From 05c046319ebcbeecf80c59f46f22504e26829585 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 8 Oct 2024 13:52:18 +0200 Subject: [PATCH 01/40] feat: remove tf backend --- src/qibo/backends/tensorflow.py | 238 -------------------------------- 1 file changed, 238 deletions(-) delete mode 100644 src/qibo/backends/tensorflow.py diff --git a/src/qibo/backends/tensorflow.py b/src/qibo/backends/tensorflow.py deleted file mode 100644 index 2088cd69be..0000000000 --- a/src/qibo/backends/tensorflow.py +++ /dev/null @@ -1,238 +0,0 @@ -import collections -import os - -import numpy as np - -from qibo import __version__ -from qibo.backends.npmatrices import NumpyMatrices -from qibo.backends.numpy import NumpyBackend -from qibo.config import TF_LOG_LEVEL, log, raise_error - - -class TensorflowMatrices(NumpyMatrices): - # Redefine parametrized gate matrices for backpropagation to work - - def __init__(self, dtype): - super().__init__(dtype) - import tensorflow as tf # pylint: disable=import-error - import tensorflow.experimental.numpy as tnp # pylint: disable=import-error - - self.tf = tf - self.np = tnp - self.np.linalg = tf.linalg - - def _cast(self, x, dtype): - return self.tf.cast(x, dtype=dtype) - - def Unitary(self, u): - return self._cast(u, dtype=self.dtype) - - -class TensorflowBackend(NumpyBackend): - def __init__(self): - super().__init__() - self.name = "tensorflow" - os.environ["TF_CPP_MIN_LOG_LEVEL"] = str(TF_LOG_LEVEL) - - import tensorflow as tf # pylint: disable=import-error - import tensorflow.experimental.numpy as tnp # pylint: disable=import-error - - if TF_LOG_LEVEL >= 2: - tf.get_logger().setLevel("ERROR") - - tnp.experimental_enable_numpy_behavior() - self.tf = tf - self.np = tnp - self.np.flatnonzero = np.flatnonzero - self.np.copy = np.copy - - self.versions = { - "qibo": __version__, - "numpy": np.__version__, - "tensorflow": tf.__version__, - } - - self.matrices = TensorflowMatrices(self.dtype) - - from tensorflow.python.framework import ( # pylint: disable=E0611,import-error - errors_impl, - ) - - self.oom_error = errors_impl.ResourceExhaustedError - - cpu_devices = tf.config.list_logical_devices("CPU") - gpu_devices = tf.config.list_logical_devices("GPU") - if gpu_devices: # pragma: no cover - # CI does not use GPUs - self.device = gpu_devices[0].name - elif cpu_devices: - self.device = cpu_devices[0].name - - self.nthreads = 0 - - self.tensor_types = (np.ndarray, tf.Tensor, tf.Variable) - - def set_device(self, device): # pragma: no cover - self.device = device - - def set_threads(self, nthreads): - log.warning( - "`set_threads` is not supported by the tensorflow " - "backend. Please use tensorflow's thread setters: " - "`tf.config.threading.set_inter_op_parallelism_threads` " - "or `tf.config.threading.set_intra_op_parallelism_threads` " - "to switch the number of threads." - ) - - def cast(self, x, dtype=None, copy=False): - if dtype is None: - dtype = self.dtype - x = self.tf.cast(x, dtype=dtype) - if copy: - return self.tf.identity(x) - return x - - def is_sparse(self, x): - return isinstance(x, self.tf.sparse.SparseTensor) - - def to_numpy(self, x): - return np.array(x) - - def compile(self, func): - return self.tf.function(func) - - def zero_state(self, nqubits): - idx = self.tf.constant([[0]], dtype="int32") - state = self.tf.zeros((2**nqubits,), dtype=self.dtype) - update = self.tf.constant([1], dtype=self.dtype) - state = self.tf.tensor_scatter_nd_update(state, idx, update) - return state - - def zero_density_matrix(self, nqubits): - idx = self.tf.constant([[0, 0]], dtype="int32") - state = self.tf.zeros(2 * (2**nqubits,), dtype=self.dtype) - update = self.tf.constant([1], dtype=self.dtype) - state = self.tf.tensor_scatter_nd_update(state, idx, update) - return state - - def matrix(self, gate): - npmatrix = super().matrix(gate) - return self.tf.cast(npmatrix, dtype=self.dtype) - - def matrix_parametrized(self, gate): - npmatrix = super().matrix_parametrized(gate) - return self.tf.cast(npmatrix, dtype=self.dtype) - - def matrix_fused(self, gate): - npmatrix = super().matrix_fused(gate) - return self.tf.cast(npmatrix, dtype=self.dtype) - - def execute_circuit(self, circuit, initial_state=None, nshots=1000): - with self.tf.device(self.device): - return super().execute_circuit(circuit, initial_state, nshots) - - def execute_circuit_repeated(self, circuit, nshots, initial_state=None): - with self.tf.device(self.device): - return super().execute_circuit_repeated(circuit, nshots, initial_state) - - def sample_shots(self, probabilities, nshots): - # redefining this because ``tnp.random.choice`` is not available - logits = self.tf.math.log(probabilities)[self.tf.newaxis] - samples = self.tf.random.categorical(logits, nshots)[0] - return samples - - def samples_to_binary(self, samples, nqubits): - # redefining this because ``tnp.right_shift`` is not available - qrange = self.np.arange(nqubits - 1, -1, -1, dtype="int32") - samples = self.tf.cast(samples, dtype="int32") - samples = self.tf.bitwise.right_shift(samples[:, self.np.newaxis], qrange) - return self.tf.math.mod(samples, 2) - - def calculate_frequencies(self, samples): - # redefining this because ``tnp.unique`` is not available - res, _, counts = self.tf.unique_with_counts(samples, out_idx="int64") - res, counts = self.np.array(res), self.np.array(counts) - if res.dtype == "string": - res = [r.numpy().decode("utf8") for r in res] - else: - res = [int(r) for r in res] - return collections.Counter({k: int(v) for k, v in zip(res, counts)}) - - def update_frequencies(self, frequencies, probabilities, nsamples): - # redefining this because ``tnp.unique`` and tensor update is not available - samples = self.sample_shots(probabilities, nsamples) - res, _, counts = self.tf.unique_with_counts(samples, out_idx="int64") - frequencies = self.tf.tensor_scatter_nd_add( - frequencies, res[:, self.tf.newaxis], counts - ) - return frequencies - - def calculate_norm(self, state, order=2): - state = self.cast(state) - return self.tf.norm(state, ord=order) - - def calculate_norm_density_matrix(self, state, order="nuc"): - state = self.cast(state) - if order == "nuc": - return self.np.trace(state) - return self.tf.norm(state, ord=order) - - def calculate_eigenvalues(self, matrix, k: int = 6, hermitian: bool = True): - if hermitian: - return self.tf.linalg.eigvalsh(matrix) - return self.tf.linalg.eigvals(matrix) - - def calculate_eigenvectors(self, matrix, k: int = 6, hermitian: bool = True): - if hermitian: - return self.tf.linalg.eigh(matrix) - return self.tf.linalg.eig(matrix) - - def calculate_matrix_exp(self, a, matrix, eigenvectors=None, eigenvalues=None): - if eigenvectors is None or self.is_sparse(matrix): - return self.tf.linalg.expm(-1j * a * matrix) - return super().calculate_matrix_exp(a, matrix, eigenvectors, eigenvalues) - - def calculate_hamiltonian_matrix_product(self, matrix1, matrix2): - if self.is_sparse(matrix1) or self.is_sparse(matrix2): - raise_error( - NotImplementedError, - "Multiplication of sparse matrices is not supported with Tensorflow.", - ) - return super().calculate_hamiltonian_matrix_product(matrix1, matrix2) - - def calculate_hamiltonian_state_product(self, matrix, state): - rank = len(tuple(state.shape)) - if rank == 1: # vector - return self.np.matmul(matrix, state[:, self.np.newaxis])[:, 0] - elif rank == 2: # matrix - return self.np.matmul(matrix, state) - else: - raise_error( - ValueError, - f"Cannot multiply Hamiltonian with rank-{rank} tensor.", - ) - - def _test_regressions(self, name): - if name == "test_measurementresult_apply_bitflips": - return [ - [4, 0, 0, 1, 0, 0, 1, 0, 0, 0], - [0, 1, 1, 2, 1, 1, 4, 0, 0, 4], - [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], - [0, 0, 0, 0, 0, 4, 0, 0, 0, 4], - ] - elif name == "test_probabilistic_measurement": - if "GPU" in self.device: # pragma: no cover - return {0: 273, 1: 233, 2: 242, 3: 252} - else: - return {0: 271, 1: 239, 2: 242, 3: 248} - elif name == "test_unbalanced_probabilistic_measurement": - if "GPU" in self.device: # pragma: no cover - return {0: 196, 1: 153, 2: 156, 3: 495} - else: - return {0: 168, 1: 188, 2: 154, 3: 490} - elif name == "test_post_measurement_bitflips_on_circuit": - return [ - {5: 30}, - {5: 12, 7: 6, 4: 6, 1: 5, 6: 1}, - {3: 7, 6: 4, 2: 4, 7: 4, 0: 4, 5: 3, 4: 2, 1: 2}, - ] From 2a65005ea1a71e3a444bba6278ef820f69000187 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 8 Oct 2024 13:52:43 +0200 Subject: [PATCH 02/40] feat: construct tf backend from qiboml --- src/qibo/backends/__init__.