test/cpp/jit/test_interpreter.h

#pragma once

#include "test/cpp/jit/test_base.h"
#include "test/cpp/jit/test_utils.h"

namespace torch {
namespace jit {
namespace test {

void testInterp() {
  constexpr int batch_size = 4;
  constexpr int input_size = 256;
  constexpr int seq_len = 32;

  int hidden_size = 2 * input_size;

  auto input = at::randn({seq_len, batch_size, input_size}, at::kCUDA);
  auto hx = at::randn({batch_size, hidden_size}, at::kCUDA);
  auto cx = at::randn({batch_size, hidden_size}, at::kCUDA);
  auto w_ih = t_def(at::randn({4 * hidden_size, input_size}, at::kCUDA));
  auto w_hh = t_def(at::randn({4 * hidden_size, hidden_size}, at::kCUDA));

  auto lstm_g = build_lstm();
  Code lstm_function(lstm_g);
  InterpreterState lstm_interp(lstm_function);
  auto outputs = run(lstm_interp, {input[0], hx, cx, w_ih, w_hh});
  std::tie(hx, cx) = lstm(input[0], hx, cx, w_ih, w_hh);

  // std::cout << almostEqual(outputs[0],hx) << "\n";
  ASSERT_TRUE(exactlyEqual(outputs[0], hx));
  ASSERT_TRUE(exactlyEqual(outputs[1], cx));
}
} // namespace test
} // namespace jit
} // namespace torch