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12 changes: 12 additions & 0 deletions benchmarks/scripts/BUILD
Original file line number Diff line number Diff line change
Expand Up @@ -19,11 +19,19 @@ licenses(["notice"])
# Export for the PIP package.
exports_files(["__init__.py"])

py_library(
name = "benchmark_flags",
srcs = ["flags.py"],
)

py_test(
name = "benchmark_clifford_circuit",
srcs = ["benchmark_clifford_circuit.py"],
python_version = "PY3",
deps = [
":benchmark_flags",
":benchmark_util",
"//benchmarks/scripts/models:random_clifford_circuit",
"//tensorflow_quantum/core/ops:tfq_simulate_ops_py",
"//tensorflow_quantum/core/serialize:serializer",
"@local_config_tf//:test_log_pb2",
Expand All @@ -35,6 +43,8 @@ py_test(
srcs = ["benchmark_random_circuit.py"],
python_version = "PY3",
deps = [
":benchmark_flags",
":benchmark_util",
"//tensorflow_quantum/core/ops:tfq_simulate_ops_py",
"//tensorflow_quantum/core/serialize:serializer",
"@local_config_tf//:test_log_pb2",
Expand All @@ -46,6 +56,8 @@ py_test(
srcs = ["benchmark_op_gradients.py"],
python_version = "PY3",
deps = [
":benchmark_flags",
":benchmark_util",
"//tensorflow_quantum/core/ops:batch_util",
"//tensorflow_quantum/core/ops:cirq_ops",
"//tensorflow_quantum/core/ops:tfq_simulate_ops_py",
Expand Down
8 changes: 4 additions & 4 deletions benchmarks/scripts/benchmark_op_gradients.py
Original file line number Diff line number Diff line change
Expand Up @@ -127,7 +127,7 @@ def setup(self):
for resolver in resolver_batch],
dtype=np.float32)

self.symbol_names = symbol_names
self.symbol_names_tensor = tf.convert_to_tensor(symbol_names)
self.symbol_values_tensor = tf.convert_to_tensor(symbol_values_array)
self.programs = util.convert_to_tensor(circuit_batch)
self.psums = util.convert_to_tensor([psums])
Expand All @@ -140,15 +140,15 @@ def _benchmark_tfq_differentiator(self, differentiator, params):
analytic_op=tfq_simulate_ops.tfq_simulate_expectation)

for _ in range(params.n_burn):
op(self.programs, self.symbol_names, self.symbol_values_tensor,
self.psums)
op(self.programs, self.symbol_names_tensor,
self.symbol_values_tensor, self.psums)

deltas = [None] * params.n_runs
for i in range(params.n_runs):
start = time.perf_counter()
with tf.GradientTape() as g:
g.watch(self.symbol_values_tensor)
expectations = op(self.programs, self.symbol_names,
expectations = op(self.programs, self.symbol_names_tensor,
self.symbol_values_tensor, self.psums)
g.gradient(expectations, self.symbol_values_tensor)
deltas[i] = time.perf_counter() - start
Expand Down
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