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/src/qibo/backends/__init__.py b/src/qibo/backends/__init__.py index 77aaab3442..12ae556afe 100644 --- a/src/qibo/backends/__init__.py +++ b/src/qibo/backends/__init__.py @@ -11,7 +11,7 @@ from qibo.backends.tensorflow import TensorflowBackend from qibo.config import log, raise_error -QIBO_NATIVE_BACKENDS = ("numpy", "tensorflow", "pytorch", "qulacs") +QIBO_NATIVE_BACKENDS = ("numpy", "pytorch", "qulacs") class MissingBackend(ValueError): @@ -34,8 +34,6 @@ def load(backend: str, **kwargs) -> Backend: if backend == "numpy": return NumpyBackend() - elif backend == "tensorflow": - return TensorflowBackend() elif backend == "pytorch": return PyTorchBackend() elif backend == "clifford": @@ -73,9 +71,9 @@ class GlobalBackend(NumpyBackend): _default_order = [ {"backend": "qibojit", "platform": "cupy"}, {"backend": "qibojit", "platform": "numba"}, - {"backend": "tensorflow"}, {"backend": "numpy"}, {"backend": "pytorch"}, + {"backend": "qiboml", "platform": "tensorflow"}, ] def __new__(cls): From c6264e1cff05e3ab5a19d3d46077bc20fb1beb8e Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 8 Oct 2024 13:53:21 +0200 Subject: [PATCH 03/40] tests: adapt tests to tf parsed from qiboml --- tests/conftest.py | 2 +- tests/test_backends.py | 2 +- tests/test_backends_clifford.py | 9 ++------- tests/test_quantum_info_clifford.py | 3 ++- 4 files changed, 6 insertions(+), 10 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index 538ed7a1e5..9a1821b9b4 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -12,11 +12,11 @@ # backends to be tested BACKENDS = [ "numpy", - "tensorflow", "pytorch", "qibojit-numba", "qibojit-cupy", "qibojit-cuquantum", + "qiboml-tensorflow", ] # multigpu configurations to be tested (only with qibojit-cupy) ACCELERATORS = [ diff --git a/tests/test_backends.py b/tests/test_backends.py index 1be00e6d22..e2f09f8f1e 100644 --- a/tests/test_backends.py +++ b/tests/test_backends.py @@ -119,13 +119,13 @@ def test_list_available_backends(): ) available_backends = { "numpy": True, - "tensorflow": tensorflow, "pytorch": True, "qulacs": qulacs, "qibojit": {"numba": True, "cupy": False, "cuquantum": False}, "qibolab": False, "qibo-cloud-backends": False, "qibotn": {"cutensornet": False, "qutensornet": True}, + "qiboml": {"tensorflow": tensorflow}, } assert available_backends == list_available_backends( "qibojit", "qibolab", "qibo-cloud-backends", "qibotn" diff --git a/tests/test_backends_clifford.py b/tests/test_backends_clifford.py index 5e4bae9d64..ca54c2ae66 100644 --- a/tests/test_backends_clifford.py +++ b/tests/test_backends_clifford.py @@ -4,15 +4,10 @@ import numpy as np import pytest +from qiboml.backends import TensorflowBackend from qibo import Circuit, gates, set_backend -from qibo.backends import ( - CliffordBackend, - GlobalBackend, - NumpyBackend, - PyTorchBackend, - TensorflowBackend, -) +from qibo.backends import CliffordBackend, GlobalBackend, NumpyBackend, PyTorchBackend from qibo.backends.clifford import _get_engine_name from qibo.noise import DepolarizingError, NoiseModel, PauliError from qibo.quantum_info.random_ensembles import random_clifford diff --git a/tests/test_quantum_info_clifford.py b/tests/test_quantum_info_clifford.py index c9e8654df9..0c90039c1a 100644 --- a/tests/test_quantum_info_clifford.py +++ b/tests/test_quantum_info_clifford.py @@ -3,9 +3,10 @@ import numpy as np import pytest +from qiboml.backends import TensorflowBackend from qibo import Circuit, gates, matrices -from qibo.backends import CliffordBackend, PyTorchBackend, TensorflowBackend +from qibo.backends import CliffordBackend, PyTorchBackend from qibo.backends.clifford import _get_engine_name from qibo.quantum_info._clifford_utils import ( _cnot_cost, From 603ac3f333bb80102158ebe7d580bf81b700ec30 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 8 Oct 2024 14:25:41 +0200 Subject: [PATCH 04/40] chore: updating lock --- poetry.lock | 1976 ++++++++++++++++++++++++++---------------------- pyproject.toml | 1 + 2 files changed, 1053 insertions(+), 924 deletions(-) diff --git a/poetry.lock b/poetry.lock index 53bd97e80e..5fb38b52d9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -24,13 +24,13 @@ files = [ [[package]] name = "alembic" -version = "1.13.2" +version = "1.13.3" description = "A database migration tool for SQLAlchemy." optional = false python-versions = ">=3.8" files = [ - {file = "alembic-1.13.2-py3-none-any.whl", hash = "sha256:6b8733129a6224a9a711e17c99b08462dbf7cc9670ba8f2e2ae9af860ceb1953"}, - {file = "alembic-1.13.2.tar.gz", hash = "sha256:1ff0ae32975f4fd96028c39ed9bb3c867fe3af956bd7bb37343b54c9fe7445ef"}, + {file = "alembic-1.13.3-py3-none-any.whl", hash = "sha256:908e905976d15235fae59c9ac42c4c5b75cfcefe3d27c0fbf7ae15a37715d80e"}, + {file = "alembic-1.13.3.tar.gz", hash = "sha256:203503117415561e203aa14541740643a611f641517f0209fcae63e9fa09f1a2"}, ] [package.dependencies] @@ -54,13 +54,13 @@ files = [ [[package]] name = "anyio" -version = "4.4.0" +version = "4.6.0" 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From: MatteoRobbiati Date: Tue, 8 Oct 2024 14:30:09 +0200 Subject: [PATCH 05/40] fix: rm wrong import --- src/qibo/backends/__init__.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/qibo/backends/__init__.py b/src/qibo/backends/__init__.py index 12ae556afe..b7991f0927 100644 --- a/src/qibo/backends/__init__.py +++ b/src/qibo/backends/__init__.py @@ -8,7 +8,6 @@ from qibo.backends.npmatrices import NumpyMatrices from qibo.backends.numpy import NumpyBackend from qibo.backends.pytorch import PyTorchBackend -from qibo.backends.tensorflow import TensorflowBackend from qibo.config import log, raise_error QIBO_NATIVE_BACKENDS = ("numpy", "pytorch", "qulacs") From 3801382c18246858dd48254268b40dc5a03d08b5 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 8 Oct 2024 15:01:56 +0200 Subject: [PATCH 06/40] chore: rm tensorflow from deps --- poetry.lock | 2 +- pyproject.toml | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/poetry.lock b/poetry.lock index 5fb38b52d9..c0688f1e47 100644 --- a/poetry.lock +++ b/poetry.lock @@ -6050,4 +6050,4 @@ torch = ["torch"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "60a3caced0667878941bbfd10eeea107d44602839f041f19d2b4f6435fed86d0" +content-hash = "ed7f6c57986e844c8aa68a17881227d72a36a6acb21d93a246c5432cfa09556b" diff --git a/pyproject.toml b/pyproject.toml index ada7b6387a..ec80bcfdec 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,7 +70,6 @@ scikit-learn = "^1.2.1" pytest-cov = "^4.0.0" pylint = "3.1.0" matplotlib = "^3.7.0" -tensorflow = { version = "^2.16.1", markers = "sys_platform == 'linux'" } torch = "^2.1.1,<2.4" qibojit = { git = "https://github.com/qiboteam/qibojit.git" } qibotn = { git = "https://github.com/qiboteam/qibotn.git" } From 0ecd2b77ad6f098a679ccb1673b75ed9ae458a0d Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 8 Oct 2024 16:23:24 +0200 Subject: [PATCH 07/40] chore: restoring lock --- poetry.lock | 227 ++++++++++++++++++++++++++++------------------------ 1 file changed, 121 insertions(+), 106 deletions(-) diff --git a/poetry.lock b/poetry.lock index 24956418d8..c0688f1e47 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. 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13a4a5bd25..0000000000 --- a/src/qibo/backends/tensorflow.py +++ /dev/null @@ -1,243 +0,0 @@ -import collections -import os - -import numpy as np - -from qibo import __version__ -from qibo.backends.npmatrices import NumpyMatrices -from qibo.backends.numpy import NumpyBackend -from qibo.config import TF_LOG_LEVEL, log, raise_error - - -class TensorflowMatrices(NumpyMatrices): - # Redefine parametrized gate matrices for backpropagation to work - - def __init__(self, dtype): - super().__init__(dtype) - import tensorflow as tf # pylint: disable=import-error - import tensorflow.experimental.numpy as tnp # pylint: disable=import-error # type: ignore - - self.tf = tf - self.np = tnp - self.np.linalg = tf.linalg - - def _cast(self, x, dtype): - return self.tf.cast(x, dtype=dtype) - - def Unitary(self, u): - return self._cast(u, dtype=self.dtype) - - -class TensorflowBackend(NumpyBackend): - def __init__(self): - super().__init__() - self.name = "tensorflow" - os.environ["TF_CPP_MIN_LOG_LEVEL"] = str(TF_LOG_LEVEL) - - import tensorflow as tf # pylint: disable=import-error - import tensorflow.experimental.numpy as tnp # pylint: disable=import-error # type: ignore - - if TF_LOG_LEVEL >= 2: - tf.get_logger().setLevel("ERROR") - - tnp.experimental_enable_numpy_behavior() - self.tf = tf - self.np = tnp - self.np.flatnonzero = np.flatnonzero - self.np.copy = np.copy - - self.versions = { - "qibo": __version__, - "numpy": np.__version__, - "tensorflow": tf.__version__, - } - - self.matrices = TensorflowMatrices(self.dtype) - - from tensorflow.python.framework import ( # pylint: disable=E0611,import-error - errors_impl, - ) - - self.oom_error = errors_impl.ResourceExhaustedError - - cpu_devices = tf.config.list_logical_devices("CPU") - gpu_devices = tf.config.list_logical_devices("GPU") - if gpu_devices: # pragma: no cover - # CI does not use GPUs - self.device = gpu_devices[0].name - elif cpu_devices: - self.device = cpu_devices[0].name - - self.nthreads = 0 - - self.tensor_types = (np.ndarray, tf.Tensor, tf.Variable) - - def set_device(self, device): # pragma: no cover - self.device = device - - def set_threads(self, nthreads): - log.warning( - "`set_threads` is not supported by the tensorflow " - "backend. Please use tensorflow's thread setters: " - "`tf.config.threading.set_inter_op_parallelism_threads` " - "or `tf.config.threading.set_intra_op_parallelism_threads` " - "to switch the number of threads." - ) - - def cast(self, x, dtype=None, copy=False): - if dtype is None: - dtype = self.dtype - x = self.tf.cast(x, dtype=dtype) - if copy: - return self.tf.identity(x) - return x - - def is_sparse(self, x): - return isinstance(x, self.tf.sparse.SparseTensor) - - def to_numpy(self, x): - return np.array(x) - - def compile(self, func): - return self.tf.function(func) - - def zero_state(self, nqubits): - idx = self.tf.constant([[0]], dtype="int32") - state = self.tf.zeros((2**nqubits,), dtype=self.dtype) - update = self.tf.constant([1], dtype=self.dtype) - state = self.tf.tensor_scatter_nd_update(state, idx, update) - return state - - def zero_density_matrix(self, nqubits): - idx = self.tf.constant([[0, 0]], dtype="int32") - state = self.tf.zeros(2 * (2**nqubits,), dtype=self.dtype) - update = self.tf.constant([1], dtype=self.dtype) - state = self.tf.tensor_scatter_nd_update(state, idx, update) - return state - - def matrix(self, gate): - npmatrix = super().matrix(gate) - return self.tf.cast(npmatrix, dtype=self.dtype) - - def matrix_parametrized(self, gate): - npmatrix = super().matrix_parametrized(gate) - return self.tf.cast(npmatrix, dtype=self.dtype) - - def matrix_fused(self, gate): - npmatrix = super().matrix_fused(gate) - return self.tf.cast(npmatrix, dtype=self.dtype) - - def execute_circuit(self, circuit, initial_state=None, nshots=1000): - with self.tf.device(self.device): - return super().execute_circuit(circuit, initial_state, nshots) - - def execute_circuit_repeated(self, circuit, nshots, initial_state=None): - with self.tf.device(self.device): - return super().execute_circuit_repeated(circuit, nshots, initial_state) - - def sample_shots(self, probabilities, nshots): - # redefining this because ``tnp.random.choice`` is not available - logits = self.tf.math.log(probabilities)[self.tf.newaxis] - samples = self.tf.random.categorical(logits, nshots)[0] - return samples - - def samples_to_binary(self, samples, nqubits): - # redefining this because ``tnp.right_shift`` is not available - qrange = self.np.arange(nqubits - 1, -1, -1, dtype="int32") - samples = self.tf.cast(samples, dtype="int32") - samples = self.tf.bitwise.right_shift(samples[:, self.np.newaxis], qrange) - return self.tf.math.mod(samples, 2) - - def calculate_frequencies(self, samples): - # redefining this because ``tnp.unique`` is not available - res, _, counts = self.tf.unique_with_counts(samples, out_idx="int64") - res, counts = self.np.array(res), self.np.array(counts) - if res.dtype == "string": - res = [r.numpy().decode("utf8") for r in res] - else: - res = [int(r) for r in res] - return collections.Counter({k: int(v) for k, v in zip(res, counts)}) - - def update_frequencies(self, frequencies, probabilities, nsamples): - # redefining this because 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eigenvectors=None, eigenvalues=None): - if eigenvectors is None or self.is_sparse(matrix): - return self.tf.linalg.expm(-1j * a * matrix) - return super().calculate_matrix_exp(a, matrix, eigenvectors, eigenvalues) - - def calculate_singular_value_decomposition(self, matrix): - # needed to unify order of return - S, U, V = self.tf.linalg.svd(matrix) - return U, S, self.np.conj(self.np.transpose(V)) - - def calculate_hamiltonian_matrix_product(self, matrix1, matrix2): - if self.is_sparse(matrix1) or self.is_sparse(matrix2): - raise_error( - NotImplementedError, - "Multiplication of sparse matrices is not supported with Tensorflow.", - ) - return super().calculate_hamiltonian_matrix_product(matrix1, matrix2) - - def calculate_hamiltonian_state_product(self, matrix, state): - rank = len(tuple(state.shape)) - if rank == 1: # vector - return self.np.matmul(matrix, state[:, self.np.newaxis])[:, 0] - elif rank == 2: # matrix - return self.np.matmul(matrix, state) - else: - raise_error( - ValueError, - f"Cannot multiply Hamiltonian with rank-{rank} tensor.", - ) - - def _test_regressions(self, name): - if name == "test_measurementresult_apply_bitflips": - return [ - [4, 0, 0, 1, 0, 0, 1, 0, 0, 0], - [0, 1, 1, 2, 1, 1, 4, 0, 0, 4], - [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], - [0, 0, 0, 0, 0, 4, 0, 0, 0, 4], - ] - elif name == "test_probabilistic_measurement": - if "GPU" in self.device: # pragma: no cover - return {0: 273, 1: 233, 2: 242, 3: 252} - else: - return {0: 271, 1: 239, 2: 242, 3: 248} - elif name == "test_unbalanced_probabilistic_measurement": - if "GPU" in self.device: # pragma: no cover - return {0: 196, 1: 153, 2: 156, 3: 495} - else: - return {0: 168, 1: 188, 2: 154, 3: 490} - elif name == "test_post_measurement_bitflips_on_circuit": - return [ - {5: 30}, - {5: 12, 7: 6, 4: 6, 1: 5, 6: 1}, - {3: 7, 6: 4, 2: 4, 7: 4, 0: 4, 5: 3, 4: 2, 1: 2}, - ] From 8f176253d5d4c3f338964c571bd789dffdcc4718 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 8 Oct 2024 18:54:46 +0200 Subject: [PATCH 09/40] change backend priorities --- src/qibo/backends/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/qibo/backends/__init__.py b/src/qibo/backends/__init__.py index b7991f0927..316073243b 100644 --- a/src/qibo/backends/__init__.py +++ b/src/qibo/backends/__init__.py @@ -71,8 +71,8 @@ class GlobalBackend(NumpyBackend): {"backend": "qibojit", "platform": "cupy"}, {"backend": "qibojit", "platform": "numba"}, {"backend": "numpy"}, - {"backend": "pytorch"}, {"backend": "qiboml", "platform": "tensorflow"}, + {"backend": "pytorch"}, ] def __new__(cls): From 108c4ad207b4622108ee7a05d89c36a0359b7ebe Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Wed, 9 Oct 2024 09:51:35 +0200 Subject: [PATCH 10/40] chore: restore tf dependency in tests --- poetry.lock | 128 ++++++++++++++++++++++++------------------------- pyproject.toml | 1 + 2 files changed, 65 insertions(+), 64 deletions(-) diff --git a/poetry.lock b/poetry.lock index 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"0e906eef4117da995e3897c7b50c92c8bf6e6a1e" +resolved_reference = "7aa094286a717b6283fd37c808b9c387bda9bbac" [[package]] name = "qibotn" @@ -6050,4 +6050,4 @@ torch = ["torch"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "ed7f6c57986e844c8aa68a17881227d72a36a6acb21d93a246c5432cfa09556b" +content-hash = "60a3caced0667878941bbfd10eeea107d44602839f041f19d2b4f6435fed86d0" diff --git a/pyproject.toml b/pyproject.toml index b344a6ff5d..ba86225064 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,6 +70,7 @@ scikit-learn = "^1.2.1" pytest-cov = "^4.0.0" pylint = "3.1.0" matplotlib = "^3.7.0" +tensorflow = { version = "^2.16.1", markers = "sys_platform == 'linux'" } torch = "^2.1.1,<2.4" qibojit = { git = "https://github.com/qiboteam/qibojit.git" } qibotn = { git = "https://github.com/qiboteam/qibotn.git" } From e4cad138dbacdfdef35b2ee72d1025c66b0193c6 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Wed, 9 Oct 2024 12:20:55 +0200 Subject: [PATCH 11/40] fix: conditions involving tf --- tests/test_backends.py | 2 +- tests/test_hamiltonians.py | 18 ++++++++++-------- tests/test_models_circuit_backpropagation.py | 2 +- tests/test_models_error_mitigation.py | 10 +++++----- 4 files changed, 17 insertions(+), 15 deletions(-) diff --git a/tests/test_backends.py b/tests/test_backends.py index e2f09f8f1e..e3f5e2055e 100644 --- a/tests/test_backends.py +++ b/tests/test_backends.py @@ -128,7 +128,7 @@ def test_list_available_backends(): "qiboml": {"tensorflow": tensorflow}, } assert available_backends == list_available_backends( - "qibojit", "qibolab", "qibo-cloud-backends", "qibotn" + "qibojit", "qibolab", "qibo-cloud-backends", "qibotn", "qiboml" ) diff --git a/tests/test_hamiltonians.py b/tests/test_hamiltonians.py index 5dce386185..9f2f593617 100644 --- a/tests/test_hamiltonians.py +++ b/tests/test_hamiltonians.py @@ -68,7 +68,7 @@ def transformation_d(a, b, use_eye=False): H2 = hamiltonians.XXZ(nqubits=2, delta=1, backend=backend) mH1, mH2 = backend.to_numpy(H1.matrix), backend.to_numpy(H2.matrix) else: - if backend.name == "tensorflow": + if backend.platform == "tensorflow": pytest.skip("Tensorflow does not support operations with sparse matrices.") elif backend.name == "pytorch": pytest.skip("Pytorch does not support operations with sparse matrices.") @@ -100,7 +100,7 @@ def test_hamiltonian_addition(backend, sparse_type): H1 = hamiltonians.Y(nqubits=3, backend=backend) H2 = hamiltonians.TFIM(nqubits=3, h=1.0, backend=backend) else: - if backend.name == "tensorflow": + if backend.platform == "tensorflow": pytest.skip("Tensorflow does not support operations with sparse matrices.") elif backend.name == "pytorch": pytest.skip("Pytorch does not support operations with sparse matrices.") @@ -150,6 +150,8 @@ def test_hamiltonian_matmul(backend, sparse_type): """Test matrix multiplication between Hamiltonians.""" if backend.name == "pytorch": pytest.skip("Pytorch does not support operations with sparse matrices.") + if backend.platform == "tensorflow": + pytest.skip("Tensorflow does not support operations with sparse matrices.") if sparse_type is None: nqubits = 3 H1 = hamiltonians.TFIM(nqubits, h=1.0, backend=backend) @@ -170,7 +172,7 @@ def test_hamiltonian_matmul(backend, sparse_type): m1 = backend.to_numpy(H1.matrix) m2 = backend.to_numpy(H2.matrix) - if backend.name == "tensorflow" and sparse_type is not None: + if backend.platform == "tensorflow" and sparse_type is not None: with pytest.raises(NotImplementedError): _ = H1 @ H2 else: @@ -190,7 +192,7 @@ def test_hamiltonian_matmul_states(backend, sparse_type): nqubits = 3 H = hamiltonians.TFIM(nqubits, h=1.0, backend=backend) else: - if backend.name == "tensorflow": + if backend.platform == "tensorflow": pytest.skip("Tensorflow does not support operations with sparse matrices.") elif backend.name == "pytorch": pytest.skip("Pytorch does not support operations with sparse matrices.") @@ -227,7 +229,7 @@ def test_hamiltonian_expectation(backend, dense, density_matrix, sparse_type): if sparse_type is None: h = hamiltonians.XXZ(nqubits=3, delta=0.5, dense=dense, backend=backend) else: - if backend.name == "tensorflow": + if backend.platform == "tensorflow": pytest.skip("Tensorflow does not support operations with sparse matrices.") elif backend.name == "pytorch": pytest.skip("Pytorch does not support operations with sparse matrices.") @@ -315,7 +317,7 @@ def test_hamiltonian_eigenvalues(backend, dtype, sparse_type, dense): if sparse_type is None: H1 = hamiltonians.XXZ(nqubits=2, delta=0.5, dense=dense, backend=backend) else: - if backend.name == "tensorflow": + if backend.platform == "tensorflow": pytest.skip("Tensorflow does not support operations with sparse matrices.") elif backend.name == "pytorch": pytest.skip("Pytorch does not support operations with sparse matrices.") @@ -392,7 +394,7 @@ def test_hamiltonian_ground_state(backend, sparse_type, dense): if sparse_type is None: H = hamiltonians.XXZ(nqubits=2, delta=0.5, dense=dense, backend=backend) else: - if backend.name == "tensorflow": + if backend.platform == "tensorflow": pytest.skip("Tensorflow does not support operations with sparse matrices.") elif backend.name == "pytorch": pytest.skip("Pytorch does not support operations with sparse matrices.") @@ -424,7 +426,7 @@ def construct_hamiltonian(): if sparse_type is None: return hamiltonians.XXZ(nqubits=2, delta=0.5, dense=dense, backend=backend) else: - if backend.name == "tensorflow": + if backend.platform == "tensorflow": pytest.skip( "Tensorflow does not support operations with sparse matrices." ) diff --git a/tests/test_models_circuit_backpropagation.py b/tests/test_models_circuit_backpropagation.py index 49ac6a77c5..6ecd860118 100644 --- a/tests/test_models_circuit_backpropagation.py +++ b/tests/test_models_circuit_backpropagation.py @@ -10,7 +10,7 @@ def construct_tensorflow_backend(): try: from qibo.backends import construct_backend - backend = construct_backend("tensorflow") + backend = construct_backend(backend="qiboml", platform="tensorflow") except ModuleNotFoundError: # pragma: no cover pytest.skip( "Skipping backpropagation test because tensorflow is not available." diff --git a/tests/test_models_error_mitigation.py b/tests/test_models_error_mitigation.py index 8e003993cf..ab245b2a2c 100644 --- a/tests/test_models_error_mitigation.py +++ b/tests/test_models_error_mitigation.py @@ -98,7 +98,7 @@ def get_circuit(nqubits, nmeas=None): @pytest.mark.parametrize("GUF", [False, True]) def test_zne(backend, nqubits, noise, solve, GUF, insertion_gate, readout): """Test that ZNE reduces the noise.""" - if backend.name == "tensorflow": + if backend.platform == "tensorflow": import tensorflow as tf tf.config.threading.set_inter_op_parallelism_threads = 1 @@ -160,7 +160,7 @@ def test_zne(backend, nqubits, noise, solve, GUF, insertion_gate, readout): ) def test_cdr(backend, nqubits, noise, full_output, readout): """Test that CDR reduces the noise.""" - if backend.name == "tensorflow": + if backend.platform == "tensorflow": import tensorflow as tf tf.config.threading.set_inter_op_parallelism_threads = 1 @@ -244,7 +244,7 @@ def test_sample_training_circuit(nqubits): @pytest.mark.parametrize("full_output", [False, True]) def test_vncdr(backend, nqubits, noise, full_output, insertion_gate, readout): """Test that vnCDR reduces the noise.""" - if backend.name == "tensorflow": + if backend.platform == "tensorflow": import tensorflow as tf tf.config.threading.set_inter_op_parallelism_threads = 1 @@ -284,7 +284,7 @@ def test_vncdr(backend, nqubits, noise, full_output, insertion_gate, readout): @pytest.mark.parametrize("method", ["response_matrix", "randomized"]) @pytest.mark.parametrize("ibu_iters", [None, 10]) def test_readout_mitigation(backend, nqubits, nmeas, method, ibu_iters): - if backend.name == "tensorflow": + if backend.platform == "tensorflow": import tensorflow as tf tf.config.threading.set_inter_op_parallelism_threads = 1 @@ -341,7 +341,7 @@ def test_readout_mitigation(backend, nqubits, nmeas, method, ibu_iters): ], ) def test_ics(backend, nqubits, noise, full_output, readout): - if backend.name == "tensorflow": + if backend.platform == "tensorflow": import tensorflow as tf tf.config.threading.set_inter_op_parallelism_threads = 1 From 2d4a67cf4f0d1daa005987803bc4f37d404426ea Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Fri, 11 Oct 2024 10:25:52 +0200 Subject: [PATCH 12/40] fix: tf dependency --- poetry.lock | 402 +++++++++++++++++++++++++------------------------ pyproject.toml | 2 +- 2 files changed, 207 insertions(+), 197 deletions(-) diff --git a/poetry.lock b/poetry.lock index b457b9d4f9..c874681e76 100644 --- a/poetry.lock +++ b/poetry.lock @@ -320,101 +320,116 @@ pycparser = "*" [[package]] name = "charset-normalizer" -version = "3.3.2" +version = "3.4.0" description = "The Real First Universal Charset Detector. 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ace74a9c5e64a2d0b4973e4932b49ed87f11637b Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Mon, 14 Oct 2024 17:23:17 +0200 Subject: [PATCH 13/40] pointing to working branch --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 6229f99215..5bba74587b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -74,7 +74,7 @@ tensorflow = { version = "^2.16.1", markers = "sys_platform == 'linux' or sys_pl torch = "^2.1.1,<2.4" qibojit = { git = "https://github.com/qiboteam/qibojit.git" } qibotn = { git = "https://github.com/qiboteam/qibotn.git" } -qiboml = { git = "https://github.com/qiboteam/qiboml.git" } +qiboml = { git = "https://github.com/qiboteam/qiboml.git", branch = "tf-back"} stim = "^1.12.0" qulacs = { version = "^0.6.4", markers = "(sys_platform == 'darwin' and python_version > '3.9') or sys_platform != 'darwin'" } From fe84d9e836964f1ab14a5f7f345dd6974b0a816e Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Mon, 14 Oct 2024 19:10:22 +0200 Subject: [PATCH 14/40] chore: update lock --- poetry.lock | 186 ++++++++++++++++++++++++++-------------------------- 1 file changed, 93 insertions(+), 93 deletions(-) diff --git a/poetry.lock b/poetry.lock index c874681e76..15a32ff4d8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -54,13 +54,13 @@ files = [ [[package]] name = "anyio" -version = "4.6.0" +version = "4.6.2.post1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.9" files = [ - {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"}, - {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"}, + {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"}, + {file = "anyio-4.6.2.post1.tar.gz", hash = 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0a76c00d5d456bb157fc3157544a3ac1d3b9a25b Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 15 Oct 2024 09:36:37 +0200 Subject: [PATCH 15/40] fix: test models circuit parametrized --- tests/test_models_circuit_parametrized.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_models_circuit_parametrized.py b/tests/test_models_circuit_parametrized.py index 4e04ccd248..bd4bcd13a0 100644 --- a/tests/test_models_circuit_parametrized.py +++ b/tests/test_models_circuit_parametrized.py @@ -220,7 +220,7 @@ def test_variable_theta(): try: from qibo.backends import construct_backend - backend = construct_backend("tensorflow") + backend = construct_backend(backend="qiboml", platform="tensorflow") except ModuleNotFoundError: # pragma: no cover pytest.skip("Skipping variable test because tensorflow is not available.") From 4845926a03f74a1487e1fd467a229a644db0aace Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 15 Oct 2024 16:29:57 +0200 Subject: [PATCH 16/40] fix: replacing backend.name with backend.platform in three more qibo scripts --- src/qibo/optimizers.py | 2 +- src/qibo/quantum_info/basis.py | 4 ++-- src/qibo/quantum_info/random_ensembles.py | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/qibo/optimizers.py b/src/qibo/optimizers.py index 2696deda2b..dbd0331deb 100644 --- a/src/qibo/optimizers.py +++ b/src/qibo/optimizers.py @@ -271,7 +271,7 @@ def sgd( if options is not None: sgd_options.update(options) - if backend.name == "tensorflow": + if backend.platform == "tensorflow": return _sgd_tf( loss, initial_parameters, diff --git a/src/qibo/quantum_info/basis.py b/src/qibo/quantum_info/basis.py index dae0ac2535..fae47149e0 100644 --- a/src/qibo/quantum_info/basis.py +++ b/src/qibo/quantum_info/basis.py @@ -93,7 +93,7 @@ def pauli_basis( pauli_labels = {"I": matrices.I, "X": matrices.X, "Y": matrices.Y, "Z": matrices.Z} dim = 2**nqubits basis_single = backend.cast([pauli_labels[label] for label in pauli_order]) - einsum = np.einsum if backend.name == "tensorflow" else backend.np.einsum + einsum = np.einsum if backend.platform == "tensorflow" else backend.np.einsum if nqubits > 1: input_indices = [range(3 * i, 3 * (i + 1)) for i in range(nqubits)] @@ -105,7 +105,7 @@ def pauli_basis( basis_full = basis_single if vectorize and sparse: - if backend.name == "tensorflow": + if backend.platform == "tensorflow": nonzero = np.nonzero elif backend.name == "pytorch": nonzero = lambda x: backend.np.nonzero(x, as_tuple=True) diff --git a/src/qibo/quantum_info/random_ensembles.py b/src/qibo/quantum_info/random_ensembles.py index 59efb49b79..c05345dcce 100644 --- a/src/qibo/quantum_info/random_ensembles.py +++ b/src/qibo/quantum_info/random_ensembles.py @@ -922,7 +922,7 @@ def random_pauli_hamiltonian( hamiltonian = random_hermitian(d, normalize=True, seed=local_state, backend=backend) eigenvalues, eigenvectors = backend.calculate_eigenvectors(hamiltonian) - if backend.name == "tensorflow": + if