Python test_utils.check_consistency函数代码示例

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本文整理汇总了Python中mxnet.test_utils.check_consistency函数的典型用法代码示例。如果您正苦于以下问题：Python check_consistency函数的具体用法？Python check_consistency怎么用？Python check_consistency使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。

在下文中一共展示了check_consistency函数的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: test_elementwisesum_with_type

def test_elementwisesum_with_type():
    sym = mx.sym.ElementWiseSum(name="ews", num_args=2)
    ctx_list = [
        {
            "ctx": mx.gpu(0),
            "ews_arg1": (2, 10),
            "ews_arg0": (2, 10),
            "type_dict": {"ews_arg0": np.float64, "ews_arg1": np.float64},
        },
        {
            "ctx": mx.gpu(0),
            "ews_arg1": (2, 10),
            "ews_arg0": (2, 10),
            "type_dict": {"ews_arg0": np.float32, "ews_arg1": np.float32},
        },
        {
            "ctx": mx.gpu(0),
            "ews_arg1": (2, 10),
            "ews_arg0": (2, 10),
            "type_dict": {"ews_arg0": np.float16, "ews_arg1": np.float16},
        },
        {
            "ctx": mx.cpu(0),
            "ews_arg1": (2, 10),
            "ews_arg0": (2, 10),
            "type_dict": {"ews_arg0": np.float64, "ews_arg1": np.float64},
        },
        {
            "ctx": mx.cpu(0),
            "ews_arg1": (2, 10),
            "ews_arg0": (2, 10),
            "type_dict": {"ews_arg0": np.float32, "ews_arg1": np.float32},
        },
    ]
    check_consistency(sym, ctx_list)

开发者ID:alextnewman，项目名称:mxnet，代码行数:35，代码来源:test_operator_gpu.py

示例2: test_convolution_with_type

def test_convolution_with_type():
    np.random.seed(1234)
    sym1 = mx.sym.Convolution(num_filter=3, kernel=(3,3), name='conv')

    data = mx.sym.Variable('conv_data')
    w = mx.sym.Variable('conv_weight')
    b = mx.sym.Variable('conv_bias')
    w = mx.sym.transpose(w, axes=(0,2,3,1))
    sym2 = mx.sym.transpose(data, axes=(0,2,3,1))
    sym2 = mx.sym.Convolution(sym2, w, b, layout='NHWC', num_filter=3, kernel=(3,3))
    sym2 = mx.sym.transpose(sym2, axes=(0,3,1,2), name='conv')

    sym = [sym1, sym1, sym1, sym1, sym1, sym2, sym2]
    ctx_list = [{'ctx': mx.gpu(0), 'conv_data': (2, 2, 10, 10), 'type_dict': {'conv_data': np.float64}},
                {'ctx': mx.gpu(0), 'conv_data': (2, 2, 10, 10), 'type_dict': {'conv_data': np.float32}},
                {'ctx': mx.gpu(0), 'conv_data': (2, 2, 10, 10), 'type_dict': {'conv_data': np.float16}},
                {'ctx': mx.cpu(0), 'conv_data': (2, 2, 10, 10), 'type_dict': {'conv_data': np.float64}},
                {'ctx': mx.cpu(0), 'conv_data': (2, 2, 10, 10), 'type_dict': {'conv_data': np.float32}},
                # NHWC
                {'ctx': mx.gpu(0), 'conv_data': (2, 2, 10, 10), 'conv_weight': (3, 2, 3, 3),
                 'type_dict': {'conv_data': np.float32, 'conv_weight': np.float32}},
                {'ctx': mx.gpu(0), 'conv_data': (2, 2, 10, 10), 'conv_weight': (3, 2, 3, 3),
                 'type_dict': {'conv_data': np.float16, 'conv_weight': np.float16}}
                ]
    # wider tolerance needed for true-fp16 NCHW test above
    tol = {np.dtype(np.float16): 0.5,
               np.dtype(np.float32): 1e-3,
               np.dtype(np.float64): 1e-5,
               np.dtype(np.uint8): 0,
               np.dtype(np.int32): 0}
    check_consistency(sym, ctx_list, tol=tol)
    # test ability to turn off training on bias
    check_consistency(sym, ctx_list, grad_req={'conv_data': 'write', 'conv_weight': 'write', 'conv_bias': 'null'}, tol=tol)

