FM / operator

/usr/local/lib64/python3.6/site-packages/caffe2/python/operator_test/

/usr/local/lib64/python3.6/site-packages/caffe2/python/operator_test

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
activation_ops_test.py	9691	0644	edit dl rm
adadelta_test.py	7932	0644	edit dl rm
adagrad_test.py	7586	0644	edit dl rm
adagrad_test_helper.py	5181	0644	edit dl rm
adam_test.py	21559	0644	edit dl rm
affine_channel_op_test.py	3784	0644	edit dl rm
alias_with_name_test.py	938	0644	edit dl rm
apmeter_test.py	2738	0644	edit dl rm
arg_ops_test.py	1917	0644	edit dl rm
assert_test.py	797	0644	edit dl rm
async_net_barrier_test.py	946	0644	edit dl rm
atomic_ops_test.py	4104	0644	edit dl rm
basic_rnn_test.py	4720	0644	edit dl rm
batch_box_cox_test.py	5080	0644	edit dl rm
batch_bucketize_op_test.py	3730	0644	edit dl rm
batch_moments_op_test.py	2795	0644	edit dl rm
batch_sparse_to_dense_op_test.py	4199	0644	edit dl rm
bbox_transform_test.py	12258	0644	edit dl rm
bisect_percentile_op_test.py	6227	0644	edit dl rm
blobs_queue_db_test.py	3240	0644	edit dl rm
boolean_mask_test.py	16389	0644	edit dl rm
boolean_unmask_test.py	1711	0644	edit dl rm
box_with_nms_limit_op_test.py	8750	0644	edit dl rm
bucketize_op_test.py	930	0644	edit dl rm
cast_op_test.py	1600	0644	edit dl rm
ceil_op_test.py	888	0644	edit dl rm
channel_backprop_stats_op_test.py	2131	0644	edit dl rm
channel_shuffle_test.py	1794	0644	edit dl rm
channel_stats_op_test.py	2639	0644	edit dl rm
checkpoint_test.py	1500	0644	edit dl rm
clip_op_test.py	1984	0644	edit dl rm
clip_tensor_op_test.py	2076	0644	edit dl rm
collect_and_distribute_fpn_rpn_proposals_op_test.py	11269	0644	edit dl rm
concat_op_cost_test.py	2858	0644	edit dl rm
concat_split_op_test.py	7266	0644	edit dl rm
conditional_test.py	995	0644	edit dl rm
conftest.py	1446	0644	edit dl rm
conv_test.py	32473	0644	edit dl rm
conv_transpose_test.py	15945	0644	edit dl rm
copy_ops_test.py	7374	0644	edit dl rm
copy_rows_to_tensor_op_test.py	2526	0644	edit dl rm
cosine_embedding_criterion_op_test.py	1953	0644	edit dl rm
counter_ops_test.py	3348	0644	edit dl rm
crf_test.py	5315	0644	edit dl rm
cross_entropy_ops_test.py	10085	0644	edit dl rm
ctc_beam_search_decoder_op_test.py	5197	0644	edit dl rm
ctc_greedy_decoder_op_test.py	4743	0644	edit dl rm
cudnn_recurrent_test.py	5817	0644	edit dl rm
dataset_ops_test.py	23847	0644	edit dl rm
data_couple_op_test.py	858	0644	edit dl rm
decay_adagrad_test.py	2694	0644	edit dl rm
deform_conv_test.py	19276	0644	edit dl rm
dense_vector_to_id_list_op_test.py	2044	0644	edit dl rm
depthwise_3x3_conv_test.py	1863	0644	edit dl rm
detectron_keypoints.py	7973	0644	edit dl rm
distance_op_test.py	4351	0644	edit dl rm
dropout_op_test.py	2971	0644	edit dl rm
duplicate_operands_test.py	734	0644	edit dl rm
elementwise_linear_op_test.py	1382	0644	edit dl rm
elementwise_logical_ops_test.py	4617	0644	edit dl rm
elementwise_ops_test.py	33354	0644	edit dl rm
elementwise_op_broadcast_test.py	17466	0644	edit dl rm
emptysample_ops_test.py	1977	0644	edit dl rm
enforce_finite_op_test.py	1286	0644	edit dl rm