backend.platform == "tensorflow": eigenvalues = backend.to_numpy(eigenvalues) eigenvectors = backend.to_numpy(eigenvectors) From 3380fa834417c0d82de1392dbd9a32ec887b19c0 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 15 Oct 2024 16:30:21 +0200 Subject: [PATCH 17/40] fix: name --> platform in utils.py --- tests/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/utils.py b/tests/utils.py index 5d77b812dd..e55a324b38 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -3,7 +3,7 @@ def random_sparse_matrix(backend, n, sparse_type=None): - if backend.name == "tensorflow": + if backend.platform == "tensorflow": nonzero = int(0.1 * n * n) indices = np.random.randint(0, n, size=(nonzero, 2)) data = np.random.random(nonzero) + 1j * np.random.random(nonzero) From e828343df8c76bdbeba75ea0e4c06b726d56dff9 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Tue, 15 Oct 2024 16:30:43 +0200 Subject: [PATCH 18/40] fix: adapt tf tests to qiboml backend --- tests/test_backends_torch_gradients.py | 3 +-- tests/test_measurements_collapse.py | 2 +- tests/test_models_evolution.py | 2 +- tests/test_models_variational.py | 10 +++++++--- 4 files changed, 10 insertions(+), 7 deletions(-) diff --git a/tests/test_backends_torch_gradients.py b/tests/test_backends_torch_gradients.py index 08bacb44af..88d70fca59 100644 --- a/tests/test_backends_torch_gradients.py +++ b/tests/test_backends_torch_gradients.py @@ -48,8 +48,7 @@ def test_torch_tensorflow_gradients(): backend = PyTorchBackend() import tensorflow as tf # pylint: disable=import-outside-toplevel - - from qibo.backends.tensorflow import ( # pylint: disable=import-outside-toplevel + from qiboml.backends.tensorflow import ( # pylint: disable=import-outside-toplevel TensorflowBackend, ) diff --git a/tests/test_measurements_collapse.py b/tests/test_measurements_collapse.py index 34cc48d9c7..2944a67783 100644 --- a/tests/test_measurements_collapse.py +++ b/tests/test_measurements_collapse.py @@ -30,7 +30,7 @@ def test_measurement_collapse(backend, nqubits, targets): ) def test_measurement_collapse_density_matrix(backend, nqubits, targets): def assign_value(rho, index, value): - if backend.name == "tensorflow": + if backend.platform == "tensorflow": rho_numpy = rho.numpy() rho_numpy[index] = value return rho.__class__(rho_numpy, rho.device) diff --git a/tests/test_models_evolution.py b/tests/test_models_evolution.py index 9837ed7f3c..4c16544a3a 100644 --- a/tests/test_models_evolution.py +++ b/tests/test_models_evolution.py @@ -326,7 +326,7 @@ def test_scheduling_optimization(backend, method, options, messages, dense, file adevp = models.AdiabaticEvolution(h0, h1, sp, dt=1e-1) if method == "sgd": - if backend.name != "tensorflow": + if backend.platform != "tensorflow": with pytest.raises(RuntimeError): best, params, _ = adevp.minimize( [0.5, 1], method=method, options=options, messages=messages diff --git a/tests/test_models_variational.py b/tests/test_models_variational.py index 5ec737610f..8704aaa31f 100644 --- a/tests/test_models_variational.py +++ b/tests/test_models_variational.py @@ -101,10 +101,14 @@ def myloss(parameters, circuit, target): @pytest.mark.parametrize(test_names, test_values) def test_vqe(backend, method, options, compile, filename): """Performs a VQE circuit minimization test.""" - if (method == "sgd" or compile) and (backend.name not in ("tensorflow", "pytorch")): + if (method == "sgd" or compile) and ( + (backend.name != "pytorch") or (backend.platform != "tensorflow") + ): pytest.skip("Skipping SGD test for unsupported backend.") - if method != "sgd" and backend.name in ("tensorflow", "pytorch"): - pytest.skip("Skipping scipy optimizers for tensorflow and pytorch.") + if method != "sgd" and backend.name == "pytorch": + pytest.skip("Skipping scipy optimizers for pytorch.") + if method != "sgd" and backend.platform == "tensorflow": + pytest.skip("Skipping scipy optimizers for tensorflow.") n_threads = backend.nthreads backend.set_threads(1) nqubits = 3 From 80494992cd28265707655e221025ff52b246340b Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Wed, 16 Oct 2024 13:39:50 +0400 Subject: [PATCH 19/40] use aliases --- src/qibo/quantum_info/basis.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/src/qibo/quantum_info/basis.py b/src/qibo/quantum_info/basis.py index fae47149e0..3e8ae13c9c 100644 --- a/src/qibo/quantum_info/basis.py +++ b/src/qibo/quantum_info/basis.py @@ -93,21 +93,20 @@ def pauli_basis( pauli_labels = {"I": matrices.I, "X": matrices.X, "Y": matrices.Y, "Z": matrices.Z} dim = 2**nqubits basis_single = backend.cast([pauli_labels[label] for label in pauli_order]) - einsum = np.einsum if backend.platform == "tensorflow" else backend.np.einsum if nqubits > 1: input_indices = [range(3 * i, 3 * (i + 1)) for i in range(nqubits)] output_indices = (i for indices in zip(*input_indices) for i in indices) operands = [basis_single for _ in range(nqubits)] inputs = [item for pair in zip(operands, input_indices) for item in pair] - basis_full = einsum(*inputs, output_indices).reshape(4**nqubits, dim, dim) + basis_full = backend.np.einsum(*inputs, output_indices).reshape( + 4**nqubits, dim, dim + ) else: basis_full = basis_single if vectorize and sparse: - if backend.platform == "tensorflow": - nonzero = np.nonzero - elif backend.name == "pytorch": + if backend.name == "pytorch": nonzero = lambda x: backend.np.nonzero(x, as_tuple=True) else: nonzero = backend.np.nonzero From f768db72203f9437129826812d7aeaf20da89fe6 Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Wed, 16 Oct 2024 13:49:43 +0400 Subject: [PATCH 20/40] pylint --- tests/utils.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/tests/utils.py b/tests/utils.py index e55a324b38..88b1f8460a 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -8,8 +8,9 @@ def random_sparse_matrix(backend, n, sparse_type=None): indices = np.random.randint(0, n, size=(nonzero, 2)) data = np.random.random(nonzero) + 1j * np.random.random(nonzero) data = backend.cast(data) + return backend.tf.sparse.SparseTensor(indices, data, (n, n)) - else: - re = sparse.rand(n, n, format=sparse_type) - im = sparse.rand(n, n, format=sparse_type) - return re + 1j * im + + re = sparse.rand(n, n, format=sparse_type) + im = sparse.rand(n, n, format=sparse_type) + return re + 1j * im From 32c922436601d6bf0af9bd59396e434d94cd736d Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Wed, 16 Oct 2024 14:01:16 +0400 Subject: [PATCH 21/40] lint improvements --- src/qibo/backends/__init__.py | 34 +++++++++++++++++++++------------- 1 file changed, 21 insertions(+), 13 deletions(-) diff --git a/src/qibo/backends/__init__.py b/src/qibo/backends/__init__.py index 1cc48193ca..74f74e1187 100644 --- a/src/qibo/backends/__init__.py +++ b/src/qibo/backends/__init__.py @@ -26,28 +26,36 @@ def load(backend: str, **kwargs) -> Backend: Args: backend (str): Name of the backend to load. - kwargs (dict): Additional arguments for the qibo backend. + kwargs (dict): Additional arguments for the ``qibo`` backend. + Returns: - qibo.backends.abstract.Backend: The loaded backend. + :class:`qibo.backends.abstract.Backend`: Loaded backend. """ - if backend == "numpy": - return NumpyBackend() - elif backend == "pytorch": + possible_backends = ["numpy", "pytorch", "clifford", "qulacs"] + + if backend not in possible_backends: + raise_error( + ValueError, + f"Backend {backend} is not available. " + + f"The native qibo backends are {QIBO_NATIVE_BACKENDS}.", + ) + + if backend == "pytorch": return PyTorchBackend() - elif backend == "clifford": + + if backend == "clifford": engine = kwargs.pop("platform", None) kwargs["engine"] = engine + return CliffordBackend(**kwargs) - elif backend == "qulacs": - from qibo.backends.qulacs import QulacsBackend + + if backend == "qulacs": + from qibo.backends.qulacs import QulacsBackend # pylint: disable=C0415 return QulacsBackend() - else: - raise_error( - ValueError, - f"Backend {backend} is not available. The native qibo backends are {QIBO_NATIVE_BACKENDS}.", - ) + + return NumpyBackend() def list_available(self) -> dict: """Lists all the available native qibo backends.""" From 2fdbf852c3ce9f1d734e9b81bc6bd93284bd73fb Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Wed, 16 Oct 2024 14:04:00 +0400 Subject: [PATCH 22/40] lint improvements --- src/qibo/backends/__init__.