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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2014-10-13 17:02:09 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2014-10-13 17:02:09 -0700
commit99d75235a9567865d2c070a2840d54c8a5ad0f43 (patch)
tree8ef64899252a8be7b6a868bd64bd167063ea4b2d /unsupported/test/cxx11_tensor_convolution.cpp
parent4c70b0a7627d45286ecbb3c73d2d774412168205 (diff)
Misc improvements and cleanups
Diffstat (limited to 'unsupported/test/cxx11_tensor_convolution.cpp')
-rw-r--r--unsupported/test/cxx11_tensor_convolution.cpp70
1 files changed, 70 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_convolution.cpp b/unsupported/test/cxx11_tensor_convolution.cpp
index bafe73edd..4672db463 100644
--- a/unsupported/test/cxx11_tensor_convolution.cpp
+++ b/unsupported/test/cxx11_tensor_convolution.cpp
@@ -64,8 +64,78 @@ static void test_expr()
}
+static void test_modes() {
+ Tensor<float, 1> input(3);
+ Tensor<float, 1> kernel(3);
+ input(0) = 1.0f;
+ input(1) = 2.0f;
+ input(2) = 3.0f;
+ kernel(0) = 0.5f;
+ kernel(1) = 1.0f;
+ kernel(2) = 0.0f;
+
+ const Eigen::array<ptrdiff_t, 1> dims{{0}};
+ Eigen::array<std::pair<ptrdiff_t, ptrdiff_t>, 1> padding;
+
+ // Emulate VALID mode (as defined in
+ // http://docs.scipy.org/doc/numpy/reference/generated/numpy.convolve.html).
+ padding[0] = std::make_pair(0, 0);
+ Tensor<float, 1> valid(1);
+ valid = input.pad(padding).convolve(kernel, dims);
+ VERIFY_IS_EQUAL(valid.dimension(0), 1);
+ VERIFY_IS_APPROX(valid(0), 2.5f);
+
+ // Emulate SAME mode (as defined in
+ // http://docs.scipy.org/doc/numpy/reference/generated/numpy.convolve.html).
+ padding[0] = std::make_pair(1, 1);
+ Tensor<float, 1> same(3);
+ same = input.pad(padding).convolve(kernel, dims);
+ VERIFY_IS_EQUAL(same.dimension(0), 3);
+ VERIFY_IS_APPROX(same(0), 1.0f);
+ VERIFY_IS_APPROX(same(1), 2.5f);
+ VERIFY_IS_APPROX(same(2), 4.0f);
+
+ // Emulate FULL mode (as defined in
+ // http://docs.scipy.org/doc/numpy/reference/generated/numpy.convolve.html).
+ padding[0] = std::make_pair(2, 2);
+ Tensor<float, 1> full(5);
+ full = input.pad(padding).convolve(kernel, dims);
+ VERIFY_IS_EQUAL(full.dimension(0), 5);
+ VERIFY_IS_APPROX(full(0), 0.0f);
+ VERIFY_IS_APPROX(full(1), 1.0f);
+ VERIFY_IS_APPROX(full(2), 2.5f);
+ VERIFY_IS_APPROX(full(3), 4.0f);
+ VERIFY_IS_APPROX(full(4), 1.5f);
+}
+
+
+static void test_strides() {
+ Tensor<float, 1> input(13);
+ Tensor<float, 1> kernel(3);
+ input.setRandom();
+ kernel.setRandom();
+
+ const Eigen::array<ptrdiff_t, 1> dims{{0}};
+ const Eigen::array<ptrdiff_t, 1> stride_of_3{{3}};
+ const Eigen::array<ptrdiff_t, 1> stride_of_2{{2}};
+
+ Tensor<float, 1> result;
+ result = input.stride(stride_of_3).convolve(kernel, dims).stride(stride_of_2);
+
+ VERIFY_IS_EQUAL(result.dimension(0), 2);
+ VERIFY_IS_APPROX(result(0), (input(0)*kernel(0) + input(3)*kernel(1) +
+ input(6)*kernel(2)));
+ VERIFY_IS_APPROX(result(1), (input(6)*kernel(0) + input(9)*kernel(1) +
+ input(12)*kernel(2)));
+}
+
+
+
+
void test_cxx11_tensor_convolution()
{
CALL_SUBTEST(test_evals());
CALL_SUBTEST(test_expr());
+ CALL_SUBTEST(test_modes());
+ CALL_SUBTEST(test_strides());
}