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| author | David Gross <dgross@google.com> | 2018-06-01 11:01:12 -0700 |
|---|---|---|
| committer | Xusong Wang <xusongw@google.com> | 2019-01-29 10:22:18 -0800 |
| commit | e3c4aae19120a8fdb870fc2ca78b38bad8de5947 (patch) | |
| tree | 80bb04c18a23a97a6e62125110790b10393edc3e /nn/runtime/test/TestValidation.cpp | |
| parent | dd6832093b3eaa0361f443bedb8ba4b8db017518 (diff) | |
| download | ml-e3c4aae19120a8fdb870fc2ca78b38bad8de5947.tar.gz | |
Document, support, and test unspecified dimension.
A tensor operand type with some number of unspecified dimensions is
represented by setting each unspecified dimension to 0. A tensor operand
type of unspecified rank is represented by setting dimensionCount to 0
and dimensions to NULL.
Tensor with unspecified dimensions can not have value and can not be as
model input at execution time, but is allowed for output. Enable checks
and tests for it.
Bug: 77234888
Bug: 73506513
Test: NeuralNetworksTest_static
Change-Id: I4b6281cdd7758054a1a43ac34f39fc9c7bfead9b
Diffstat (limited to 'nn/runtime/test/TestValidation.cpp')
| -rw-r--r-- | nn/runtime/test/TestValidation.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/nn/runtime/test/TestValidation.cpp b/nn/runtime/test/TestValidation.cpp index f76df9f3d..2d8052a79 100644 --- a/nn/runtime/test/TestValidation.cpp +++ b/nn/runtime/test/TestValidation.cpp @@ -200,10 +200,10 @@ TEST_F(ValidationTestModel, AddOperand) { EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &quant8TypeInvalidZeroPoint), ANEURALNETWORKS_BAD_DATA); - uint32_t dim = 2; + const uint32_t dim = 2; ANeuralNetworksOperandType invalidScalarType{ .type = ANEURALNETWORKS_INT32, - // scalar types can only 0 dimensions. + // a scalar type must have 0 dimensions. .dimensionCount = 1, .dimensions = &dim, }; |