Add inference example and unit-test for fit-a-line book chapter #8208
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Xreki
reviewed
Feb 9, 2018
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| DEFINE_string(dirname, "", "Directory of the inference model."); | ||
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| TEST(inference, label_semantic_roles) { |
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label_semantic_roles -> fit_a_line
| // The second dim of the input tensor should be 13 | ||
| // The input data should be >= 0 | ||
| SetupTensor<float>( | ||
| input, {10, 13}, static_cast<float>(0), static_cast<float>(10)); |
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Define a variable int64_t batch_size = 10, then use {batch_size, 13} here.
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| # The input's dimension should be 2-D and the second dim is 13 | ||
| # The input data should be >= 0 | ||
| tensor_x = numpy.random.uniform(0, 10, [10, 13]).astype("float32") |
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Same here. Define batch_size = 10, and use [batch_size, 13] here.
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Need to update to the develop branch because the definition of |
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fix #8201