -14.5, -13.5, -9.5, -8.5, -7.5, -3.5, -2.5, -1.5,
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2.5, 3.5, 4.5, 8.5, 9.5, 10.5, 14.5, 15.5, 16.5, 20.5, 21.5, 22.5,
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26.5, 27.5, 28.5, 32.5, 33.5, 34.5, 38.5, 39.5, 40.5, 44.5, 45.5, 46.5,
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50.5, 51.5, 52.5, 56.5, 57.5, 58.5, 62.5, 63.5, 64.5, 68.5, 69.5, 70.5
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});
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x.linspace(1.);
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nd4j::ops::adjust_contrast_v2 op;
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auto result = op.execute({&x}, {2.}, {}, {});
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ASSERT_EQ(Status::OK(), result->status());
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auto out = result->at(0);
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// out->printIndexedBuffer("Adjusted Constrast");
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ASSERT_TRUE(e.equalsTo(out));
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delete result;
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}
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TEST_F(DeclarableOpsTests15, Test_depthwise_bp_1) {
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TEST_F(DeclarableOpsTests15, Test_depthwise_bp_1) {
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auto in = NDArrayFactory::create<float>('c', {4, 8, 64, 64});
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auto in = NDArrayFactory::create<float>('c', {4, 8, 64, 64});
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auto w = NDArrayFactory::create<float>('c', {2, 2, 8, 2});
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auto w = NDArrayFactory::create<float>('c', {2, 2, 8, 2});
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