FM / python

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

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

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docs/	-	0755	rm
examples/	-	0755	rm
fakelowp/	-	0755	rm
helpers/	-	0755	rm
ideep/	-	0755	rm
layers/	-	0755	rm
mint/	-	0755	rm
mkl/	-	0755	rm
modeling/	-	0755	rm
models/	-	0755	rm
onnx/	-	0755	rm
operator_test/	-	0755	rm
predictor/	-	0755	rm
rnn/	-	0755	rm
serialized_test/	-	0755	rm
test/	-	0755	rm
trt/	-	0755	rm
__pycache__/	-	0755	rm
allcompare_test.py	2255	0644	edit dl rm
attention.py	12359	0644	edit dl rm
benchmark_generator.py	4912	0644	edit dl rm
binarysize.py	5521	0644	edit dl rm
brew.py	4762	0644	edit dl rm
brew_test.py	11739	0644	edit dl rm
build.py	153	0644	edit dl rm
cached_reader.py	4394	0644	edit dl rm
caffe2_pybind11_state.cpython-36m-x86_64-linux-gnu.so	48299712	0755	edit dl rm
caffe2_pybind11_state_gpu.cpython-36m-x86_64-linux-gnu.so	49048144	0755	edit dl rm
caffe_translator.py	35227	0644	edit dl rm
caffe_translator_test.py	3553	0644	edit dl rm
checkpoint.py	32101	0644	edit dl rm
checkpoint_test.py	13405	0644	edit dl rm
cnn.py	7626	0644	edit dl rm
context.py	2841	0644	edit dl rm
context_test.py	1792	0644	edit dl rm
control.py	19309	0644	edit dl rm
control_ops_grad.py	28893	0644	edit dl rm
control_ops_grad_test.py	1752	0644	edit dl rm
control_ops_util.py	10863	0644	edit dl rm
control_test.py	12276	0644	edit dl rm
convert.py	55	0644	edit dl rm
convert_test.py	201	0644	edit dl rm
convnet_benchmarks.py	20533	0644	edit dl rm
convnet_benchmarks_test.py	839	0644	edit dl rm
core.py	119400	0644	edit dl rm
core_gradients_test.py	38022	0644	edit dl rm
core_test.py	47683	0644	edit dl rm
crf.py	13250	0644	edit dl rm
crf_predict.py	1159	0644	edit dl rm
crf_viterbi_test.py	1663	0644	edit dl rm
dataio.py	23532	0644	edit dl rm
dataio_test.py	17575	0644	edit dl rm
dataset.py	12886	0644	edit dl rm
data_parallel_model.py	83100	0644	edit dl rm
data_parallel_model_test.py	56145	0644	edit dl rm
data_workers.py	15941	0644	edit dl rm
data_workers_test.py	6561	0644	edit dl rm
db_file_reader.py	6608	0644	edit dl rm
db_test.py	1110	0644	edit dl rm
device_checker.py	5157	0644	edit dl rm
dyndep.py	1533	0644	edit dl rm
embedding_generation_benchmark.py	5256	0644	edit dl rm
experiment_util.py	3625	0644	edit dl rm
extension_loader.py	744	0644	edit dl rm
fakefp16_transform_lib.py	322	0644	edit dl rm
filler_test.py	748	0644	edit dl rm
functional.py	4415	0644	edit dl rm
functional_test.py	4204	0644	edit dl rm
fused_8bit_rowwise_conversion_ops_test.py	3945	0644	edit dl rm
gradient_checker.py	15377	0644	edit dl rm
gradient_check_test.py	20729	0644	edit dl rm
gru_cell.py	5129	0644	edit dl rm
hip_test_util.py	405	0644	edit dl rm
hsm_util.py	2259	0644	edit dl rm
hypothesis_test.py	105762	0644	edit dl rm
hypothesis_test_util.py	26853	0644	edit dl rm
ideep_test_util.py	998	0644	edit dl rm
layers_test.py	92931	0644	edit dl rm
layer_model_helper.py	29340	0644	edit dl rm
layer_model_instantiator.py	3935	0644	edit dl rm
layer_parameter_sharing_test.py	9148	0644	edit dl rm
