diff --git a/.doctrees/docs/functional/ivy/ivy.functional.ivy.meta.doctree b/.doctrees/docs/functional/ivy/ivy.functional.ivy.meta.doctree index 05f2cecb..8064d528 100644 Binary files a/.doctrees/docs/functional/ivy/ivy.functional.ivy.meta.doctree and b/.doctrees/docs/functional/ivy/ivy.functional.ivy.meta.doctree differ diff --git a/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.doctree b/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.doctree index 8d28cb5c..9ad7bf61 100644 Binary files a/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.doctree and b/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.doctree differ diff --git a/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.doctree b/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.doctree index 9ba53ea3..a5d42122 100644 Binary files a/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.doctree and b/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.doctree differ diff --git a/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.doctree b/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.doctree index c4923839..1a5b15a3 100644 Binary files a/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.doctree and b/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.doctree differ diff --git a/.doctrees/docs/helpers/ivy_tests.test_ivy.helpers.globals.doctree b/.doctrees/docs/helpers/ivy_tests.test_ivy.helpers.globals.doctree index 723635f0..771c4d7d 100644 Binary files a/.doctrees/docs/helpers/ivy_tests.test_ivy.helpers.globals.doctree and b/.doctrees/docs/helpers/ivy_tests.test_ivy.helpers.globals.doctree differ diff --git a/.doctrees/docs/stateful/ivy.stateful.layers.doctree b/.doctrees/docs/stateful/ivy.stateful.layers.doctree index 582a955c..b1fffaf0 100644 Binary files a/.doctrees/docs/stateful/ivy.stateful.layers.doctree and b/.doctrees/docs/stateful/ivy.stateful.layers.doctree differ diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle index dc49e00f..569045db 100644 Binary files a/.doctrees/environment.pickle and b/.doctrees/environment.pickle differ diff --git a/.doctrees/index.doctree b/.doctrees/index.doctree index ab5ccde3..d8621f83 100644 Binary files a/.doctrees/index.doctree and b/.doctrees/index.doctree differ diff --git a/docs/functional/ivy/ivy.functional.ivy.meta.html b/docs/functional/ivy/ivy.functional.ivy.meta.html index 018ba99a..7cdb97c1 100644 --- a/docs/functional/ivy/ivy.functional.ivy.meta.html +++ b/docs/functional/ivy/ivy.functional.ivy.meta.html @@ -1422,7 +1422,7 @@
variables (Container
) – Variables to be optimized during the meta step
inner_grad_steps (int
) – Number of gradient steps to perform during the inner loop.
inner_learning_rate (float
) – The learning rate of the inner loop.
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f1e74f912d0>
) – The function used for the inner loop optimization.
+
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f302ad552d0>
) – The function used for the inner loop optimization.
Default is ivy.gradient_descent_update.
inner_batch_fn (Optional
[Callable
], default: None
) – Function to apply to the task sub-batch, before passing to the inner_cost_fn.
Default is None
.
variables (Container
) – Variables to be optimized during the meta step
inner_grad_steps (int
) – Number of gradient steps to perform during the inner loop.
inner_learning_rate (float
) – The learning rate of the inner loop.
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f1e74f912d0>
) – The function used for the inner loop optimization.
+
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f302ad552d0>
) – The function used for the inner loop optimization.
Default is ivy.gradient_descent_update.
inner_batch_fn (Optional
[Callable
], default: None
) – Function to apply to the task sub-batch, before passing to the inner_cost_fn.
Default is None
.
variables (Container
) – Variables to be optimized.
inner_grad_steps (int
) – Number of gradient steps to perform during the inner loop.
inner_learning_rate (float
) – The learning rate of the inner loop.
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f1e74f912d0>
) – The function used for the inner loop optimization. It takes the learnable
+
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f302ad552d0>
) – The function used for the inner loop optimization. It takes the learnable
weights,the derivative of the cost with respect to the weights, and the learning
rate as arguments, and returns the updated variables.
Default is gradient_descent_update.
Container
) – Variables to be optimized during the meta step
inner_grad_steps (int
) – Number of gradient steps to perform during the inner loop.
inner_learning_rate (float
) – The learning rate of the inner loop.
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f1e74f912d0>
) – The function used for the inner loop optimization.
+
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f302ad552d0>
) – The function used for the inner loop optimization.
Default is ivy.gradient_descent_update.
inner_batch_fn (Optional
[Callable
], default: None
) – Function to apply to the task sub-batch, before passing to the inner_cost_fn.
Default is None
.
Container
) – Variables to be optimized during the meta step
inner_grad_steps (int
) – Number of gradient steps to perform during the inner loop.
inner_learning_rate (float
) – The learning rate of the inner loop.
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f1e74f912d0>
) – The function used for the inner loop optimization.
+
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f302ad552d0>
) – The function used for the inner loop optimization.
Default is ivy.gradient_descent_update.
inner_batch_fn (Optional
[Callable
], default: None
) – Function to apply to the task sub-batch, before passing to the inner_cost_fn.
Default is None
.
Container
) – Variables to be optimized.
inner_grad_steps (int
) – Number of gradient steps to perform during the inner loop.
inner_learning_rate (float
) – The learning rate of the inner loop.
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f1e74f912d0>
) – The function used for the inner loop optimization. It takes the learnable
+
inner_optimization_step (Callable
, default: <function gradient_descent_update at 0x7f302ad552d0>
) – The function used for the inner loop optimization. It takes the learnable
weights,the derivative of the cost with respect to the weights, and the learning
rate as arguments, and returns the updated variables.
Default is gradient_descent_update.
Should not be used inside any of the test functions.
strides – The stride of the sliding window for each dimension of input.
padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca4d90>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f1e74ca4f70>
) – Initializer for the bias. Default is Zeros.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a971990>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f302a971930>
) – Initializer for the bias. Default is Zeros.
with_bias (default: True
) – Whether or not to include a bias term, default is True
.
data_format (default: 'NWC'
) – NWC” or “NCW”. Defaults to “NWC”.
dilations (default: 1
) – The dilation factor for each dimension of input. (Default value = 1)
strides – The stride of the sliding window for each dimension of input.
padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca4fd0>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f1e74ca5030>
) – Initializer for the bias. Default is Zeros.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a9718d0>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f302a971870>
) – Initializer for the bias. Default is Zeros.
with_bias (default: True
) – Whether or not to include a bias term, default is True
.
output_shape (default: None
) – Shape of the output (Default value = None)
data_format (default: 'NWC'
) – NWC” or “NCW”. Defaults to “NWC”.
strides – The stride of the sliding window for each dimension of input.
padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca5390>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f1e74ca53f0>
) – Initializer for the bias. Default is Zeros.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a971810>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f302a9717b0>
) – Initializer for the bias. Default is Zeros.
with_bias (default: True
) – Whether or not to include a bias term, default is True
.
data_format (default: 'NHWC'
) – NHWC” or “NCHW”. Defaults to “NHWC”.
dilations (default: 1
) – The dilation factor for each dimension of input. (Default value = 1)
strides – The stride of the sliding window for each dimension of input.
padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca5450>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f1e74ca54b0>
) – Initializer for the bias. Default is Zeros.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a971750>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f302a9716f0>
) – Initializer for the bias. Default is Zeros.
with_bias (default: True
) – Whether or not to include a bias term, default is True
.
output_shape (default: None
) – Shape of the output (Default value = None)
data_format (default: 'NHWC'
) – NHWC” or “NCHW”. Defaults to “NHWC”.
strides – The stride of the sliding window for each dimension of input.
padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca6a10>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f1e74ca5d50>
) – Initializer for the bias. Default is Zeros.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a9715d0>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f302a971570>
) – Initializer for the bias. Default is Zeros.
with_bias (default: True
) – Whether or not to include a bias term, default is True
.
data_format (default: 'NDHWC'
) – NDHWC” or “NCDHW”. Defaults to “NDHWC”.
dilations (default: 1
) – The dilation factor for each dimension of input. (Default value = 1)
strides – The stride of the sliding window for each dimension of input.
padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca5cf0>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f1e74ca5c90>
) – Initializer for the bias. Default is Zeros.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a971510>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f302a9714b0>
) – Initializer for the bias. Default is Zeros.
with_bias (default: True
) – Whether or not to include a bias term, default is True
.
output_shape (default: None
) – Shape of the output (Default value = None)
data_format (default: 'NDHWC'
) – NDHWC” or “NCDHW”. Defaults to “NDHWC”.
strides – The stride of the sliding window for each dimension of input.
padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca5510>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f1e74ca69b0>
) – Initializer for the bias. Default is Zeros.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a971690>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f302a971630>
) – Initializer for the bias. Default is Zeros.
with_bias (default: True
) – Whether or not to include a bias term, default is True
.
data_format (default: 'NHWC'
) – NHWC” or “NCHW”. Defaults to “NHWC”.
dilations (default: 1
) – The dilation factor for each dimension of input. (Default value = 1)
input_channels – Number of input channels for the layer
output_channels – Number of output channels for the layer
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca5c30>
) – Initializer for the weights. Default is GlorotUniform.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a971450>
) – Initializer for the weights. Default is GlorotUniform.
num_layers (default: 1
) – Number of lstm cells in the lstm layer, default is 1
.
return_sequence (default: True
) – Whether or not to return the entire output sequence, or
just the latest timestep.
@@ -2010,8 +2010,8 @@
input_channels – Number of input channels for the layer.
output_channels – Number of output channels for the layer.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f1e74ca4be0>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f1e74ca4c70>
) – Initializer for the bias. Default is Zeros.
weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f302a971a50>
) – Initializer for the weights. Default is GlorotUniform.
bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f302a9719f0>
) – Initializer for the bias. Default is Zeros.
with_bias (default: True
) – Whether or not to include a bias term, default is True
.
device (default: None
) – device on which to create the layer’s variables ‘cuda:0’, ‘cuda:1’, ‘cpu’
etc. Default is cpu.
ivy.trace_graph()
", "ivy.transpile()
", "ivy.unify()
", "Related Work", "API Standards", "Compiler Infrastructure", "Exchange Formats", "Frameworks", "Graph Tracers", "ML-Unifying Companies", "Multi-Vendor Compiler Frameworks", "Vendor-Specific APIs", "Vendor-Specific Compilers", "What does Ivy Add?", "Wrapper Frameworks", "Contributor Leaderboard"], "terms": {"thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 21, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 44, 46, 47, 49, 52, 54, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 101, 103, 104, 111, 112, 113, 114, 115, 116, 117, 118, 119, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 154, 155, 156, 166, 169, 172, 173, 174, 176, 180, 181, 195, 198, 208, 214, 215, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 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47, 48, 49, 814, 816, 819, 821, 822, 825, 828, 830, 836, 837, 846, 858], "clone": [2, 4, 8, 12, 32, 46, 48, 49, 814, 816, 822, 836, 858], "http": [2, 4, 5, 6, 7, 8, 11, 12, 13, 14, 19, 27, 28, 29, 30, 32, 33, 46, 47, 48, 49, 50, 51, 57, 58, 80, 81, 83, 148, 156, 244, 254, 255, 270, 329, 336, 337, 370, 373, 376, 379, 388, 420, 493, 523, 616, 617, 630, 631, 633, 636, 638, 640, 648, 686, 687, 715, 765, 814, 816, 821, 822, 825, 828, 830, 831, 834, 836, 858, 866], "github": [2, 4, 5, 8, 11, 12, 14, 32, 46, 47, 48, 49, 50, 814, 816, 817, 819, 822, 823, 825, 828, 830, 831, 833, 834, 836, 837, 845, 846, 858, 861, 880], "com": [2, 4, 5, 6, 7, 8, 11, 12, 14, 19, 32, 46, 47, 48, 49, 50, 814, 816, 821, 822, 825, 828, 830, 831, 836, 858], "unifyai": [2, 4, 8, 12, 32, 46, 47, 48, 49, 50, 814, 816, 821, 822, 828, 836, 858], "model": [2, 3, 4, 9, 15, 16, 21, 22, 23, 49, 51, 241, 274, 378, 454, 633, 790, 794, 795, 812, 854, 855, 859, 865, 866, 870, 871, 872, 873, 874, 875, 876, 878, 879], "depth": [2, 4, 6, 8, 12, 47, 54, 58, 62, 77, 81, 85, 142, 376, 379, 412, 472, 546, 558, 630, 635, 637, 655, 656, 822, 830, 854, 855, 856, 858], "repositori": [2, 4, 8, 12, 816, 820, 821, 822, 824, 825, 828, 836, 845, 863], "cd": [2, 4, 8, 12, 32, 49, 814, 816, 821, 822, 836, 858], "resnet": [3, 6, 14, 21, 32, 865, 866], "imag": [3, 4, 6, 7, 11, 14, 17, 21, 29, 32, 33, 46, 47, 48, 49, 50, 51, 58, 62, 80, 81, 85, 103, 