开发者ID:moveforever，项目名称:mxnet，代码行数:33，代码来源:test_operator_gpu.py

示例3: test_concat_with_type

def test_concat_with_type():
    sym = mx.sym.Concat(name="concat", num_args=2)
    ctx_list = [
        {
            "ctx": mx.gpu(0),
            "concat_arg1": (2, 10),
            "concat_arg0": (2, 10),
            "type_dict": {"concat_arg0": np.float64, "concat_arg1": np.float64},
        },
        {
            "ctx": mx.gpu(0),
            "concat_arg1": (2, 10),
            "concat_arg0": (2, 10),
            "type_dict": {"concat_arg0": np.float32, "concat_arg1": np.float32},
        },
        {
            "ctx": mx.gpu(0),
            "concat_arg1": (2, 10),
            "concat_arg0": (2, 10),
            "type_dict": {"concat_arg0": np.float16, "concat_arg1": np.float16},
        },
        {
            "ctx": mx.cpu(0),
            "concat_arg1": (2, 10),
            "concat_arg0": (2, 10),
            "type_dict": {"concat_arg0": np.float64, "concat_arg1": np.float64},
        },
        {
            "ctx": mx.cpu(0),
            "concat_arg1": (2, 10),
            "concat_arg0": (2, 10),
            "type_dict": {"concat_arg0": np.float32, "concat_arg1": np.float32},
        },
    ]
    check_consistency(sym, ctx_list)

开发者ID:alextnewman，项目名称:mxnet，代码行数:35，代码来源:test_operator_gpu.py

示例4: test_reshape_with_type

def test_reshape_with_type():
    sym = mx.sym.Reshape(name='reshape', shape=(-1,1,1,0))
    ctx_list = [{'ctx': mx.gpu(0), 'reshape_data': (2, 2, 2, 10), 'type_dict': {'reshape_data': np.float64}},
                {'ctx': mx.gpu(0), 'reshape_data': (2, 2, 2, 10), 'type_dict': {'reshape_data': np.float32}},
                {'ctx': mx.gpu(0), 'reshape_data': (2, 2, 2, 10), 'type_dict': {'reshape_data': np.float16}},
                {'ctx': mx.cpu(0), 'reshape_data': (2, 2, 2, 10), 'type_dict': {'reshape_data': np.float64}},
                {'ctx': mx.cpu(0), 'reshape_data': (2, 2, 2, 10), 'type_dict': {'reshape_data': np.float32}}]
    check_consistency(sym, ctx_list)

开发者ID:max0x，项目名称:mxnet，代码行数:8，代码来源:test_operator_gpu.py

示例5: test_upsampling_with_type

def test_upsampling_with_type():
    sym = mx.sym.UpSampling(scale=2, num_filter=2, name='up', sample_type = 'nearest', num_args=1)
    ctx_list = [{'ctx': mx.gpu(0), 'up_arg0': (2, 2, 2, 10), 'type_dict': {'up_arg0': np.float64}},
                {'ctx': mx.gpu(0), 'up_arg0': (2, 2, 2, 10), 'type_dict': {'up_arg0': np.float32}},
                {'ctx': mx.gpu(0), 'up_arg0': (2, 2, 2, 10), 'type_dict': {'up_arg0': np.float16}},
                {'ctx': mx.cpu(0), 'up_arg0': (2, 2, 2, 10), 'type_dict': {'up_arg0': np.float64}},
                {'ctx': mx.cpu(0), 'up_arg0': (2, 2, 2, 10), 'type_dict': {'up_arg0': np.float32}}]
    check_consistency(sym, ctx_list)