layer_test_util.py	4875	0644	edit dl rm
lazy.py	277	0644	edit dl rm
lazy_dyndep.py	2562	0644	edit dl rm
lazy_dyndep_test.py	3914	0644	edit dl rm
lengths_reducer_fused_8bit_rowwise_ops_test.py	7575	0644	edit dl rm
lengths_reducer_rowwise_8bit_ops_test.py	5710	0644	edit dl rm
lstm_benchmark.py	10649	0644	edit dl rm
memonger.py	34041	0644	edit dl rm
memonger_test.py	36910	0644	edit dl rm
mkl_test_util.py	1142	0644	edit dl rm
model_device_test.py	4777	0644	edit dl rm
model_helper.py	23492	0644	edit dl rm
model_helper_test.py	2336	0644	edit dl rm
modifier_context.py	1772	0644	edit dl rm
muji.py	8131	0644	edit dl rm
muji_test.py	3058	0644	edit dl rm
net_builder.py	27679	0644	edit dl rm
net_builder_test.py	11382	0644	edit dl rm
net_drawer.py	14264	0644	edit dl rm
net_printer.py	12704	0644	edit dl rm
net_printer_test.py	3190	0644	edit dl rm
nomnigraph.py	4216	0644	edit dl rm
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nomnigraph_transformations.py	3787	0644	edit dl rm
nomnigraph_transformations_test.py	5767	0644	edit dl rm
normalizer.py	1411	0644	edit dl rm
normalizer_context.py	1007	0644	edit dl rm
normalizer_test.py	487	0644	edit dl rm
numa_benchmark.py	2230	0644	edit dl rm
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observer_test.py	5316	0644	edit dl rm
operator_fp_exceptions_test.py	1248	0644	edit dl rm
optimizer.py	78813	0644	edit dl rm
optimizer_context.py	1462	0644	edit dl rm
optimizer_test.py	30705	0644	edit dl rm
optimizer_test_util.py	9187	0644	edit dl rm
parallelize_bmuf_distributed_test.py	9908	0644	edit dl rm
parallel_workers.py	7682	0644	edit dl rm
parallel_workers_test.py	3501	0644	edit dl rm
pipeline.py	17283	0644	edit dl rm
pipeline_test.py	2542	0644	edit dl rm
predictor_constants.py	198	0644	edit dl rm
python_op_test.py	9169	0644	edit dl rm
queue_util.py	4459	0644	edit dl rm
record_queue.py	4453	0644	edit dl rm
recurrent.py	13297	0644	edit dl rm
regularizer.py	21120	0644	edit dl rm
regularizer_context.py	1013	0644	edit dl rm
regularizer_test.py	10266	0644	edit dl rm
rnn_cell.py	68233	0644	edit dl rm
schema.py	45621	0644	edit dl rm
schema_test.py	15754	0644	edit dl rm
scope.py	3623	0644	edit dl rm
scope_test.py	5249	0644	edit dl rm
session.py	7642	0644	edit dl rm
session_test.py	2078	0644	edit dl rm
sparse_to_dense_mask_test.py	6565	0644	edit dl rm
sparse_to_dense_test.py	3556	0644	edit dl rm
task.py	24274	0644	edit dl rm
task_test.py	870	0644	edit dl rm
test_util.py	3524	0644	edit dl rm
text_file_reader.py	1990	0644	edit dl rm
timeout_guard.py	4054	0644	edit dl rm
toy_regression_test.py	2822	0644	edit dl rm
transformations.py	1832	0644	edit dl rm
transformations_test.py	11960	0644	edit dl rm
tt_core.py	9349	0644	edit dl rm
tt_core_test.py	2518	0644	edit dl rm
utils.py	14181	0644	edit dl rm
utils_test.py	1399	0644	edit dl rm
visualize.py	6315	0644	edit dl rm
workspace.py	25263	0644	edit dl rm
workspace_test.py	34844	0644	edit dl rm
_import_c_extension.py	2250	0644	edit dl rm
__init__.py	3925	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/lengths_reducer_rowwise_8bit_ops_test.py (5710B)