221, 222, 223, 224, 227, 230, 239, 242, 244, 246, 255, 256, 257, 262, 264, 277, 284, 285, 287, 288, 292, 376, 395, 396, 412, 413, 414, 416, 546, 633, 635, 637, 650, 651, 652, 653, 654, 657, 658, 659, 793, 814, 821, 836, 849, 851, 852, 854, 856, 858, 865, 866, 872], "classif": [3, 4, 12, 15, 21, 46, 872], "acceler": [3, 21, 831, 843, 870, 874, 875, 876, 877], "convert": [3, 8, 9, 11, 14, 15, 17, 19, 21, 22, 24, 26, 29, 30, 32, 33, 34, 36, 38, 46, 49, 51, 53, 54, 57, 75, 76, 77, 80, 98, 128, 129, 141, 151, 152, 194, 195, 196, 197, 208, 216, 220, 240, 280, 379, 384, 463, 464, 465, 514, 579, 597, 599, 600, 601, 603, 630, 631, 632, 633, 635, 638, 642, 696, 720, 731, 732, 774, 802, 807, 820, 826, 827, 840, 841, 843, 846, 848, 851, 857, 859, 863, 866, 870, 871, 878], "faster": [3, 4, 9, 11, 14, 15, 21, 32, 33, 49, 51, 58, 63, 81, 86, 377, 450, 638, 688, 816, 819, 828, 859, 874, 877], "infer": [3, 6, 7, 9, 11, 13, 14, 15, 21, 25, 35, 37, 38, 47, 49, 51, 54, 58, 59, 62, 65, 77, 81, 82, 85, 88, 127, 129, 132, 136, 137, 141, 144, 150, 159, 160, 161, 162, 163, 313, 314, 376, 379, 383, 412, 497, 511, 557, 591, 592, 630, 631, 635, 637, 640, 660, 707, 802, 803, 824, 827, 831, 832, 846, 851, 856, 866, 870, 871, 874, 876], "mmpretrain": [3, 21], "segment": [3, 21, 58, 81, 331, 332, 333, 370, 828, 833], "unet": [3, 21], "alexnet": [3, 21], "written": [3, 4, 5, 6, 13, 21, 23, 32, 33, 46, 59, 379, 474, 821, 825, 826, 834, 837, 838, 842, 843, 847, 851, 853, 856, 857, 861, 866, 870, 872, 876, 878, 879], "xgboost": [3, 21], "paddlepaddl": [3, 21, 336, 337, 373, 821], "dinov2": [3, 7, 21], "project": [3, 12, 14, 21, 26, 27, 28, 29, 30, 32, 33, 36, 99, 637, 664, 793, 814, 816, 817, 820, 821, 822, 823, 826, 827, 828, 846, 855, 857, 861, 862, 863, 866, 868, 870, 872, 875, 879, 880], "convnext": [3, 6, 11, 13, 21], "finetun": [3, 21, 46], "video": [4, 8, 11, 12, 14, 17, 19, 23, 24, 25, 26, 27, 28, 29, 30, 33, 814, 815, 820, 821, 822, 825, 826, 827, 829, 830, 831, 832, 833, 834, 835, 837, 838, 839, 840, 841, 842, 843, 844, 846, 847, 849, 858, 870], "tutori": [4, 6, 7, 8, 11, 12, 13, 14, 17, 19, 23, 24, 25, 26, 27, 28, 29, 30, 33, 814, 822, 843, 858], "three": [4, 5, 21, 27, 37, 38, 48, 58, 140, 313, 370, 379, 465, 630, 821, 822, 829, 830, 831, 833, 843, 846, 849, 850, 851, 873, 878], "major": [4, 5, 645, 748, 831, 832, 844, 846, 857, 862, 869, 872], "ml": [4, 5, 6, 13, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 46, 48, 51, 815, 819, 843, 850, 851, 852, 854, 855, 856, 860, 862, 863, 866, 868, 869, 870, 871, 872, 875, 877, 879], "framework": [4, 5, 7, 9, 17, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 33, 34, 35, 36, 37, 39, 46, 48, 50, 53, 59, 171, 193, 203, 206, 217, 544, 560, 564, 596, 599, 631, 632, 635, 642, 721, 772, 774, 778, 785, 790, 797, 802, 803, 817, 818, 820, 821, 824, 825, 826, 827, 828, 830, 831, 832, 833, 835, 836, 838, 839, 840, 842, 843, 846, 847, 849, 850, 851, 853, 856, 857, 858, 859, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 873, 876], "sinc": [4, 8, 12, 13, 29, 30, 32, 33, 46, 48, 58, 81, 99, 373, 816, 821, 822, 825, 826, 827, 828, 829, 830, 831, 832, 835, 842, 843, 857, 862, 872, 878], "automat": [4, 8, 9, 12, 13, 30, 32, 33, 38, 820, 821, 822, 824, 827, 828, 830, 831, 837, 839, 842, 846, 849, 850, 852, 855, 856, 858, 859, 863, 872, 875, 879], "sure": [4, 8, 11, 12, 13, 14, 15, 32, 46, 817, 820, 821, 822, 825, 830, 835, 836, 843, 844, 846, 849, 858], "enabl": [4, 5, 6, 8, 11, 12, 13, 14, 15, 27, 28, 30, 47, 58, 63, 75, 86, 104, 376, 378, 399, 457, 581, 635, 638, 681, 795, 812, 814, 821, 822, 823, 826, 829, 831, 839, 840, 841, 842, 843, 846, 847, 850, 852, 854, 856, 857, 859, 862, 865, 870, 871, 872, 873, 874, 875, 878, 879], "dm": [4, 5, 8, 11, 14, 32, 33, 44, 46], "haiku": [4, 5, 8, 11, 14, 30, 32, 33, 44, 46, 50, 790, 814, 856, 863, 866, 872], "exit": [4, 8, 12, 13, 32, 33, 832], "download": [4, 6, 7, 12, 13, 17, 19, 32, 33, 47, 48, 51, 816, 821, 828, 846, 865, 866], "imagenet": [4, 6, 13, 19, 47, 49, 814], "class": [4, 6, 7, 8, 12, 13, 15, 17, 19, 23, 32, 33, 44, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 106, 107, 108, 135, 144, 150, 166, 169, 182, 184, 185, 244, 281, 339, 361, 373, 387, 388, 396, 397, 430, 529, 530, 537, 546, 550, 563, 573, 596, 630, 631, 632, 633, 635, 637, 638, 639, 642, 643, 658, 663, 667, 673, 683, 687, 688, 690, 697, 713, 720, 731, 738, 753, 760, 764, 765, 774, 775, 782, 783, 784, 785, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 801, 802, 805, 807, 812, 814, 820, 827, 828, 829, 831, 832, 833, 834, 838, 840, 841, 844, 845, 846, 849, 851, 852, 854, 855, 856, 859, 865, 866, 870, 872, 873, 879], "wget": [4, 6, 8, 12, 46, 47, 50, 821], "raw": [4, 6, 7, 8, 11, 12, 14, 29, 32, 33, 46, 49, 50, 75, 814, 834, 866, 873], "githubusercont": [4, 6, 8, 12, 46, 50], "hub": [4, 6, 8, 12, 46, 49, 51], "master": [4, 8, 12, 24, 25, 26, 34, 35, 36, 37, 38, 39, 46, 48, 49, 50, 817, 830, 872, 880], "imagenet_class": [4, 12], "categori": [4, 6, 12, 820, 825, 826, 829, 831, 835, 843, 847, 850], "strip": [4, 12, 25, 35, 862], "readlin": [4, 12, 47], "cat": [4, 7, 12, 47, 844, 849, 851, 856, 865, 866], "jpg": [4, 6, 7, 8, 11, 12, 14, 29, 32, 33, 48, 49, 814, 866], "filenam": [4, 8, 12, 13, 32, 33, 46, 48, 51, 59, 795, 801, 854], "import": [4, 6, 7, 9, 10, 11, 13, 14, 17, 19, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 46, 47, 49, 50, 51, 58, 69, 73, 77, 81, 96, 195, 196, 200, 212, 308, 388, 523, 558, 574, 632, 635, 641, 646, 717, 718, 753, 785, 802, 803, 814, 819, 