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/src/qibo/backends/__init__.py b/src/qibo/backends/__init__.py index 74f74e1187..3e6baed39b 100644 --- a/src/qibo/backends/__init__.py +++ b/src/qibo/backends/__init__.py @@ -216,7 +216,7 @@ def list_available_backends(*providers: str) -> dict: return available_backends -def construct_backend(backend, **kwargs) -> Backend: +def construct_backend(backend, **kwargs) -> Backend: # pylint: disable=R1710 """Construct a generic native or non-native qibo backend. Args: @@ -235,11 +235,12 @@ def construct_backend(backend, **kwargs) -> Backend: except ImportError as e: # pylint: disable=unsupported-membership-test if provider not in e.msg: - raise e - raise MissingBackend( + raise_error(e) + raise_error( + MissingBackend, f"The '{backend}' backends' provider is not available. Check that a Python " - f"package named '{provider}' is installed, and it is exposing valid Qibo " - "backends.", + + f"package named '{provider}' is installed, and it is exposing valid Qibo " + + "backends.", ) From 85df75d5bb4ddaec28a9343ae375391a2655790f Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Wed, 16 Oct 2024 14:10:39 +0400 Subject: [PATCH 23/40] rollback modification --- src/qibo/backends/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/qibo/backends/__init__.py b/src/qibo/backends/__init__.py index 3e6baed39b..0edf4ad0b4 100644 --- a/src/qibo/backends/__init__.py +++ b/src/qibo/backends/__init__.py @@ -235,7 +235,7 @@ def construct_backend(backend, **kwargs) -> Backend: # pylint: disable=R1710 except ImportError as e: # pylint: disable=unsupported-membership-test if provider not in e.msg: - raise_error(e) + raise e raise_error( MissingBackend, f"The '{backend}' backends' provider is not available. Check that a Python " From 205e260103c828d214a7e9bfd3b0fde799d68e22 Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Wed, 16 Oct 2024 15:55:42 +0400 Subject: [PATCH 24/40] update lock --- poetry.lock | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/poetry.lock b/poetry.lock index 15a32ff4d8..cc11f8cdb0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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[package.dependencies] @@ -5323,7 +5326,7 @@ aioodbc = ["aioodbc", "greenlet (!=0.4.17)"] aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"] asyncio = ["greenlet (!=0.4.17)"] asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"] -mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"] +mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"] mssql = ["pyodbc"] mssql-pymssql = ["pymssql"] mssql-pyodbc = ["pyodbc"] From d4a82d5bb60a80cefb49d5f059652256ce016843 Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Thu, 17 Oct 2024 09:11:30 +0400 Subject: [PATCH 26/40] fix GPU tests --- src/qibo/models/error_mitigation.py | 11 ++++++++++- tests/test_models_error_mitigation.py | 2 +- 2 files changed, 11 insertions(+), 2 deletions(-) diff --git a/src/qibo/models/error_mitigation.py b/src/qibo/models/error_mitigation.py index 60a7da94af..4f3983447c 100644 --- a/src/qibo/models/error_mitigation.py +++ b/src/qibo/models/error_mitigation.py @@ -345,7 +345,16 @@ def closure(): optimizer.step(closure) return params - return curve_fit(model, xdata, ydata, p0=params)[0] + + if backend.platform in ["cupy", "cuquantum"]: + # Currrently, ``cupy`` does not have compatibility with ``scipy.optimize``. + xdata = backend.to_numpy(xdata) + ydata = backend.to_numpy(ydata) + params = backend.to_numpy(params) + + optimal_params = curve_fit(model, xdata, ydata, p0=params)[0] + + return backend.cast(optimal_params, dtype=optimal_params.dtype) def CDR( diff --git a/tests/test_models_error_mitigation.py b/tests/test_models_error_mitigation.py index ab245b2a2c..63ed222c4b 100644 --- a/tests/test_models_error_mitigation.py +++ b/tests/test_models_error_mitigation.py @@ -245,7 +245,7 @@ def test_sample_training_circuit(nqubits): def test_vncdr(backend, nqubits, noise, full_output, insertion_gate, readout): """Test that vnCDR reduces the noise.""" if backend.platform == "tensorflow": - import tensorflow as tf + import tensorflow as tf # pylint: disable=C0415 tf.config.threading.set_inter_op_parallelism_threads = 1 tf.config.threading.set_intra_op_parallelism_threads = 1 From 8c6e16285ebaf2cbdbbb371afa2ea10554ec4416 Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Thu, 17 Oct 2024 09:44:04 +0400 Subject: [PATCH 27/40] update lock (again) --- poetry.lock | 439 ++++++++++++++++++++++++++-------------------------- 1 file changed, 221 insertions(+), 218 deletions(-) diff --git a/poetry.lock b/poetry.lock index cc11f8cdb0..eba52186ff 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1732,85 +1732,85 @@ test = ["objgraph", "psutil"] [[package]] name = "grpcio" -version = "1.66.2" +version = "1.67.0" description = "HTTP/2-based RPC framework" optional = false python-versions = ">=3.8" files = [ - {file = "grpcio-1.66.2-cp310-cp310-linux_armv7l.whl", hash = "sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa"}, - {file = "grpcio-1.66.2-cp310-cp310-macosx_12_0_universal2.whl", 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b/src/qibo/quantum_info/basis.py @@ -93,15 +93,14 @@ def pauli_basis( pauli_labels = {"I": matrices.I, "X": matrices.X, "Y": matrices.Y, "Z": matrices.Z} dim = 2**nqubits basis_single = backend.cast([pauli_labels[label] for label in pauli_order]) + einsum = np.einsum if backend.platform == "tensorflow" else backend.np.einsum if nqubits > 1: input_indices = [range(3 * i, 3 * (i + 1)) for i in range(nqubits)] output_indices = (i for indices in zip(*input_indices) for i in indices) operands = [basis_single for _ in range(nqubits)] inputs = [item for pair in zip(operands, input_indices) for item in pair] - basis_full = backend.np.einsum(*inputs, output_indices).reshape( - 4**nqubits, dim, dim - ) + basis_full = einsum(*inputs, output_indices).reshape(4**nqubits, dim, dim) else: basis_full = basis_single @@ -111,7 +110,7 @@ def pauli_basis( else: nonzero = backend.np.nonzero basis = vectorization(basis_full, order=order, backend=backend) - indices = nonzero(basis) + indices = nonzero(backend.np.abs(basis)) # abs needed because of ``tensorflow`` basis = basis[indices].reshape(-1, dim) indices = indices[1].reshape(-1, dim) diff --git a/tests/test_quantum_info_basis.py b/tests/test_quantum_info_basis.py index 6d35863504..38ff03b1d5 100644 --- a/tests/test_quantum_info_basis.py +++ b/tests/test_quantum_info_basis.py @@ -82,21 +82,11 @@ def test_pauli_basis( for elem_test, ind_test, elem, ind in zip( elements, indexes, basis[0], basis[1] ): - backend.assert_allclose( - np.linalg.norm(backend.to_numpy(elem_test - elem)) < PRECISION_TOL, - True, - ) - backend.assert_allclose( - np.linalg.norm(backend.to_numpy(ind_test - ind)) < PRECISION_TOL, - True, - ) + backend.assert_allclose(elem_test, elem, atol=PRECISION_TOL) + backend.assert_allclose(ind_test, ind, atol=PRECISION_TOL) else: for pauli, pauli_test in zip(basis, basis_test): - backend.assert_allclose( - np.linalg.norm(backend.to_numpy(pauli - pauli_test)) - < PRECISION_TOL, - True, - ) + backend.assert_allclose(pauli, pauli_test, atol=PRECISION_TOL) comp_basis_to_pauli(nqubits, normalize, sparse, order, pauli_order, backend) pauli_to_comp_basis(nqubits, normalize, sparse, order, pauli_order, backend) From 7a1c17f77382ebbfe6bab4eadd351ef850ddda1b Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Thu, 17 Oct 2024 12:30:53 +0400 Subject: [PATCH 29/40] update lock --- poetry.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index eba52186ff..98abd833ed 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4569,7 +4569,7 @@ torch = "^2.2.0" type = "git" url = "https://github.com/qiboteam/qiboml.git" reference = "tf-back" -resolved_reference = "7646863a8353744617e936052221aa382eb497c9" +resolved_reference = "855d3cf4d4ded1c47cf6e7aaa7ccf4454df93cad" [[package]] name = "qibotn" From d27446c0492f8429de20827b5acbedb64047fff6 Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Thu, 17 Oct 2024 13:10:04 +0400 Subject: [PATCH 30/40] revert test order --- tests/test_quantum_info_metrics.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tests/test_quantum_info_metrics.py b/tests/test_quantum_info_metrics.py index 6a4f14e143..4e5b9ea849 100644 --- a/tests/test_quantum_info_metrics.py +++ b/tests/test_quantum_info_metrics.py @@ -394,13 +394,7 @@ def test_frame_potential(backend, nqubits, power_t, samples): @pytest.mark.parametrize("return_complex", [False, True]) @pytest.mark.parametrize("nqubits", [4, 8]) def test_qfim(backend, nqubits, return_complex, params_flag): - if backend.name not in ["pytorch", "tensorflow"]: - circuit = Circuit(nqubits) - params = np.random.rand(3) - params = backend.cast(params, dtype=params.dtype) - with pytest.raises(NotImplementedError): - test = quantum_fisher_information_matrix(circuit, params, backend=backend) - else: + if backend.name == "pytorch" or backend.platform == "tensorflow": # QFIM from https://arxiv.org/abs/2405.20408 is known analytically data = np.random.rand(nqubits) data = backend.cast(data, dtype=data.dtype) @@ -427,3 +421,9 @@ def test_qfim(backend, nqubits, return_complex, params_flag): ) backend.assert_allclose(qfim, target, atol=1e-6) + else: + circuit = Circuit(nqubits) + params = np.random.rand(3) + params = backend.cast(params, dtype=params.dtype) + with pytest.raises(NotImplementedError): + test = quantum_fisher_information_matrix(circuit, params, backend=backend) From 596fd3580a564971db39c5a70055237529bc5fcd Mon Sep 17 00:00:00 2001 From: Renato Mello Date: Thu, 17 Oct 2024 12:00:27 +0000 Subject: [PATCH 31/40] Update src/qibo/models/error_mitigation.py --- src/qibo/models/error_mitigation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/qibo/models/error_mitigation.py b/src/qibo/models/error_mitigation.py index 4f3983447c..1811c90087 100644 --- a/src/qibo/models/error_mitigation.py +++ b/src/qibo/models/error_mitigation.py @@ -346,7 +346,7 @@ def closure(): optimizer.step(closure) return params - if backend.platform in ["cupy", "cuquantum"]: + if backend.platform in ["cupy", "cuquantum"]: # pragma: no cover # Currrently, ``cupy`` does not have compatibility with ``scipy.optimize``. xdata = backend.to_numpy(xdata) ydata = backend.to_numpy(ydata) From 5f368681fca2cd3f6b23db388ee9a52678fdf3f1 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Mon, 21 Oct 2024 09:05:49 +0200 Subject: [PATCH 32/40] Using QIBO_NATIVE_BACKENDS as Andrea suggested --- src/qibo/backends/__init__.