ensure_clipped_test.py	1505	0644	edit dl rm
ensure_cpu_output_op_test.py	1244	0644	edit dl rm
erf_op_test.py	749	0644	edit dl rm
expand_op_test.py	2109	0644	edit dl rm
fc_operator_test.py	3720	0644	edit dl rm
feature_maps_ops_test.py	21492	0644	edit dl rm
filler_ops_test.py	8476	0644	edit dl rm
find_op_test.py	1316	0644	edit dl rm
flatten_op_test.py	922	0644	edit dl rm
flexible_top_k_test.py	2609	0644	edit dl rm
floor_op_test.py	894	0644	edit dl rm
fused_nbit_rowwise_conversion_ops_test.py	14077	0644	edit dl rm
fused_nbit_rowwise_test_helper.py	2693	0644	edit dl rm
gather_ops_test.py	9216	0644	edit dl rm
gather_ranges_op_test.py	9125	0644	edit dl rm
given_tensor_byte_string_to_uint8_fill_op_test.py	1392	0644	edit dl rm
given_tensor_fill_op_test.py	1503	0644	edit dl rm
glu_op_test.py	1212	0644	edit dl rm
group_conv_test.py	2870	0644	edit dl rm
group_norm_op_test.py	5252	0644	edit dl rm
gru_test.py	12932	0644	edit dl rm
heatmap_max_keypoint_op_test.py	4770	0644	edit dl rm
histogram_test.py	3097	0644	edit dl rm
hsm_test.py	9456	0644	edit dl rm
hyperbolic_ops_test.py	1472	0644	edit dl rm
im2col_col2im_test.py	4311	0644	edit dl rm
image_input_op_test.py	17345	0644	edit dl rm
index_hash_ops_test.py	2885	0644	edit dl rm
index_ops_test.py	4597	0644	edit dl rm
instance_norm_test.py	9917	0644	edit dl rm
integral_image_ops_test.py	3419	0644	edit dl rm
jsd_ops_test.py	1044	0644	edit dl rm
key_split_ops_test.py	1289	0644	edit dl rm
lars_test.py	1354	0644	edit dl rm
layer_norm_op_test.py	14983	0644	edit dl rm
leaky_relu_test.py	5639	0644	edit dl rm
learning_rate_adaption_op_test.py	2837	0644	edit dl rm
learning_rate_op_test.py	8652	0644	edit dl rm
lengths_pad_op_test.py	1625	0644	edit dl rm
lengths_reducer_fused_nbit_rowwise_ops_test.py	15495	0644	edit dl rm
lengths_tile_op_test.py	1332	0644	edit dl rm
lengths_top_k_ops_test.py	2371	0644	edit dl rm
length_split_op_test.py	4868	0644	edit dl rm
listwise_l2r_operator_test.py	8740	0644	edit dl rm
load_save_test.py	33241	0644	edit dl rm
locally_connected_op_test.py	7761	0644	edit dl rm
loss_ops_test.py	902	0644	edit dl rm
lpnorm_op_test.py	2725	0644	edit dl rm
map_ops_test.py	2249	0644	edit dl rm
margin_ranking_criterion_op_test.py	1816	0644	edit dl rm
math_ops_test.py	1603	0644	edit dl rm
matmul_op_test.py	10096	0644	edit dl rm
mean_op_test.py	1469	0644	edit dl rm
merge_id_lists_op_test.py	2989	0644	edit dl rm
mkl_conv_op_test.py	1547	0644	edit dl rm
mkl_packed_fc_op_test.py	2647	0644	edit dl rm
mod_op_test.py	1459	0644	edit dl rm
moments_op_test.py	1722	0644	edit dl rm
momentum_sgd_test.py	6480	0644	edit dl rm
mpi_test.py	8154	0644	edit dl rm
mul_gradient_benchmark.py	1509	0644	edit dl rm
negate_gradient_op_test.py	1518	0644	edit dl rm
ngram_ops_test.py	2327	0644	edit dl rm
normalize_op_test.py	1679	0644	edit dl rm
numpy_tile_op_test.py	1924	0644	edit dl rm
one_hot_ops_test.py	7478	0644	edit dl rm
onnx_while_test.py	3070	0644	edit dl rm
order_switch_test.py	1306	0644	edit dl rm
pack_ops_test.py	12634	0644	edit dl rm
pack_rnn_sequence_op_test.py	2891	0644	edit dl rm