820, 821, 822, 823, 825, 826, 827, 828, 829, 831, 832, 833, 834, 837, 840, 841, 842, 843, 844, 845, 846, 847, 851, 853, 854, 856, 857, 858, 862, 865, 866, 867, 868, 870, 872, 875, 876, 878], "devic": [4, 6, 7, 8, 9, 11, 12, 13, 14, 47, 48, 51, 54, 58, 67, 75, 77, 81, 90, 103, 106, 107, 108, 127, 128, 129, 131, 132, 133, 136, 137, 138, 139, 141, 142, 143, 144, 146, 147, 148, 149, 150, 194, 195, 196, 197, 198, 199, 200, 201, 202, 207, 208, 209, 210, 212, 213, 214, 215, 216, 218, 220, 313, 314, 329, 330, 370, 383, 473, 509, 510, 512, 513, 537, 551, 552, 630, 635, 644, 739, 740, 741, 742, 772, 774, 775, 790, 792, 793, 794, 795, 796, 797, 798, 799, 812, 822, 824, 827, 831, 835, 839, 840, 844, 846, 847, 849, 851, 856, 857, 858, 859, 862, 871, 872, 874, 875, 876, 877], "torchvis": [4, 6, 11, 12, 13, 46, 863], "transform": [4, 5, 6, 7, 11, 12, 13, 14, 29, 32, 33, 46, 47, 49, 58, 62, 81, 85, 376, 377, 398, 399, 404, 405, 408, 409, 410, 420, 421, 424, 441, 637, 661, 777, 780, 793, 814, 840, 846, 856, 859, 865, 866, 870, 872, 873, 874], "pil": [4, 6, 7, 8, 11, 12, 14, 29, 32, 33, 47, 48, 49, 814, 866], "time": [4, 5, 6, 7, 9, 10, 11, 13, 14, 30, 32, 33, 38, 46, 48, 49, 50, 58, 60, 63, 69, 81, 83, 92, 98, 99, 135, 342, 373, 376, 377, 379, 388, 405, 410, 422, 424, 445, 452, 485, 491, 523, 617, 622, 630, 636, 637, 638, 640, 641, 645, 646, 660, 663, 678, 713, 716, 717, 718, 745, 746, 750, 751, 793, 794, 795, 812, 820, 821, 822, 825, 827, 829, 830, 831, 833, 836, 838, 839, 840, 842, 843, 846, 847, 851, 854, 856, 857, 858, 861, 862, 863, 865, 866, 870, 872, 873, 876, 877, 878], "filterwarn": [4, 5, 13], "ignor": [4, 5, 13, 45, 53, 54, 58, 75, 81, 140, 376, 377, 379, 388, 400, 401, 402, 431, 439, 447, 487, 488, 492, 531, 630, 637, 642, 664, 730, 731, 797, 821, 828, 830, 833, 846, 857, 878], "compos": [4, 6, 7, 11, 12, 13, 32, 33, 46, 58, 81, 376, 390, 391, 392, 393, 821, 829, 843, 846, 865, 867, 872, 879], "resiz": [4, 6, 7, 8, 11, 12, 13, 46, 47, 58, 81, 376, 412, 849], "centercrop": [4, 12, 13], "224": [4, 6, 7, 12, 13, 17, 19, 32, 33, 46, 47, 49, 814, 866], "totensor": [4, 6, 7, 11, 12, 13, 46], "485": [4, 12, 13, 46], "456": [4, 12, 13, 46, 846], "406": [4, 12, 13, 46, 58, 81, 398, 541, 635], "229": [4, 12, 13, 46, 280, 633], "225": [4, 12, 13, 46, 48, 235, 633], "torch_img": [4, 8, 12], "unsqueez": [4, 8, 11, 12], "img": [4, 8, 12, 29, 32, 33, 46, 47, 48, 50, 814, 854, 866], "ipython": [4, 8, 12, 27, 28, 29, 30, 32, 33, 51], "displai": [4, 8, 12, 13, 29, 32, 33, 46, 47, 48, 50, 51, 821, 828, 830, 835, 846, 854], "end": [4, 8, 13, 46, 47, 58, 81, 127, 229, 285, 354, 373, 376, 378, 379, 424, 453, 475, 485, 487, 488, 630, 633, 808, 821, 822, 827, 830, 836, 842, 847, 849, 850, 857, 870, 875], "set_default_devic": [4, 5, 6, 8, 11, 12, 13, 14, 218, 632, 832], "ivy_model": [4, 5, 8, 12, 49], "ivy_alexnet": 4, "quick": [4, 21, 33, 822, 824, 844, 855], "trace_graph": [4, 5, 8, 12, 25, 26, 27, 28, 32, 33, 35, 36, 37, 38, 39, 40, 49, 795, 814, 851, 856, 864], "moment": [4, 58, 60, 81, 83, 377, 434, 616, 617, 622, 636, 797, 812, 820, 827, 857, 865, 866], "cost": [4, 60, 83, 616, 617, 620, 622, 623, 624, 636, 641, 716, 717, 718, 808, 831, 849, 870], "arg": [4, 6, 8, 9, 10, 11, 12, 13, 17, 19, 27, 28, 30, 32, 33, 37, 38, 39, 50, 53, 75, 97, 107, 123, 204, 214, 602, 629, 630, 632, 635, 772, 774, 789, 790, 793, 794, 795, 799, 802, 807, 812, 814, 826, 831, 832, 835, 841, 842, 843, 849, 851, 855, 865, 866, 867], "asarrai": [4, 5, 8, 11, 12, 47, 54, 58, 59, 70, 77, 81, 82, 93, 128, 386, 515, 516, 546, 557, 561, 562, 592, 593, 594, 630, 635, 637, 646, 647, 651, 751, 755, 835, 840, 843, 844], "cuda": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 23, 32, 47, 48, 51, 54, 58, 67, 77, 81, 90, 138, 139, 142, 194, 195, 196, 212, 383, 509, 510, 512, 513, 630, 632, 638, 644, 689, 739, 740, 741, 742, 792, 793, 794, 795, 796, 797, 798, 812, 851, 857, 859, 877], "output": [4, 5, 7, 8, 9, 10, 12, 13, 23, 29, 30, 32, 33, 45, 46, 47, 49, 52, 54, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 93, 94, 95, 103, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 149, 150, 153, 155, 180, 214, 215, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 319, 323, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 365, 366, 367, 368, 370, 373, 375, 376, 377, 378, 379, 382, 383, 384, 386, 388, 389, 390, 391, 392, 393, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 408, 409, 410, 412, 413, 414, 415, 418, 420, 421, 422, 424, 425, 427, 428, 429, 431, 433, 436, 437, 439, 442, 443, 444, 445, 447, 448, 451, 453, 454, 455, 456, 457, 458, 459, 460, 461, 468, 469, 470, 473, 475, 476, 477, 478, 479, 482, 483, 484, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 497, 498, 499, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 521, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 540, 541, 542, 546, 547, 548, 550, 554, 563, 570, 577, 578, 579, 603, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 630, 631, 632, 633, 635, 636, 637, 638, 639, 640, 642, 643, 644, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 667, 668, 669, 670, 671, 672, 674, 675, 676, 677, 678, 679, 681, 682, 683, 684, 685, 686, 687, 689, 690, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 710, 711, 712, 713, 715, 732, 738, 739, 740, 741, 742, 744, 745, 746, 747, 748, 749, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 772, 777, 792, 793, 807, 808, 814, 816, 821, 822, 824, 825, 826, 828, 829, 831, 832, 833, 834, 837, 838, 839, 840, 841, 842, 843, 844, 846, 847, 