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/src/qibo/backends/__init__.py b/src/qibo/backends/__init__.py index 0edf4ad0b4..b40c87bddf 100644 --- a/src/qibo/backends/__init__.py +++ b/src/qibo/backends/__init__.py @@ -32,13 +32,11 @@ def load(backend: str, **kwargs) -> Backend: :class:`qibo.backends.abstract.Backend`: Loaded backend. """ - possible_backends = ["numpy", "pytorch", "clifford", "qulacs"] - - if backend not in possible_backends: + if backend not in QIBO_NATIVE_BACKENDS + ["clifford"]: raise_error( ValueError, f"Backend {backend} is not available. " - + f"The native qibo backends are {QIBO_NATIVE_BACKENDS}.", + + f"The native qibo backends are {QIBO_NATIVE_BACKENDS + ['clifford']}", ) if backend == "pytorch": From 124816f457a3b88c93b09cf577034a902653e587 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Mon, 21 Oct 2024 09:23:19 +0200 Subject: [PATCH 33/40] chore: update lock --- poetry.lock | 349 +++++++++++++++++++++++++--------------------------- 1 file changed, 167 insertions(+), 182 deletions(-) diff --git a/poetry.lock b/poetry.lock index 98abd833ed..fc38f63d80 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. 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""" - if backend not in QIBO_NATIVE_BACKENDS + ["clifford"]: + if backend not in QIBO_NATIVE_BACKENDS + ("clifford",): raise_error( ValueError, f"Backend {backend} is not available. " - + f"The native qibo backends are {QIBO_NATIVE_BACKENDS + ['clifford']}", + + f"The native qibo backends are {QIBO_NATIVE_BACKENDS + ('clifford',)}", ) if backend == "pytorch": From a8fda30c36511965cdee0630802e6c39d0619f09 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Wed, 23 Oct 2024 11:38:50 +0200 Subject: [PATCH 35/40] feat: removing direct dependence from tensorflow in tests --- tests/test_backends_torch_gradients.py | 19 +++++-------- tests/test_models_circuit_backpropagation.py | 16 +++++------ tests/test_models_circuit_parametrized.py | 6 ++-- tests/test_models_error_mitigation.py | 30 +++++++------------- 4 files changed, 26 insertions(+), 45 deletions(-) diff --git a/tests/test_backends_torch_gradients.py b/tests/test_backends_torch_gradients.py index 88d70fca59..2549e6bd45 100644 --- a/tests/test_backends_torch_gradients.py +++ b/tests/test_backends_torch_gradients.py @@ -4,7 +4,7 @@ import pytest from qibo import gates, models -from qibo.backends import PyTorchBackend +from qibo.backends import PyTorchBackend, construct_backend from qibo.quantum_info import infidelity @@ -45,12 +45,9 @@ def test_torch_gradients(): sys.platform != "linux", reason="Tensorflow available only when testing on linux." ) def test_torch_tensorflow_gradients(): - backend = PyTorchBackend() - import tensorflow as tf # pylint: disable=import-outside-toplevel - from qiboml.backends.tensorflow import ( # pylint: disable=import-outside-toplevel - TensorflowBackend, - ) + backend = PyTorchBackend() + tf_backend = construct_backend(backend="qiboml", platform="tensorflow") target_state = backend.np.tensor([0.0, 1.0], dtype=backend.np.complex128) param = backend.np.tensor([0.1], dtype=backend.np.float64, requires_grad=True) @@ -67,16 +64,14 @@ def test_torch_tensorflow_gradients(): optimizer.step() torch_param = param.clone().item() - tf_backend = TensorflowBackend() - - target_state = tf.constant([0.0, 1.0], dtype=tf.complex128) - param = tf.Variable([0.1], dtype=tf.float64) + target_state = tf_backend.tf.constant([0.0, 1.0], dtype=tf_backend.tf.complex128) + param = tf_backend.tf.Variable([0.1], dtype=tf_backend.tf.float64) c = models.Circuit(1) c.add(gates.RX(0, param[0])) - optimizer = tf.optimizers.SGD(learning_rate=1.0) + optimizer = tf_backend.tf.optimizers.SGD(learning_rate=1.0) - with tf.GradientTape() as tape: + with tf_backend.tf.GradientTape() as tape: c.set_parameters(param) final_state = tf_backend.execute_circuit(c).state() loss = infidelity(target_state, final_state, backend=tf_backend) diff --git a/tests/test_models_circuit_backpropagation.py b/tests/test_models_circuit_backpropagation.py index 6ecd860118..b2a6cb8078 100644 --- a/tests/test_models_circuit_backpropagation.py +++ b/tests/test_models_circuit_backpropagation.py @@ -20,19 +20,18 @@ def construct_tensorflow_backend(): def test_variable_backpropagation(): backend = construct_tensorflow_backend() - import tensorflow as tf - theta = tf.Variable(0.1234, dtype=tf.float64) + theta = backend.tf.Variable(0.1234, dtype=backend.tf.float64) # TODO: Fix parametrized gates so that `Circuit` can be defined outside # of the gradient tape - with tf.GradientTape() as tape: + with backend.tf.GradientTape() as tape: c = Circuit(1) c.add(gates.X(0)) c.add(gates.RZ(0, theta)) result = backend.execute_circuit(c) - loss = tf.math.real(result.state()[-1]) + loss = backend.tf.math.real(result.state()[-1]) grad = tape.gradient(loss, theta) - grad = tf.math.real(grad) + grad = backend.tf.math.real(grad) target_loss = np.cos(theta / 2.0) backend.assert_allclose(loss, target_loss) @@ -43,17 +42,16 @@ def test_variable_backpropagation(): def test_two_variables_backpropagation(): backend = construct_tensorflow_backend() - import tensorflow as tf - theta = tf.Variable([0.1234, 0.4321], dtype=tf.float64) + theta = backend.tf.Variable([0.1234, 0.4321], dtype=backend.tf.float64) # TODO: Fix parametrized gates so that `Circuit` can be defined outside # of the gradient tape - with tf.GradientTape() as tape: + with backend.tf.GradientTape() as tape: c = Circuit(2) c.add(gates.RX(0, theta[0])) c.add(gates.RY(1, theta[1])) result = backend.execute_circuit(c) - loss = tf.math.real(result.state()[0]) + loss = backend.tf.math.real(result.state()[0]) grad = tape.gradient(loss, theta) t = np.array([0.1234, 0.4321]) / 2.0 diff --git a/tests/test_models_circuit_parametrized.py b/tests/test_models_circuit_parametrized.py index bd4bcd13a0..50aeb850e8 100644 --- a/tests/test_models_circuit_parametrized.py +++ b/tests/test_models_circuit_parametrized.py @@ -224,10 +224,8 @@ def test_variable_theta(): except ModuleNotFoundError: # pragma: no cover pytest.skip("Skipping variable test because tensorflow is not available.") - import tensorflow as tf # pylint: disable=import-error - - theta1 = tf.Variable(0.1234, dtype=tf.float64) - theta2 = tf.Variable(0.4321, dtype=tf.float64) + theta1 = backend.tf.Variable(0.1234, dtype=backend.tf.float64) + theta2 = backend.tf.Variable(0.4321, dtype=backend.tf.float64) cvar = Circuit(2) cvar.add(gates.RX(0, theta1)) cvar.add(gates.RY(1, theta2)) diff --git a/tests/test_models_error_mitigation.py b/tests/test_models_error_mitigation.py index 63ed222c4b..62bd804f5e 100644 --- a/tests/test_models_error_mitigation.py +++ b/tests/test_models_error_mitigation.py @@ -99,10 +99,8 @@ def get_circuit(nqubits, nmeas=None): def test_zne(backend, nqubits, noise, solve, GUF, insertion_gate, readout): """Test that ZNE reduces the noise.""" if backend.platform == "tensorflow": - import tensorflow as tf - - tf.config.threading.set_inter_op_parallelism_threads = 1 - tf.config.threading.set_intra_op_parallelism_threads = 1 + backend.tf.config.threading.set_inter_op_parallelism_threads = 1 + backend.tf.config.threading.set_intra_op_parallelism_threads = 1 else: backend.set_threads(1) @@ -161,10 +159,8 @@ def test_zne(backend, nqubits, noise, solve, GUF, insertion_gate, readout): def test_cdr(backend, nqubits, noise, full_output, readout): """Test that CDR reduces the noise.""" if backend.platform == "tensorflow": - import tensorflow as tf - - tf.config.threading.set_inter_op_parallelism_threads = 1 - tf.config.threading.set_intra_op_parallelism_threads = 1 + backend.tf.config.threading.set_inter_op_parallelism_threads = 1 + backend.tf.config.threading.set_intra_op_parallelism_threads = 1 else: backend.set_threads(1) @@ -245,10 +241,8 @@ def test_sample_training_circuit(nqubits): def test_vncdr(backend, nqubits, noise, full_output, insertion_gate, readout): """Test that vnCDR reduces the noise.""" if backend.platform == "tensorflow": - import tensorflow as tf # pylint: disable=C0415 - - tf.config.threading.set_inter_op_parallelism_threads = 1 - tf.config.threading.set_intra_op_parallelism_threads = 1 + backend.tf.config.threading.set_inter_op_parallelism_threads = 1 + backend.tf.config.threading.set_intra_op_parallelism_threads = 1 else: backend.set_threads(1) # Define the circuit @@ -285,10 +279,8 @@ def test_vncdr(backend, nqubits, noise, full_output, insertion_gate, readout): @pytest.mark.parametrize("ibu_iters", [None, 10]) def test_readout_mitigation(backend, nqubits, nmeas, method, ibu_iters): if backend.platform == "tensorflow": - import tensorflow as tf - - tf.config.threading.set_inter_op_parallelism_threads = 1 - tf.config.threading.set_intra_op_parallelism_threads = 1 + backend.tf.config.threading.set_inter_op_parallelism_threads = 1 + backend.tf.config.threading.set_intra_op_parallelism_threads = 1 else: backend.set_threads(1) nshots = 10000 @@ -342,10 +334,8 @@ def test_readout_mitigation(backend, nqubits, nmeas, method, ibu_iters): ) def test_ics(backend, nqubits, noise, full_output, readout): if backend.platform == "tensorflow": - import tensorflow as tf - - tf.config.threading.set_inter_op_parallelism_threads = 1 - tf.config.threading.set_intra_op_parallelism_threads = 1 + backend.tf.config.threading.set_inter_op_parallelism_threads = 1 + backend.tf.config.threading.set_intra_op_parallelism_threads = 1 else: backend.set_threads(1) """Test that ICS reduces the noise.""" From 521cbe2391f070d61adbe61b91a752b32c2156cc Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Fri, 25 Oct 2024 16:10:03 +0200 Subject: [PATCH 36/40] feat: removing tf imports from examples and docs --- doc/source/code-examples/advancedexamples.rst | 35 +++++++++---------- examples/anomaly_detection/test.py | 4 +-- examples/anomaly_detection/train.py | 4 +-- examples/benchmarks/main.py | 5 ++- examples/qclustering/minimization.py | 4 ++- examples/reuploading_classifier/qlassifier.py | 4 ++- 6 files changed, 30 insertions(+), 26 deletions(-) diff --git a/doc/source/code-examples/advancedexamples.rst b/doc/source/code-examples/advancedexamples.rst index 8a3736b99c..2caaf2eff0 100644 --- a/doc/source/code-examples/advancedexamples.rst +++ b/doc/source/code-examples/advancedexamples.rst @@ -78,19 +78,8 @@ or programmatically, during runtime, as follows: # retrieve the current number of threads current_threads = qibo.get_threads() -On the other hand, when using the ``tensorflow`` backend Qibo inherits -Tensorflow's defaults for CPU thread configuration. -Tensorflow allows restricting the number of threads as follows: - -.. code-block:: python - - import tensorflow as tf - tf.config.threading.set_inter_op_parallelism_threads(1) - tf.config.threading.set_intra_op_parallelism_threads(1) - import qibo - -Note that this should be run during Tensorflow initialization in the beginning -of the script and before creating the qibo backend. +For similar wariness when using a machine learning backend (such as TensorFlow or Pytorch) +please refer to the Qiboml documentation. Using multiple GPUs ^^^^^^^^^^^^^^^^^^^ @@ -707,13 +696,18 @@ circuit output matches a target state using the fidelity as the corresponding lo Note that, as in the following example, the rotation angles have to assume real values to ensure the rotational gates are representing unitary operators. +Qibo doesn't provide Tensorflow and Pytorch as native backends; Qiboml has to be +installed and used as provider of these quantum machine learning backends. + .. code-block:: python import qibo - qibo.set_backend("tensorflow") - import tensorflow as tf + qibo.set_backend(backend="qiboml", platform="tensorflow") from qibo import gates, models + backend = qibo.get_backend() + tf = backend.tf + # Optimization parameters nepochs = 1000 optimizer = tf.keras.optimizers.Adam() @@ -737,8 +731,9 @@ to ensure the rotational gates are representing unitary operators. optimizer.apply_gradients(zip([grads], [params])) -Note that the ``"tensorflow"`` backend has to be used here because other custom -backends do not support automatic differentiation. +Note that the ``"tensorflow"`` backend has to be used here since it provides +automatic differentiation tools. To be constructed, the Qiboml package has to be +installed and used. The optimization procedure may also be compiled, however in this case it is not possible to use :meth:`qibo.circuit.Circuit.set_parameters` as the @@ -748,10 +743,12 @@ For example: .. code-block:: python import qibo - qibo.set_backend("tensorflow") - import tensorflow as tf + qibo.set_backend(backend="qiboml", platform="tensorflow") from qibo import gates, models + backend = qibo.get_backend() + tf = backend.tf + nepochs = 1000 optimizer = tf.keras.optimizers.Adam() target_state = tf.ones(4, dtype=tf.complex128) / 2.0 diff --git a/examples/anomaly_detection/test.py b/examples/anomaly_detection/test.py index 6104fa6294..88997b6d09 100644 --- a/examples/anomaly_detection/test.py +++ b/examples/anomaly_detection/test.py @@ -3,7 +3,6 @@ import matplotlib.pyplot as plt import numpy as np -import tensorflow as tf import qibo from qibo import Circuit, gates @@ -22,7 +21,8 @@ def main(n_layers, train_size, filename, plot, save_loss): save_loss (bool): save losses for standard and anomalous data (default False). """ - qibo.set_backend("tensorflow") + qibo.set_backend(backend="qiboml", platform="tensorflow") + tf = qibo.get_backend().tf # Circuit ansatz def make_encoder(n_qubits, n_layers, params, q_compression): diff --git a/examples/anomaly_detection/train.py b/examples/anomaly_detection/train.py index 0406a1f122..f77377abb5 100644 --- a/examples/anomaly_detection/train.py +++ b/examples/anomaly_detection/train.py @@ -3,7 +3,6 @@ from pathlib import Path import numpy as np -import tensorflow as tf import qibo from qibo import Circuit, gates @@ -23,7 +22,8 @@ def main(n_layers, batch_size, nepochs, train_size, filename, lr_boundaries): lr_boundaries (list): epochs when learning rate is reduced, 6 monotone growing values from 0 to nepochs (default [3,6,9,12,15,18]). """ - qibo.set_backend("tensorflow") + qibo.set_backend(backend="qiboml", platform="tensorflow") + tf = qibo.get_backend().tf # Circuit ansatz def make_encoder(n_qubits, n_layers, params, q_compression): diff --git a/examples/benchmarks/main.py b/examples/benchmarks/main.py index 31b7eaec84..950b7e8843 100644 --- a/examples/benchmarks/main.py +++ b/examples/benchmarks/main.py @@ -47,7 +47,10 @@ def limit_gpu_memory(memory_limit=None): Args: memory_limit: Memory limit in MBs. """ - import tensorflow as tf + import qibo + + qibo.set_backend(backend="qiboml", platform="tensorflow") + tf = qibo.get_backend().tf if memory_limit is None: print("\nNo GPU memory limiter used.\n") diff --git a/examples/qclustering/minimization.py b/examples/qclustering/minimization.py index 35fd9f2e34..75a8ca2656 100644 --- a/examples/qclustering/minimization.py +++ b/examples/qclustering/minimization.py @@ -1,10 +1,10 @@ import math import numpy as np -import tensorflow as tf from grover import grover_qc from oracle import create_oracle_circ +import qibo from qibo import gates from qibo.models import Circuit @@ -23,6 +23,8 @@ def duerr_hoyer_algo(distances): int New cluster assigned for that point. """ + qibo.set_backend(backend="qiboml", platform="tensorflow") + tf = qibo.get_backend().tf k = len(distances) n = int(math.floor(math.log2(k)) + 1) diff --git a/examples/reuploading_classifier/qlassifier.py b/examples/reuploading_classifier/qlassifier.py index bc20cbc253..08dff3fb16 100644 --- a/examples/reuploading_classifier/qlassifier.py +++ b/examples/reuploading_classifier/qlassifier.py @@ -5,6 +5,7 @@ from matplotlib.cm import get_cmap from matplotlib.colors import Normalize +import qibo from qibo import Circuit, gates @@ -117,7 +118,8 @@ def minimize(self, method="BFGS", options=None, compile=True): parameters = r[1].result.xbest elif method == "sgd": - import tensorflow as tf + qibo.set_backend(backend="qiboml", platform="tensorflow") + tf = qibo.get_backend().tf circuit = self.circuit(self.training_set[0]) From 652cd4d9cc0993ca0c7ed78cbce287bb98ebbff5 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Fri, 25 Oct 2024 16:11:00 +0200 Subject: [PATCH 37/40] chore: remove tf from tests deps --- pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 5bba74587b..4fcde8e86f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,7 +31,6 @@ tabulate = "^0.9.0" openqasm3 = { version = ">=0.5.0", extras = ["parser"] } numpy = "^1.26.4" networkx = "^3.2.1" -tensorflow = { version = "^2.16.1", markers = "sys_platform == 'linux' or sys_platform == 'darwin'", optional = true } torch = { version = "^2.1.1,<2.4", optional = true } qulacs = { version = "^0.6.4", optional = true, markers = "(sys_platform == 'darwin' and python_version > '3.9') or sys_platform != 'darwin'" } From f9e0f5c4d28d50aa48c6d79934b8a8bc37e1d820 Mon Sep 17 00:00:00 2001 From: MatteoRobbiati Date: Fri, 25 Oct 2024 16:19:47 +0200 Subject: [PATCH 38/40] chore: updating lock file --- poetry.lock | 100 ++++++++++++++++++++++++++-------------------------- 1 file changed, 50 insertions(+), 50 deletions(-) diff --git a/poetry.lock b/poetry.lock index fc38f63d80..7e16ffa467 100644 --- a/poetry.lock +++ b/poetry.lock @@ -151,13 +151,13 @@ tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy" [[package]] name = "autoray" -version = "0.6.12" +version = "0.7.0" description = "Abstract your array operations." optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - 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{file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"}, - {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"}, + {file = "tqdm-4.66.6-py3-none-any.whl", hash = "sha256:223e8b5359c2efc4b30555531f09e9f2f3589bcd7fdd389271191031b49b7a63"}, + {file = "tqdm-4.66.6.tar.gz", hash = "sha256:4bdd694238bef1485ce839d67967ab50af8f9272aab687c0d7702a01da0be090"}, ] [package.dependencies] @@ -6043,4 +6043,4 @@ torch = ["torch"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "ad59845297cdb3e4f51ad3c2d0324277bb16bbda684696ffd68940047e18e1ff" +content-hash = "731880ba3f30c5c16b15692d782ced337173dac75fc8990bea1cd7baaef7f01b" diff --git a/pyproject.toml b/pyproject.toml index 473ac1c5a0..cb119af5b6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -72,7 +72,7 @@ matplotlib = "^3.7.0" torch = "^2.1.1,<2.4" qibojit = { git = "https://github.com/qiboteam/qibojit.git" } qibotn = { git = "https://github.com/qiboteam/qibotn.git" } -qiboml = { git = "https://github.com/qiboteam/qiboml.git", branch = "tf-back"} +qiboml = { git = "https://github.com/qiboteam/qiboml.git" } stim = "^1.12.0" qulacs = { version = "^0.6.4", markers = "(sys_platform == 'darwin' and python_version > '3.9') or sys_platform != 'darwin'" }