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Results 1 - 2 of 2 for TestTensorHandleWithDims (0.11 sec)

  1. tensorflow/c/eager/gradient_checker.cc

      {
        vector<int32_t> vals(num_dims_out);
        int64_t vals_shape[] = {num_dims_out};
        Range(&vals, 0, num_dims_out);
        AbstractTensorHandle* sum_dims_raw = nullptr;
        TF_RETURN_IF_ERROR(TestTensorHandleWithDims<int32_t, TF_INT32>(
            ctx, vals.data(), vals_shape, 1, &sum_dims_raw));
        sum_dims.reset(sum_dims_raw);
      }
    
      // Reduce sum the output on all dimensions.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 7.3K bytes
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  2. tensorflow/c/eager/gradient_checker_test.cc

    TEST_P(GradientCheckerTest, TestMatMul) {
      float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f};
      int64_t A_dims[] = {2, 2};
      AbstractTensorHandlePtr A;
      {
        AbstractTensorHandle* A_raw;
        absl::Status s = TestTensorHandleWithDims<float, TF_FLOAT>(
            ctx_.get(), A_vals, A_dims, 2, &A_raw);
        ASSERT_EQ(errors::OK, s.code()) << s.message();
        A.reset(A_raw);
      }
      float B_vals[] = {.5f, -1.0f, 1.0f, 1.0f};
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 6.5K bytes
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