848, 851, 853, 855, 856, 857, 859, 865, 866, 873], "softmax": [4, 6, 7, 12, 17, 30, 32, 33, 48, 52, 62, 73, 74, 85, 378, 455, 627, 637, 664, 667, 789, 814], "pass": [4, 6, 7, 8, 11, 12, 13, 14, 15, 17, 19, 23, 30, 32, 33, 39, 45, 46, 48, 50, 51, 57, 58, 73, 75, 80, 81, 96, 104, 123, 124, 126, 158, 180, 195, 214, 229, 275, 376, 378, 379, 382, 383, 388, 422, 455, 475, 502, 504, 509, 529, 530, 563, 629, 631, 632, 633, 635, 641, 716, 717, 772, 774, 778, 785, 790, 794, 795, 797, 798, 802, 807, 812, 814, 818, 820, 822, 825, 826, 827, 829, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 849, 857, 865, 866, 867, 870], "argsort": [4, 12, 70, 93, 647, 756, 843], "descend": [4, 12, 70, 93, 638, 647, 688, 689, 754, 757], "top": [4, 12, 16, 21, 30, 32, 33, 46, 47, 58, 65, 81, 320, 370, 378, 379, 453, 495, 546, 635, 701, 821, 822, 831, 836, 843, 845, 846, 849, 854, 855, 872, 876], "logit": [4, 5, 6, 7, 8, 12, 13, 46, 47, 48, 49, 58, 64, 81, 87, 368, 383, 509, 512, 639, 697, 699, 789, 865], "gather": [4, 12, 46, 58, 59, 81, 82, 331, 332, 333, 370, 554, 556, 635, 879], "to_list": [4, 12, 59, 82, 635], "arrai": [4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 35, 37, 38, 39, 44, 45, 46, 47, 48, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 101, 104, 107, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 123, 124, 126, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 153, 154, 155, 156, 159, 160, 161, 162, 163, 164, 166, 169, 170, 172, 173, 174, 176, 178, 179, 180, 181, 187, 197, 198, 202, 207, 209, 211, 214, 215, 219, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 368, 370, 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692, 695, 748, 761, 763, 764, 765, 766, 829, 874], "world": [21, 29, 822, 874], "beginn": [21, 815, 872], "got": [21, 44, 835], "cover": [21, 32, 58, 81, 376, 413, 414, 415, 820, 825, 826, 828, 831, 833, 834, 839, 840, 846, 849, 850], "familiar": [21, 22, 23, 820, 821], "concept": [21, 22, 23], "turn": [21, 22, 25, 35, 62, 85, 98, 99, 400, 401, 402, 637, 660, 793, 821, 828, 829, 832, 833, 843, 846, 863], "unus": [21, 22, 25, 833, 842], "part": [21, 22, 25, 54, 57, 58, 80, 81, 86, 103, 113, 116, 119, 146, 147, 148, 254, 258, 281, 329, 330, 356, 370, 373, 376, 377, 379, 388, 420, 431, 485, 533, 627, 630, 633, 638, 674, 675, 774, 820, 821, 822, 823, 825, 828, 831, 837, 839, 842, 843, 846, 847, 849, 851, 852, 856, 857, 865, 866, 867, 870, 872, 877, 878, 879], "lazi": [21, 22, 25, 28, 35, 38, 39, 50], "decor": [21, 22, 27, 29, 30, 38, 50, 540, 635, 777, 779, 785, 818, 825, 826, 829, 831, 832, 836, 839, 842, 843, 844, 849], "kornia": [21, 22, 29, 32, 33, 46, 50, 814, 866], "roundup": 23, 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826], "subclass": [23, 32, 33, 840, 843, 849, 866], "dict": [23, 32, 33, 46, 50, 53, 59, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 104, 111, 112, 113, 114, 115, 116, 117, 118, 119, 124, 126, 135, 137, 142, 144, 150, 154, 156, 167, 168, 169, 173, 174, 181, 197, 200, 201, 215, 221, 222, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 252, 253, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 294, 295, 296, 297, 298, 299, 300, 303, 304, 305, 306, 307, 308, 310, 311, 312, 314, 326, 335, 336, 337, 338, 339, 341, 343, 351, 352, 358, 360, 362, 363, 364, 370, 379, 399, 400, 401, 402, 420, 453, 454, 455, 456, 457, 458, 459, 460, 463, 464, 465, 469, 470, 485, 491, 493, 494, 495, 497, 502, 504, 505, 506, 508, 510, 523, 524, 525, 526, 535, 536, 538, 539, 541, 542, 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[23, 32, 58, 81, 379, 493, 795, 812, 828], "array_mod": [23, 32, 579, 603, 635, 848], "set_array_mod": [23, 32, 603, 635, 848], "ultim": [23, 32, 865], "sigmoid": [23, 32, 33, 44, 52, 58, 74, 81, 302, 368, 383, 509, 627, 789, 851, 854, 855], "z": [23, 32, 33, 45, 46, 54, 57, 58, 59, 63, 64, 67, 69, 71, 77, 80, 81, 82, 86, 87, 88, 90, 94, 103, 104, 138, 139, 141, 142, 202, 224, 225, 229, 231, 234, 236, 241, 252, 253, 256, 257, 258, 260, 261, 266, 268, 270, 271, 272, 273, 281, 290, 301, 302, 336, 337, 339, 368, 373, 378, 388, 454, 456, 457, 458, 459, 460, 466, 470, 481, 522, 523, 526, 533, 538, 550, 553, 554, 561, 562, 578, 591, 593, 594, 602, 615, 630, 632, 633, 635, 638, 639, 640, 642, 644, 645, 646, 648, 669, 678, 683, 684, 688, 695, 697, 698, 699, 700, 722, 726, 728, 736, 740, 741, 742, 745, 750, 760, 761, 763, 764, 765, 792, 814, 827, 829, 832, 833, 851, 853, 865], "divid": [23, 28, 32, 33, 49, 57, 58, 59, 65, 75, 80, 81, 88, 103, 104, 248, 382, 455, 502, 503, 504, 507, 593, 633, 635, 640, 709, 826, 829, 833, 837, 846], "exp": [23, 32, 33, 57, 58, 80, 81, 117, 119, 246, 266, 279, 302, 368, 376, 378, 404, 409, 458, 627, 633, 638, 686, 841, 843], "entir": [23, 32, 33, 35, 48, 58, 71, 72, 75, 81, 82, 94, 95, 214, 244, 246, 286, 287, 336, 337, 373, 376, 379, 388, 400, 401, 402, 485, 526, 559, 632, 633, 648, 649, 761, 762, 763, 764, 765, 766, 767, 768, 769, 793, 808, 814, 820, 821, 822, 825, 826, 829, 831, 833, 835, 842, 843, 844, 846, 849, 851, 854, 855, 856, 857, 862, 863, 866, 872, 878, 879], "congratul": [23, 29], "independ": [23, 33, 58, 67, 81, 90, 224, 241, 274, 284, 382, 383, 507, 509, 633, 638, 644, 669, 687, 739, 814, 825, 831, 833, 840, 851, 856, 866, 870], "div": [24, 25, 26, 27, 28, 32, 33, 34, 35, 36, 37, 38, 39, 867], "sub": [24, 25, 26, 27, 28, 32, 33, 34, 35, 36, 37, 38, 39, 58, 63, 65, 75, 76, 80, 81, 82, 86, 88, 104, 273, 377, 379, 388, 431, 471, 480, 500, 529, 530, 558, 635, 638, 640, 641, 672, 692, 709, 716, 717, 