pad_test.py	1377	0644	edit dl rm
partition_ops_test.py	6838	0644	edit dl rm
percentile_op_test.py	4427	0644	edit dl rm
piecewise_linear_transform_test.py	6187	0644	edit dl rm
pooling_test.py	16508	0644	edit dl rm
prepend_dim_test.py	1505	0644	edit dl rm
python_op_test.py	1312	0644	edit dl rm
quantile_test.py	3276	0644	edit dl rm
rand_quantization_op_speed_test.py	3128	0644	edit dl rm
rank_loss_operator_test.py	5752	0644	edit dl rm
rebatching_queue_test.py	9047	0644	edit dl rm
record_queue_test.py	3125	0644	edit dl rm
recurrent_network_test.py	14048	0644	edit dl rm
recurrent_net_executor_test.py	10922	0644	edit dl rm
reduce_ops_test.py	17341	0644	edit dl rm
reduction_ops_test.py	4664	0644	edit dl rm
reshape_ops_test.py	8211	0644	edit dl rm
resize_op_test.py	9417	0644	edit dl rm
rmac_regions_op_test.py	3178	0644	edit dl rm
rms_norm_op_test.py	1325	0644	edit dl rm
rnn_cell_test.py	59707	0644	edit dl rm
roi_align_rotated_op_test.py	7567	0644	edit dl rm
rowwise_counter_test.py	2205	0644	edit dl rm
scale_op_test.py	2177	0644	edit dl rm
segment_ops_test.py	25745	0644	edit dl rm
self_binning_histogram_test.py	12915	0644	edit dl rm
selu_op_test.py	3232	0644	edit dl rm
sequence_ops_test.py	16000	0644	edit dl rm
shape_inference_test.py	25708	0644	edit dl rm
sinusoid_position_encoding_op_test.py	2308	0644	edit dl rm
softmax_ops_test.py	23685	0644	edit dl rm
softplus_op_test.py	516	0644	edit dl rm
sparse_dropout_with_replacement_op_test.py	2885	0644	edit dl rm
sparse_gradient_checker_test.py	1294	0644	edit dl rm
sparse_itemwise_dropout_with_replacement_op_test.py	2913	0644	edit dl rm
sparse_lengths_sum_benchmark.py	4159	0644	edit dl rm
sparse_lp_regularizer_test.py	2553	0644	edit dl rm
sparse_normalize_test.py	3136	0644	edit dl rm
sparse_ops_test.py	3469	0644	edit dl rm
sparse_to_dense_mask_op_test.py	3693	0644	edit dl rm
spatial_bn_op_test.py	20182	0644	edit dl rm
specialized_segment_ops_test.py	11775	0644	edit dl rm
split_op_cost_test.py	8645	0644	edit dl rm
square_root_divide_op_test.py	2179	0644	edit dl rm
stats_ops_test.py	1789	0644	edit dl rm
stats_put_ops_test.py	6596	0644	edit dl rm
storm_test.py	6507	0644	edit dl rm
string_ops_test.py	4154	0644	edit dl rm
text_file_reader_test.py	2517	0644	edit dl rm
thresholded_relu_op_test.py	2323	0644	edit dl rm
tile_op_test.py	3887	0644	edit dl rm
top_k_test.py	9113	0644	edit dl rm
torch_integration_test.py	39941	0644	edit dl rm
transpose_op_test.py	2722	0644	edit dl rm
trigonometric_op_test.py	1715	0644	edit dl rm
unique_ops_test.py	2255	0644	edit dl rm
unique_uniform_fill_op_test.py	1335	0644	edit dl rm
unsafe_coalesce_test.py	2940	0644	edit dl rm
upsample_op_test.py	7308	0644	edit dl rm
utility_ops_test.py	15054	0644	edit dl rm
video_input_op_test.py	10503	0644	edit dl rm
weighted_multi_sample_test.py	1997	0644	edit dl rm
weighted_sample_test.py	2739	0644	edit dl rm
weighted_sum_test.py	3052	0644	edit dl rm
weight_scale_test.py	2057	0644	edit dl rm
wngrad_test.py	8279	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/operator_test/copy_ops_test.py (7374B)

