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Method Compute

en_ops/e_one_hot.cc:49–76  ·  view source on GitHub ↗

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47 OP_REQUIRES(context, lib != NULL, errors::Unknown("Unable to load sgx.so!"));
48 }
49 void Compute(OpKernelContext *context) override
50 {
51 const Tensor &input = context->input(0);
52 auto input_flat = input.flat<float>();
53
54 const TensorShape &input_shape = input.shape();
55
56 TensorShape output_shape;
57 output_shape.AddDim(input_shape.dim_size(0));
58 output_shape.AddDim(input_shape.dim_size(2));
59 output_shape.AddDim(alpha_);
60
61 Tensor *output = NULL;
62 OP_REQUIRES_OK(context, context->allocate_output(0, output_shape, &output));
63 auto output_flat = output->flat<float>();
64 int N = input_flat.size() / times_;
65 int M = input_shape.dim_size(0) / times_;
66 int C = input_shape.dim_size(1);
67 int L = input_shape.dim_size(2);
68
69 unsigned long int eid_ = (eid_high_ << 32) + eid_low_;
70 typedef void (*function)(unsigned long int eid, float *input, int N, int M, int C, int L, float *output, int alpha);
71 dlerror();
72 function onehot_kernel = (function)dlsym(lib, "onehot");
73 const char *dlsym_error = dlerror();
74 OP_REQUIRES(context, !dlsym_error, errors::Unknown("loading of onehot failed: ", dlsym_error));
75 onehot_kernel(eid_, (float *)input_flat.data(), N, M, C, L, (float *)output_flat.data(), alpha_);
76 };
77
78private:
79 void *lib;

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