718, 820, 822, 824, 829, 835, 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81, 83, 132, 137, 144, 150, 314, 318, 343, 370, 373, 616, 617, 620, 621, 622, 623, 624, 630, 636, 641, 642, 718, 720, 731, 795, 797, 798, 831, 832, 853, 855], "word": [53, 127, 379, 478, 630, 644, 742, 790, 793, 829, 842, 843, 859], "args_to_n": [53, 842], "cont_inplac": 53, "decid": [53, 75, 642, 730, 731, 820, 821, 831, 849], "args_to_new_backend": 53, "shallow": [53, 642, 726, 727, 731, 736, 737], "nativevari": 53, "mutabl": [53, 642, 720, 726, 727, 731, 736, 737, 827], "to_ivi": [53, 76, 642, 732, 842], "leaf": [53, 75, 82, 94, 104, 549, 642, 729, 730, 732, 759, 829, 839, 854], "travers": [53, 76, 642, 723, 731, 829, 831, 835, 851], "lowest": [53, 58, 67, 76, 81, 90, 388, 526, 642, 644, 731, 740, 808, 839, 857, 859, 869, 873, 877], "search": [53, 58, 76, 81, 745, 746, 785, 819, 821, 829, 833, 836, 846, 847, 861], "to_new_backend": 53, "_arraywithcr": [54, 103], "boolean": [54, 55, 57, 58, 59, 65, 68, 71, 75, 77, 78, 80, 81, 82, 88, 91, 94, 103, 104, 124, 126, 128, 129, 130, 136, 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672, 673, 674, 675, 676, 677, 679, 680, 681, 682, 684, 685, 686, 687, 688, 689, 692, 693, 779, 818, 836, 872], "diagon": [54, 58, 63, 81, 86, 99, 133, 146, 147, 148, 314, 329, 330, 370, 377, 379, 428, 431, 441, 447, 474, 630, 638, 671, 692], "triangular": [54, 58, 63, 86, 146, 147, 148, 329, 330, 370, 377, 447, 630, 638, 668, 674, 675, 681, 685], "triu": [54, 77, 630], "upper": [54, 58, 63, 67, 81, 86, 90, 133, 147, 148, 314, 330, 370, 377, 388, 447, 526, 630, 638, 644, 668, 674, 675, 685, 742, 831, 842, 846], "zeros_lik": [54, 58, 77, 153, 270, 379, 493, 616, 617, 620, 622, 623, 624, 630, 631, 633, 636, 638, 640, 685, 700, 843, 849], "data_typ": [55, 58, 78, 81, 183, 631, 828, 831, 846, 847], "_arraywithdatatyp": [55, 103], "irrespect": [55, 63, 78, 86, 153, 631, 638, 688, 829, 842, 853, 879], "promot": [55, 57, 58, 63, 78, 80, 81, 86, 93, 103, 104, 153, 156, 179, 180, 181, 187, 222, 223, 224, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 238, 239, 241, 244, 246, 248, 262, 263, 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169], "1220": [55, 169], "int16": [55, 58, 67, 71, 78, 90, 156, 160, 162, 167, 169, 176, 191, 388, 524, 525, 631, 648, 740, 758, 759, 764, 766, 777, 778, 831, 843, 846, 851], "32768": [55, 78, 169, 594, 635], "32767": [55, 78, 169], "is_bool_dtyp": [55, 78, 631], "is_float_dtyp": [55, 78, 631, 847], "is_int_dtyp": [55, 78, 631, 844, 847], "is_uint_dtyp": [55, 78, 631, 844, 847], "result_typ": [55, 78, 631, 831], "arrays_and_dtyp": [55, 78, 181, 631], "_arraywithdevic": [56, 103], "move": [56, 58, 79, 81, 148, 211, 215, 219, 329, 370, 379, 484, 630, 632, 795, 822, 832, 847], "addit": [56, 58, 59, 66, 79, 81, 82, 89, 124, 126, 215, 224, 284, 378, 382, 388, 453, 507, 522, 527, 546, 547, 548, 615, 629, 632, 633, 635, 637, 641, 643, 664, 718, 738, 793, 808, 820, 821, 822, 827, 831, 833, 834, 837, 839, 841, 842, 843, 846, 847, 849, 853, 854, 856, 865, 872, 873, 874, 878], "__dlpack__": [56, 79, 134, 215, 630, 632], "caveat": [56, 79, 215, 378, 457, 632], "portabl": [56, 79, 215, 632, 814, 870], "_arraywithelementwis": [57, 103], "ab": [57, 63, 73, 80, 96, 103, 104, 279, 335, 352, 373, 379, 492, 633, 638, 642, 679, 689, 695, 727, 730, 774, 807, 808, 818, 826, 831, 836, 840, 843, 846, 869], "absolut": [57, 58, 63, 73, 75, 80, 81, 86, 103, 221, 285, 335, 352, 355, 361, 373, 377, 378, 431, 448, 454, 456, 633, 638, 679, 680, 681, 686, 772, 774, 777, 779, 780, 815, 821], "aco": [57, 80, 633], "invers": [57, 58, 63, 80, 81, 86, 222, 223, 226, 227, 228, 229, 230, 345, 373, 376, 386, 399, 408, 410, 420, 515, 633, 638, 677, 680, 684, 799, 831], "cosin": [57, 80, 222, 223, 238, 239, 313, 316, 370, 376, 398, 408, 633, 793], "acosh": [57, 80, 167, 168, 631, 633, 818, 836], "area": [57, 58, 80, 81, 85, 223, 227, 230, 376, 412, 419, 423, 633, 817, 842, 849, 862, 868], "hyperbol": [57, 80, 223, 227, 230, 239, 287, 291, 292, 305, 309, 368, 633], "sector": [57, 80, 223, 227, 230, 633, 862], "multipli": [57, 58, 62, 71, 80, 81, 85, 98, 224, 290, 353, 376, 377, 412, 443, 444, 524, 525, 633, 637, 648, 660, 758, 764, 822, 826, 827, 829, 833], "angl": [57, 80, 229, 239, 287, 292, 351, 373, 633], "deg": [57, 80, 225, 633], "radian": [57, 58, 80, 81, 222, 225, 226, 228, 229, 238, 240, 280, 286, 291, 360, 373, 633, 834], "degre": [57, 58, 71, 80, 81, 94, 225, 240, 280, 323, 370, 379, 491, 633, 648, 765, 767, 871], "1j": [57, 80, 81, 225, 226, 238, 239, 244, 246, 258, 281, 286, 287, 291, 339, 593, 633, 635], "2j": [57, 58, 80, 81, 225, 254, 339, 376, 404, 409, 594, 633, 635], "3j": [57, 58, 80, 81, 225, 258, 281, 339, 373, 633], "35619449": [57, 225, 633], "78539816": [57, 225, 633], "135": [57, 225, 541, 633, 635], "asin": [57, 80, 633], "sine": [57, 80, 226, 227, 286, 287, 633], "927": [57, 80, 226], "asinh": [57, 80, 226, 633], "atan": [57, 80, 633], "tangent": [57, 80, 228, 229, 230, 291, 292, 305, 309, 366, 368, 375, 633, 834], "785": [57, 80, 228, 229, 633], "atan2": [57, 80, 633], "quotient": [57, 80, 229, 241, 248, 633], "588": [57, 229, 633], "inf": [57, 58, 59, 63, 80, 81, 82, 86, 229, 246, 255, 256, 257, 258, 262, 263, 265, 275, 301, 345, 355, 368, 373, 377, 388, 427, 526, 559, 614, 628, 633, 635, 637, 638, 665, 679, 695, 777, 780, 818, 831, 836, 841], "719": [57, 229, 633], "atanh": [57, 80, 633], "549": [57, 80, 85, 230, 633, 637, 661], "bitwise_and": [57, 80, 633], "bitwise_invert": [57, 