import numpy as np

import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, model_helper, brew, test_util

class CopyOpsTest(test_util.TestCase):

def tearDown(self):
        # Reset workspace after each test
        # Otherwise, the multi-GPU test will use previously created tensors,
        #   which may have been placed on the wrong device
        workspace.ResetWorkspace()

def run_test_copy_gradient(self, device_opt):
        model = model_helper.ModelHelper(name="copy_test")
        with core.DeviceScope(device_opt):
            x = model.net.AddExternalInputs("x")
            y = model.Copy(x, "y")
            loss = model.AveragedLoss(y, "loss")
            gradient_map = model.AddGradientOperators([loss])
            workspace.FeedBlob(x, np.random.rand(32).astype(np.float32))
            workspace.RunNetOnce(model.param_init_net)
            workspace.RunNetOnce(model.net)
            self.assertTrue(np.array_equal(
                workspace.FetchBlob(x),
                workspace.FetchBlob(y),
            ))
            self.assertTrue(np.array_equal(
                workspace.FetchBlob(gradient_map[x]),
                workspace.FetchBlob(gradient_map[y]),
            ))

def test_copy_gradient_cpu(self):
        self.run_test_copy_gradient(core.DeviceOption(caffe2_pb2.CPU, 0))

@unittest.skipIf(workspace.NumGpuDevices() < 1, "Need at least 1 GPU.")
    def test_copy_gradient_gpu(self):
        self.run_test_copy_gradient(core.DeviceOption(workspace.GpuDeviceType, 0))

@unittest.skipIf(workspace.NumGpuDevices() < 2, "Need at least 2 GPU.")
    def test_copy_gradient_multiple_gpus(self):
        model = model_helper.ModelHelper(name="copy_test")

with core.DeviceScope(core.DeviceOption(caffe2_pb2.CPU, 0)):
            x_cpu = model.net.AddExternalInputs("x_cpu")

with core.DeviceScope(core.DeviceOption(workspace.GpuDeviceType, 0)):
            x_gpu_1 = model.CopyCPUToGPU(x_cpu, "x_gpu_1")

with core.DeviceScope(core.DeviceOption(workspace.GpuDeviceType, 1)):
            x_gpu_2 = model.Copy(x_gpu_1, "x_gpu_2")
            loss = model.AveragedLoss(x_gpu_2, "loss")
            gradient_map = model.AddGradientOperators([loss])

workspace.FeedBlob("x_cpu", np.random.rand(32).astype(np.float32))
        workspace.RunNetOnce(model.param_init_net)
        workspace.RunNetOnce(model.net)

self.assertTrue(np.array_equal(
            workspace.FetchBlob("x_gpu_1"),
            workspace.FetchBlob("x_gpu_2"),
        ))
        self.assertTrue(np.array_equal(
            workspace.FetchBlob(gradient_map["x_gpu_1"]),
            workspace.FetchBlob(gradient_map["x_gpu_2"]),
        ))

def get_op_with_output(model, output_blob_name):
            for op in model.net.Proto().op:
                if len(op.output) == 1 and op.output[0] == output_blob_name:
                    return op
            return None

self.assertEqual(
            get_op_with_output(model, "x_gpu_2_grad").device_option,
            core.DeviceOption(workspace.GpuDeviceType, 1),
        )
        self.assertEqual(
            get_op_with_output(model, "x_cpu_grad").device_option,
            core.DeviceOption(workspace.GpuDeviceType, 0),
        )