开发者ID:max0x，项目名称:mxnet，代码行数:8，代码来源:test_operator_gpu.py

示例6: test_batchnorm_with_type

def test_batchnorm_with_type():
    sym = mx.sym.BatchNorm(name='norm', fix_gamma=False)
    ctx_list = [{'ctx': mx.gpu(0), 'norm_data': (10, 2, 10, 10), 'type_dict': {'norm_data': np.float32}},
                {'ctx': mx.cpu(0), 'norm_data': (10, 2, 10, 10), 'type_dict': {'norm_data': np.float32}}]
    check_consistency(sym, ctx_list)

    sym = mx.sym.BatchNorm(name='norm', fix_gamma=True)
    check_consistency(sym, ctx_list)

开发者ID:max0x，项目名称:mxnet，代码行数:8，代码来源:test_operator_gpu.py

示例7: test_deconvolution_with_type

def test_deconvolution_with_type():
    sym = mx.sym.Deconvolution(num_filter=2, kernel=(3,3), name='deconv')
    ctx_list = [{'ctx': mx.gpu(0), 'deconv_data': (2, 2, 10, 10), 'type_dict': {'deconv_data': np.float64}},
                {'ctx': mx.gpu(0), 'deconv_data': (2, 2, 10, 10), 'type_dict': {'deconv_data': np.float32}},
                {'ctx': mx.gpu(0), 'deconv_data': (2, 2, 10, 10), 'type_dict': {'deconv_data': np.float16}},
                {'ctx': mx.cpu(0), 'deconv_data': (2, 2, 10, 10), 'type_dict': {'deconv_data': np.float64}},
                {'ctx': mx.cpu(0), 'deconv_data': (2, 2, 10, 10), 'type_dict': {'deconv_data': np.float32}}]
    check_consistency(sym, ctx_list)

开发者ID:4ker，项目名称:mxnet，代码行数:8，代码来源:test_operator_gpu.py

示例8: test_swapaxis_with_type

def test_swapaxis_with_type():
    sym = mx.sym.SwapAxis(name='swap', dim1=1)
    ctx_list = [{'ctx': mx.gpu(0), 'swap_data': (2, 2, 2, 10), 'type_dict': {'swap_data': np.float64}},
                {'ctx': mx.gpu(0), 'swap_data': (2, 2, 2, 10), 'type_dict': {'swap_data': np.float32}},
                {'ctx': mx.gpu(0), 'swap_data': (2, 2, 2, 10), 'type_dict': {'swap_data': np.float16}},
                {'ctx': mx.cpu(0), 'swap_data': (2, 2, 2, 10), 'type_dict': {'swap_data': np.float64}},
                {'ctx': mx.cpu(0), 'swap_data': (2, 2, 2, 10), 'type_dict': {'swap_data': np.float32}}]
    check_consistency(sym, ctx_list)

开发者ID:max0x，项目名称:mxnet，代码行数:8，代码来源:test_operator_gpu.py

示例9: test_fullyconnected_with_type

def test_fullyconnected_with_type():
    sym = mx.sym.FullyConnected(num_hidden=3, name='inner')
    ctx_list = [{'ctx': mx.gpu(0), 'inner_data': (2, 10), 'type_dict': {'inner_data': np.float64}},
                {'ctx': mx.gpu(0), 'inner_data': (2, 10), 'type_dict': {'inner_data': np.float32}},
                {'ctx': mx.gpu(0), 'inner_data': (2, 10), 'type_dict': {'inner_data': np.float16}},
                {'ctx': mx.cpu(0), 'inner_data': (2, 10), 'type_dict': {'inner_data': np.float64}},
                {'ctx': mx.cpu(0), 'inner_data': (2, 10), 'type_dict': {'inner_data': np.float32}}]
    check_consistency(sym, ctx_list)

开发者ID:max0x，项目名称:mxnet，代码行数:8，代码来源:test_operator_gpu.py

示例10: test_blockgrad_with_type

def test_blockgrad_with_type():
    sym = mx.sym.BlockGrad(name='bg')
    ctx_list = [{'ctx': mx.gpu(0), 'bg_data': (2, 2, 2, 10), 'type_dict': {'bg_data': np.float64}},
                {'ctx': mx.gpu(0), 'bg_data': (2, 2, 2, 10), 'type_dict': {'bg_data': np.float32}},
                {'ctx': mx.gpu(0), 'bg_data': (2, 2, 2, 10), 'type_dict': {'bg_data': np.float16}},
                {'ctx': mx.cpu(0), 'bg_data': (2, 2, 2, 10), 'type_dict': {'bg_data': np.float64}},
                {'ctx': mx.cpu(0), 'bg_data': (2, 2, 2, 10), 'type_dict': {'bg_data': np.float32}}]
    check_consistency(sym, ctx_list)

