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Results 1 - 2 of 2 for TestTensorHandleWithDims (0.11 sec)
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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 - Viewed (0) -
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 - Viewed (0)