@unittest.skipIf(workspace.NumGpuDevices() < 1, "Need at least 1 GPU.")
    def test_cpu2gpu_gpu2cpu_sparse_gradients(self):
        model = model_helper.ModelHelper(name="copy_test")
        v = model.param_init_net.UniformFill([], ["v"], shape=[16, 4])
        indices = model.param_init_net.UniformFill([], ["v"], shape=[16, 4])
        cpu_opt = core.DeviceOption(caffe2_pb2.CPU, 0)
        gpu_opt = core.DeviceOption(workspace.GpuDeviceType, 0)

with core.DeviceScope(gpu_opt):
            vcpu = model.CopyGPUToCPU(v, "vcpu")

with core.DeviceScope(cpu_opt):
            g = model.Gather([vcpu, indices], "g")

with core.DeviceScope(gpu_opt):
            ggpu = model.CopyCPUToGPU(g, "ggpu")
            f = brew.fc(model, ggpu, "out", dim_in=4, dim_out=6)
            (softmax, loss) = model.SoftmaxWithLoss(
                [f, "label"],
                ["softmax", "loss"],
            )
        gradient_map = model.AddGradientOperators([loss])
        self.assertTrue("v" in gradient_map)
        self.assertTrue(isinstance(gradient_map['v'], core.GradientSlice))

@unittest.skipIf(workspace.NumGpuDevices() < 1, "Need at least 1 GPU.")
    def test_cpu2gpu_gpu2cpu_gradients(self):
        model = model_helper.ModelHelper(name="copy_test")

batch = 32
        cpu_opt = core.DeviceOption(caffe2_pb2.CPU, 0)
        gpu_opt = core.DeviceOption(workspace.GpuDeviceType, 0)

with core.NameScope("cpu"):
            with core.DeviceScope(cpu_opt):
                x_cpu = brew.fc(model, 'data', 'x_cpu', 16, 8)

with core.NameScope("gpu_0"):
            with core.DeviceScope(gpu_opt):
                x_gpu = model.CopyCPUToGPU(x_cpu, "x_gpu")
                pred_gpu = brew.fc(model, x_gpu, "pred_gpu", 8, 4)
                pred_cpu = model.CopyGPUToCPU(pred_gpu, "pred_cpu")

with core.DeviceScope(cpu_opt):
            with core.NameScope("cpu"):
                (softmax, loss) = model.SoftmaxWithLoss(
                    [pred_cpu, "label"],
                    ["softmax", "loss"],
                )

gradient_map = model.AddGradientOperators([loss])

# Add param updates (for cpu and gpu)
        init_net = model.param_init_net
        with core.DeviceScope(cpu_opt):
            with core.NameScope("cpu"):
                ONE = init_net.ConstantFill([], "ONE", shape=[1], value=1.)
                LR = init_net.ConstantFill([], "LR", shape=[1], value=-2.0)
                for param in model.GetParams():
                    model.WeightedSum(
                        [param, ONE, gradient_map[param], LR],
                        param,
                    )

with core.NameScope("gpu_0"):
            with core.DeviceScope(gpu_opt):
                ONE = init_net.ConstantFill([], "ONE", shape=[1], value=1.)
                LR = init_net.ConstantFill([], "LR", shape=[1], value=-2.0)
                for param in model.GetParams():
                    model.WeightedSum(
                        [param, ONE, gradient_map[param], LR],
                        param,
                    )

with core.DeviceScope(cpu_opt):
            workspace.FeedBlob(
                'cpu/data',
                np.random.rand(batch, 16).astype(np.float32),
            )
            workspace.FeedBlob(
                'cpu/label',
                np.random.randint(4, size=batch).astype(np.int32),
            )

workspace.RunNetOnce(model.param_init_net)
        workspace.CreateNet(model.net)

initial_params = {p: workspace.FetchBlob(p) for p in model.GetParams()}
        workspace.RunNet(model.net.Proto().name)
        updated_params = {p: workspace.FetchBlob(p) for p in model.GetParams()}

for p in model.GetParams():
            g = gradient_map[p]
            expected = initial_params[p] - 2.0 * workspace.FetchBlob(g)
            actual = updated_params[p]
            self.assertTrue(
                np.array_equal(expected, updated_params[p]),
                "Mismatch: {}: {}, {}".format(p, expected, actual),
            )

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