80, 633], "bitiwse_invert": [57, 232], "bitwise_left_shift": [57, 80, 633], "bitwise_or": [57, 80, 633], "bitwise_right_shift": [57, 80, 103, 633], "bitwise_xor": [57, 80, 103, 633], "ceil": [57, 58, 80, 81, 98, 101, 127, 376, 395, 396, 397, 413, 414, 415, 418, 630, 633, 793, 842], "416": [57, 238, 633], "540": [57, 238], "990": [57, 238], "cosh": [57, 80, 238, 633], "deg2rad": [57, 80, 633], "180": [57, 80, 240, 280, 633], "270": [57, 80, 240, 280, 633], "360": [57, 80, 240, 280, 633, 830], "dividend": [57, 80, 241, 248, 283, 295, 633], "divisor": [57, 58, 60, 71, 80, 81, 83, 94, 241, 248, 251, 252, 283, 295, 376, 379, 395, 396, 397, 471, 480, 500, 616, 617, 622, 633, 636, 648, 765, 767, 793, 797], "375": [57, 242, 277], "erf": [57, 80, 344, 373, 633], "exponenti": [57, 58, 80, 81, 243, 244, 246, 266, 279, 296, 306, 368, 377, 442, 633], "gauss": [57, 80, 243, 633], "328": [57, 243, 291, 633], "677": [57, 243], "842": [57, 243, 291, 633], "71828198": [57, 80, 244], "38905573": [57, 80, 244], "08553696": [57, 80, 244, 633], "exp2": [57, 80, 633], "expm1": [57, 80, 633, 831], "918": [57, 246], "147": [57, 246, 633], "floor": [57, 58, 80, 81, 98, 101, 235, 248, 376, 395, 396, 397, 399, 413, 414, 415, 418, 633, 793, 842], "floor_divid": [57, 80, 633, 785, 831], "fmin": [57, 80, 633, 831], "gcd": [57, 80, 633, 831], "greater": [57, 58, 62, 65, 67, 80, 81, 85, 90, 103, 104, 135, 222, 223, 226, 227, 229, 230, 233, 235, 241, 247, 248, 262, 264, 279, 283, 285, 287, 288, 292, 293, 294, 338, 373, 376, 399, 404, 409, 420, 630, 633, 637, 638, 640, 644, 667, 669, 680, 710, 742, 779, 793, 822, 823, 844, 869], "greater_equ": [57, 80, 103, 104, 266, 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717, 718, 774, 777, 778, 814, 831, 833, 844, 846, 847, 866, 867], "def": [0, 4, 8, 11, 13, 14, 15, 17, 19, 23, 24, 25, 26, 27, 28, 32, 33, 34, 35, 36, 37, 38, 39, 44, 45, 46, 47, 48, 50, 57, 80, 123, 225, 540, 629, 635, 641, 642, 717, 718, 725, 807, 814, 818, 820, 821, 825, 826, 829, 831, 832, 833, 835, 836, 838, 839, 841, 842, 843, 844, 846, 847, 849, 851, 853, 854, 855, 856, 865, 866, 867], "isinst": [0, 8, 15, 30, 32, 33, 835, 843, 846, 847, 855, 856], "rang": [0, 4, 6, 7, 9, 10, 13, 15, 32, 33, 44, 45, 46, 48, 54, 58, 71, 77, 81, 127, 138, 139, 288, 300, 308, 320, 368, 370, 377, 379, 388, 431, 443, 478, 486, 488, 493, 498, 524, 525, 526, 546, 615, 630, 633, 635, 646, 648, 750, 758, 759, 764, 766, 777, 779, 780, 792, 814, 817, 820, 831, 835, 839, 846, 851, 854, 855, 856, 872, 878], "len": [0, 6, 7, 8, 13, 15, 46, 48, 54, 58, 63, 81, 86, 140, 317, 326, 327, 370, 376, 377, 388, 410, 421, 433, 436, 446, 452, 533, 630, 638, 674, 693, 829, 830, 835, 842, 843, 846, 853, 856, 865], 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523, 524, 525, 526, 535, 538, 539, 541, 542, 546, 547, 548, 549, 550, 553, 554, 557, 559, 561, 562, 563, 565, 566, 569, 577, 578, 592, 593, 594, 596, 598, 600, 601, 614, 620, 625, 642, 651, 652, 653, 654, 660, 661, 667, 668, 669, 674, 675, 676, 677, 678, 679, 681, 683, 685, 686, 692, 697, 698, 699, 700, 704, 707, 708, 709, 710, 711, 714, 715, 732, 739, 740, 741, 742, 744, 747, 750, 751, 752, 753, 754, 758, 759, 762, 764, 765, 767, 768, 769, 778, 807, 828, 839, 846], "colab": [2, 5, 13, 14, 15, 17, 19, 23, 24, 25, 26, 27, 28, 29, 30, 33, 46, 48, 50, 51], "manual": [2, 6, 7, 13, 14, 15, 17, 19, 23, 24, 25, 26, 27, 28, 29, 30, 33, 642, 719, 729, 730, 820, 821, 822, 831, 837, 846, 855, 858], "mind": [2, 17, 19, 23, 29, 32, 36, 820, 821, 826, 829, 846, 858, 866], "click": [2, 4, 48, 820, 821, 822, 830, 834, 836, 837, 852], "runtim": [2, 4, 5, 8, 11, 12, 13, 14, 25, 32, 35, 46, 47, 824, 839, 846, 849, 872], "restart": [2, 4, 5, 8, 12, 13, 46, 47, 821, 836], "git": [2, 4, 5, 8, 12, 32, 46, 47, 48, 49, 814, 816, 819, 821, 822, 825, 828, 830, 836, 837, 846, 858], "clone": [2, 4, 8, 12, 32, 46, 48, 49, 814, 816, 822, 836, 858], "http": [2, 4, 5, 6, 7, 8, 11, 12, 13, 14, 19, 27, 28, 29, 30, 32, 33, 46, 47, 48, 49, 50, 51, 57, 58, 80, 81, 83, 148, 156, 244, 254, 255, 270, 329, 336, 337, 370, 373, 376, 379, 388, 420, 493, 523, 616, 617, 630, 631, 633, 636, 638, 640, 648, 686, 687, 715, 765, 814, 816, 821, 822, 825, 828, 830, 831, 834, 836, 858, 866], "github": [2, 4, 5, 8, 11, 12, 14, 32, 46, 47, 48, 49, 50, 814, 816, 817, 819, 822, 823, 825, 828, 830, 831, 833, 834, 836, 837, 845, 846, 858, 861, 880], "com": [2, 4, 5, 6, 7, 8, 11, 12, 14, 19, 32, 46, 47, 48, 49, 50, 814, 816, 821, 822, 825, 828, 830, 831, 836, 858], "unifyai": [2, 4, 8, 12, 32, 46, 47, 48, 49, 50, 814, 816, 821, 822, 828, 836, 858], "model": [2, 3, 4, 9, 15, 16, 21, 22, 23, 49, 51, 241, 274, 378, 454, 633, 790, 794, 795, 812, 854, 855, 859, 865, 866, 870, 871, 872, 873, 874, 875, 876, 878, 879], "depth": [2, 4, 6, 8, 12, 47, 54, 58, 62, 77, 81, 85, 142, 376, 379, 412, 472, 546, 558, 630, 635, 637, 655, 656, 822, 830, 854, 855, 856, 858], "repositori": [2, 4, 8, 12, 816, 820, 821, 822, 824, 825, 828, 836, 845, 863], "cd": [2, 4, 8, 12, 32, 49, 814, 816, 821, 822, 836, 858], "resnet": [3, 6, 14, 21, 32, 865, 866], "imag": [3, 4, 6, 7, 11, 14, 17, 21, 29, 32, 33, 46, 47, 48, 49, 50, 51, 58, 62, 80, 81, 85, 103, 221, 222, 223, 224, 227, 230, 239, 242, 244, 246, 255, 256, 257, 262, 264, 277, 284, 285, 287, 288, 292, 376, 395, 396, 412, 413, 414, 416, 546, 633, 635, 637, 650, 651, 652, 653, 654, 657, 658, 659, 793, 814, 821, 836, 849, 851, 852, 854, 856, 858, 865, 866, 872], "classif": [3, 4, 12, 15, 21, 46, 872], "acceler": [3, 21, 831, 843, 870, 874, 875, 