开发者ID:max0x，项目名称:mxnet，代码行数:8，代码来源:test_operator_gpu.py

示例11: test_activation_with_type

def test_activation_with_type():
    sym = mx.sym.Activation(name='act', act_type='sigmoid')
    ctx_list = [{'ctx': mx.gpu(0), 'act_data': (2, 2, 10, 10), 'type_dict': {'act_data': np.float64}},
                {'ctx': mx.gpu(0), 'act_data': (2, 2, 10, 10), 'type_dict': {'act_data': np.float32}},
                {'ctx': mx.gpu(0), 'act_data': (2, 2, 10, 10), 'type_dict': {'act_data': np.float16}},
                {'ctx': mx.cpu(0), 'act_data': (2, 2, 10, 10), 'type_dict': {'act_data': np.float64}},
                {'ctx': mx.cpu(0), 'act_data': (2, 2, 10, 10), 'type_dict': {'act_data': np.float32}},
                {'ctx': mx.cpu(0), 'act_data': (2, 2, 10, 10), 'type_dict': {'act_data': np.float16}}]
    check_consistency(sym, ctx_list)

开发者ID:max0x，项目名称:mxnet，代码行数:9，代码来源:test_operator_gpu.py

示例12: test_svmoutput_with_type

def test_svmoutput_with_type():
    sym = mx.sym.SVMOutput(name='svmoutput', use_linear=True)
    ctx_list = [{'ctx': mx.gpu(0), 'svmoutput_data': (20, 10), 'type_dict': {'svmoutput_data': np.float64}},
                {'ctx': mx.gpu(0), 'svmoutput_data': (20, 10), 'type_dict': {'svmoutput_data': np.float32}},
                {'ctx': mx.gpu(0), 'svmoutput_data': (20, 10), 'type_dict': {'svmoutput_data': np.float16}},
                {'ctx': mx.cpu(0), 'svmoutput_data': (20, 10), 'type_dict': {'svmoutput_data': np.float64}},
                {'ctx': mx.cpu(0), 'svmoutput_data': (20, 10), 'type_dict': {'svmoutput_data': np.float32}},
                {'ctx': mx.cpu(0), 'svmoutput_data': (20, 10), 'type_dict': {'svmoutput_data': np.float16}}]
    check_consistency(sym, ctx_list)

开发者ID:ChisBread，项目名称:mxnet，代码行数:9，代码来源:test_operator_gpu.py

示例13: test_embedding_with_type

def test_embedding_with_type():
    sym = mx.sym.Embedding(name='embedding', input_dim=10, output_dim=20)
    ctx_list = [{'ctx': mx.gpu(0), 'embedding_data': (2, 10), 'type_dict': {'embedding_data': np.float64}},
                {'ctx': mx.gpu(0), 'embedding_data': (2, 10), 'type_dict': {'embedding_data': np.float32}},
                {'ctx': mx.gpu(0), 'embedding_data': (2, 10), 'type_dict': {'embedding_data': np.float16}},
                {'ctx': mx.cpu(0), 'embedding_data': (2, 10), 'type_dict': {'embedding_data': np.float64}},
                {'ctx': mx.cpu(0), 'embedding_data': (2, 10), 'type_dict': {'embedding_data': np.float32}},
                {'ctx': mx.cpu(0), 'embedding_data': (2, 10), 'type_dict': {'embedding_data': np.float16}}]
    check_consistency(sym, ctx_list, grad_req={'embedding_data': 'null','embedding_weight': 'write'})

开发者ID:sxjscience，项目名称:mxnet，代码行数:9，代码来源:test_operator_gpu.py