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Cleaned up a test
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@ -184,8 +184,8 @@ static void test_argmax_dim()
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tensor_argmax = tensor.argmax(dim);
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tensor_argmax = tensor.argmax(dim);
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VERIFY_IS_EQUAL(tensor_argmax.dimensions().TotalSize(),
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VERIFY_IS_EQUAL(tensor_argmax.size(),
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size_t(2*3*5*7 / tensor.dimension(dim)));
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ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
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for (ptrdiff_t n = 0; n < tensor_argmax.size(); ++n) {
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for (ptrdiff_t n = 0; n < tensor_argmax.size(); ++n) {
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// Expect max to be in the first index of the reduced dimension
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// Expect max to be in the first index of the reduced dimension
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VERIFY_IS_EQUAL(tensor_argmax.data()[n], 0);
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VERIFY_IS_EQUAL(tensor_argmax.data()[n], 0);
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@ -208,7 +208,7 @@ static void test_argmax_dim()
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VERIFY_IS_EQUAL(tensor_argmax.size(),
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VERIFY_IS_EQUAL(tensor_argmax.size(),
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ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
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ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
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for (ptrdiff_t n = 0; n < tensor_argmax.dimensions().TotalSize(); ++n) {
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for (ptrdiff_t n = 0; n < tensor_argmax.size(); ++n) {
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// Expect max to be in the last index of the reduced dimension
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// Expect max to be in the last index of the reduced dimension
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VERIFY_IS_EQUAL(tensor_argmax.data()[n], tensor.dimension(dim) - 1);
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VERIFY_IS_EQUAL(tensor_argmax.data()[n], tensor.dimension(dim) - 1);
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}
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}
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@ -242,8 +242,8 @@ static void test_argmin_dim()
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tensor_argmin = tensor.argmin(dim);
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tensor_argmin = tensor.argmin(dim);
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VERIFY_IS_EQUAL(tensor_argmin.dimensions().TotalSize(),
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VERIFY_IS_EQUAL(tensor_argmin.size(),
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size_t(2*3*5*7 / tensor.dimension(dim)));
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ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
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for (ptrdiff_t n = 0; n < tensor_argmin.size(); ++n) {
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for (ptrdiff_t n = 0; n < tensor_argmin.size(); ++n) {
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// Expect min to be in the first index of the reduced dimension
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// Expect min to be in the first index of the reduced dimension
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VERIFY_IS_EQUAL(tensor_argmin.data()[n], 0);
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VERIFY_IS_EQUAL(tensor_argmin.data()[n], 0);
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@ -266,7 +266,7 @@ static void test_argmin_dim()
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VERIFY_IS_EQUAL(tensor_argmin.size(),
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VERIFY_IS_EQUAL(tensor_argmin.size(),
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ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
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ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
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for (ptrdiff_t n = 0; n < tensor_argmin.dimensions().TotalSize(); ++n) {
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for (ptrdiff_t n = 0; n < tensor_argmin.size(); ++n) {
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// Expect min to be in the last index of the reduced dimension
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// Expect min to be in the last index of the reduced dimension
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VERIFY_IS_EQUAL(tensor_argmin.data()[n], tensor.dimension(dim) - 1);
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VERIFY_IS_EQUAL(tensor_argmin.data()[n], tensor.dimension(dim) - 1);
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}
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}
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