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Results 1 - 3 of 3 for TF_FLOAT (0.05 sec)
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tensorflow/c/eager/gradient_checker.cc
AbstractTensorHandlePtr two_eps; { AbstractTensorHandle* two_eps_raw = nullptr; TF_RETURN_IF_ERROR(TestScalarTensorHandle<float, TF_FLOAT>( ctx, 2 * epsilon, &two_eps_raw)); two_eps.reset(two_eps_raw); } // Initialize theta[i] + epsilon. memcpy(thetaPlus_data.data(), TF_TensorData(theta_tensor),
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
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}; int64_t B_dims[] = {2, 2}; AbstractTensorHandlePtr B; { AbstractTensorHandle* B_raw; absl::Status s = TestTensorHandleWithDims<float, TF_FLOAT>( ctx_.get(), B_vals, B_dims, 2, &B_raw);
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 6.5K bytes - Viewed (0) -
tensorflow/c/eager/gradients_test.cc
ctx.reset(ctx_raw); } AbstractTensorHandlePtr t; { AbstractTensorHandle* x_raw = nullptr; absl::Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); t.reset(x_raw); } AbstractOperationPtr check_numerics_op(ctx->CreateOperation()); ForwardOperation forward_op;
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 7K bytes - Viewed (0)