from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util as hu

import numpy as np

def FakeQuantization8BitsRowwise(data):
    min_el = np.min(data, axis=1)
    max_el = np.max(data, axis=1)
    scale = (max_el - min_el) / 255.
    bias = min_el
    inv_scale = 1. / scale
    data = data.T
    data = np.round((data - bias) * inv_scale) * scale + bias
    return data.T

class TestQuantize8bits(hu.HypothesisTestCase):

def test_quantize_op(self):
        op = core.CreateOperator(
            'FloatToRowwiseQuantized8Bits',
            ['input_data'],
            ['quantized_input', 'scale_bias'])
        input_data = np.float32(np.asarray([[801., 786, 235.2, 2353.3434],
                                            [5., 11., 9., -2.]]))
        workspace.FeedBlob('input_data', input_data)
        workspace.RunOperatorOnce(op)
        op1 = core.CreateOperator(
            'Rowwise8BitQuantizedToFloat',
            ['quantized_input', 'scale_bias'],
            ['dequantized_input'])
        workspace.RunOperatorOnce(op1)
        result = workspace.FetchBlob('dequantized_input')
        ground_truth = FakeQuantization8BitsRowwise(input_data)
        np.testing.assert_array_almost_equal(
            result, ground_truth)

def test_quantize_tensor_with_const_row_op(self):
        op = core.CreateOperator(
            'FloatToRowwiseQuantized8Bits',
            ['input_data'],
            ['quantized_input', 'scale_bias'])
        input_data = np.float32(np.asarray([[801., 786, 235.2, 2353.3434],
                                            [9., 9., 9., 9.]]))
        workspace.FeedBlob('input_data', input_data)
        workspace.RunOperatorOnce(op)
        op1 = core.CreateOperator(
            'Rowwise8BitQuantizedToFloat',
            ['quantized_input', 'scale_bias'],
            ['dequantized_input'])
        workspace.RunOperatorOnce(op1)
        result = workspace.FetchBlob('dequantized_input')
        ground_truth = FakeQuantization8BitsRowwise(input_data)
        ground_truth[1, :] = 9.
        np.testing.assert_array_almost_equal(
            result, ground_truth)

def test_SparseSegmentUint8(self):

init_net = core.Net("init")
        net = core.Net("bench")
        size = 10**3
        isize = 10**2

# input preparation
        d = init_net.UniformFill([], shape=[size, 32])
        w = init_net.UniformFill([], shape=[isize, ])
        i = init_net.UniformIntFill([], shape=[isize], max=size - 1)
        i = init_net.Cast([i], to=core.DataType.INT64)
        l = init_net.ConstantFill(
            [],
            ['l'],
            shape=[isize // 10],
            value=10,
            dtype=core.DataType.INT32,
        )
        net.FloatToRowwiseQuantized8Bits([d],
                                         ['quantized_data', 'scale_bias'])
        net.Rowwise8BitQuantizedToFloat(['quantized_data', 'scale_bias'],
                                        ['dequantized_data'])

# SparseLengthsWeightedSum
        net.SparseLengthsWeightedSum(['dequantized_data', w, i, l],
                                     ['PositionWeighted_0'], engine='fp16')
        net.SparseLengthsWeightedSum8BitsRowwise(
            ['quantized_data', w, i, l, 'scale_bias'],
            ['PositionWeighted_1'])

# SparseLengthsSum
        net.SparseLengthsSum(['dequantized_data', i, l],
                             ['Sum_0'], engine='fp16')

net.SparseLengthsSum8BitsRowwise(
            ['quantized_data', i, l, 'scale_bias'],
            ['Sum_1'])

# SparseLengthsWeightedMean
        # net.SparseLengthsWeightedMean(['dequantized_data', w, i, l],
        #                              ['WeightedMean_0'])
        # net.SparseLengthsWeightedMean8BitsRowwise(
        #     ['quantized_data', w, i, l, 'scale_bias'],
        #     ['WeightedMean_1'])

# SparseLengthsMean
        net.SparseLengthsMean(['dequantized_data', i, l],
                              ['Mean_0'], engine='fp16')

net.SparseLengthsMean8BitsRowwise(
            ['quantized_data', i, l, 'scale_bias'],
            ['Mean_1'])

gathered_w = net.Gather(['quantized_data', i],
                                engine='fp16')

gathered_scale_bias = net.Gather(['scale_bias', i],
                                         engine='fp16')
        net.Rowwise8BitQuantizedToFloat(
            [gathered_w, gathered_scale_bias],
            'Gathered_1')

net.Gather(['dequantized_data', i], 'Gathered_0')

workspace.GlobalInit(['caffe2', '--caffe2_log_level=0'])
        workspace.RunNetOnce(init_net)
        workspace.CreateNet(net)
        workspace.RunNetOnce(net)

PositionWeighted_1 = workspace.FetchBlob('PositionWeighted_1')
        ground_truth_posw = workspace.FetchBlob('PositionWeighted_0')
        np.testing.assert_array_almost_equal(PositionWeighted_1,
                                             ground_truth_posw, decimal=5)
        Sum_1 = workspace.FetchBlob('Sum_1')
        ground_truth_sum = workspace.FetchBlob('Sum_0')
        np.testing.assert_array_almost_equal(Sum_1,
                                             ground_truth_sum, decimal=5)

Mean_1 = workspace.FetchBlob('Mean_1')
        ground_truth_mean = workspace.FetchBlob('Mean_0')
        np.testing.assert_array_almost_equal(Mean_1,
                                             ground_truth_mean, decimal=5)

Gathered_1 = workspace.FetchBlob('Gathered_1')
        ground_truth_gathered = workspace.FetchBlob('Gathered_0')
        np.testing.assert_array_almost_equal(Gathered_1,
                                             ground_truth_gathered, decimal=5)

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