876, 877], "convert": [3, 8, 9, 11, 14, 15, 17, 19, 21, 22, 24, 26, 29, 30, 32, 33, 34, 36, 38, 46, 49, 51, 53, 54, 57, 75, 76, 77, 80, 98, 128, 129, 141, 151, 152, 194, 195, 196, 197, 208, 216, 220, 240, 280, 379, 384, 463, 464, 465, 514, 579, 597, 599, 600, 601, 603, 630, 631, 632, 633, 635, 638, 642, 696, 720, 731, 732, 774, 802, 807, 820, 826, 827, 840, 841, 843, 846, 848, 851, 857, 859, 863, 866, 870, 871, 878], "faster": [3, 4, 9, 11, 14, 15, 21, 32, 33, 49, 51, 58, 63, 81, 86, 377, 450, 638, 688, 816, 819, 828, 859, 874, 877], "infer": [3, 6, 7, 9, 11, 13, 14, 15, 21, 25, 35, 37, 38, 47, 49, 51, 54, 58, 59, 62, 65, 77, 81, 82, 85, 88, 127, 129, 132, 136, 137, 141, 144, 150, 159, 160, 161, 162, 163, 313, 314, 376, 379, 383, 412, 497, 511, 557, 591, 592, 630, 631, 635, 637, 640, 660, 707, 802, 803, 824, 827, 831, 832, 846, 851, 856, 866, 870, 871, 874, 876], "mmpretrain": [3, 21], "segment": [3, 21, 58, 81, 331, 332, 333, 370, 828, 833], "unet": [3, 21], "alexnet": [3, 21], "written": [3, 4, 5, 6, 13, 21, 23, 32, 33, 46, 59, 379, 474, 821, 825, 826, 834, 837, 838, 842, 843, 847, 851, 853, 856, 857, 861, 866, 870, 872, 876, 878, 879], "xgboost": [3, 21], "paddlepaddl": [3, 21, 336, 337, 373, 821], "dinov2": [3, 7, 21], "project": [3, 12, 14, 21, 26, 27, 28, 29, 30, 32, 33, 36, 99, 637, 664, 793, 814, 816, 817, 820, 821, 822, 823, 826, 827, 828, 846, 855, 857, 861, 862, 863, 866, 868, 870, 872, 875, 879, 880], "convnext": [3, 6, 11, 13, 21], "finetun": [3, 21, 46], "video": [4, 8, 11, 12, 14, 17, 19, 23, 24, 25, 26, 27, 28, 29, 30, 33, 814, 815, 820, 821, 822, 825, 826, 827, 829, 830, 831, 832, 833, 834, 835, 837, 838, 839, 840, 841, 842, 843, 844, 846, 847, 849, 858, 870], "tutori": [4, 6, 7, 8, 11, 12, 13, 14, 17, 19, 23, 24, 25, 26, 27, 28, 29, 30, 33, 814, 822, 843, 858], "three": [4, 5, 21, 27, 37, 38, 48, 58, 140, 313, 370, 379, 465, 630, 821, 822, 829, 830, 831, 833, 843, 846, 849, 850, 851, 873, 878], "major": [4, 5, 645, 748, 831, 832, 844, 846, 857, 862, 869, 872], "ml": [4, 5, 6, 13, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 46, 48, 51, 815, 819, 843, 850, 851, 852, 854, 855, 856, 860, 862, 863, 866, 868, 869, 870, 871, 872, 875, 877, 879], "framework": [4, 5, 7, 9, 17, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 33, 34, 35, 36, 37, 39, 46, 48, 50, 53, 59, 171, 193, 203, 206, 217, 544, 560, 564, 596, 599, 631, 632, 635, 642, 721, 772, 774, 778, 785, 790, 797, 802, 803, 817, 818, 820, 821, 824, 825, 826, 827, 828, 830, 831, 832, 833, 835, 836, 838, 839, 840, 842, 843, 846, 847, 849, 850, 851, 853, 856, 857, 858, 859, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 873, 876], "sinc": [4, 8, 12, 13, 29, 30, 32, 33, 46, 48, 58, 81, 99, 373, 816, 821, 822, 825, 826, 827, 828, 829, 830, 831, 832, 835, 842, 843, 857, 862, 872, 878], "automat": [4, 8, 9, 12, 13, 30, 32, 33, 38, 820, 821, 822, 824, 827, 828, 830, 831, 837, 839, 842, 846, 849, 850, 852, 855, 856, 858, 859, 863, 872, 875, 879], "sure": [4, 8, 11, 12, 13, 14, 15, 32, 46, 817, 820, 821, 822, 825, 830, 835, 836, 843, 844, 846, 849, 858], "enabl": [4, 5, 6, 8, 11, 12, 13, 14, 15, 27, 28, 30, 47, 58, 63, 75, 86, 104, 376, 378, 399, 457, 581, 635, 638, 681, 795, 812, 814, 821, 822, 823, 826, 829, 831, 839, 840, 841, 842, 843, 846, 847, 850, 852, 854, 856, 857, 859, 862, 865, 870, 871, 872, 873, 874, 875, 878, 879], "dm": [4, 5, 8, 11, 14, 32, 33, 44, 46], "haiku": [4, 5, 8, 11, 14, 30, 32, 33, 44, 46, 50, 790, 814, 856, 863, 866, 872], "exit": [4, 8, 12, 13, 32, 33, 832], "download": [4, 6, 7, 12, 13, 17, 19, 32, 33, 47, 48, 51, 816, 821, 828, 846, 865, 866], "imagenet": [4, 6, 13, 19, 47, 49, 814], "class": [4, 6, 7, 8, 12, 13, 15, 17, 19, 23, 32, 33, 44, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 106, 107, 108, 135, 144, 150, 166, 169, 182, 184, 185, 244, 281, 339, 361, 373, 387, 388, 396, 397, 430, 529, 530, 537, 546, 550, 563, 573, 596, 630, 631, 632, 633, 635, 637, 638, 639, 642, 643, 658, 663, 667, 673, 683, 687, 688, 690, 697, 713, 720, 731, 738, 753, 760, 764, 765, 774, 775, 782, 783, 784, 785, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 801, 802, 805, 807, 812, 814, 820, 827, 828, 829, 831, 832, 833, 834, 838, 840, 841, 844, 845, 846, 849, 851, 852, 854, 855, 856, 859, 865, 866, 870, 872, 873, 879], "wget": [4, 6, 8, 12, 46, 47, 50, 821], "raw": [4, 6, 7, 8, 11, 12, 14, 29, 32, 33, 46, 49, 50, 75, 814, 834, 866, 873], "githubusercont": [4, 6, 8, 12, 46, 50], "hub": [4, 6, 8, 12, 46, 49, 51], "master": [4, 8, 12, 24, 25, 26, 34, 35, 36, 37, 38, 39, 46, 48, 49, 50, 817, 830, 872, 880], "imagenet_class": [4, 12], "categori": [4, 6, 12, 820, 825, 826, 829, 831, 835, 843, 847, 850], "strip": [4, 12, 25, 35, 862], "readlin": [4, 12, 47], "cat": [4, 7, 12, 47, 844, 849, 851, 856, 865, 866], "jpg": [4, 6, 7, 8, 11, 12, 14, 29, 32, 33, 48, 49, 814, 866], "filenam": [4, 8, 12, 13, 32, 33, 46, 48, 51, 59, 795, 801, 854], "import": [4, 6, 7, 9, 10, 11, 13, 14, 17, 19, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 46, 47, 49, 50, 51, 58, 69, 73, 77, 81, 96, 195, 196, 200, 212, 308, 388, 523, 558, 574, 632, 635, 641, 646, 717, 718, 753, 785, 802, 803, 814, 819, 820, 821, 822, 823, 825, 826, 827, 828, 829, 831, 832, 833, 834, 837, 840, 841, 842, 843, 844, 845, 846, 847, 851, 853, 854, 856, 857, 858, 862, 865, 866, 867, 868, 870, 872, 875, 876, 878], "devic": [4, 6, 7, 8, 9, 11, 12, 13, 14, 47, 48, 51, 54, 58, 67, 75, 77, 81, 90, 103, 106, 107, 108, 127, 128, 129, 131, 132, 133, 136, 137, 138, 139, 141, 142, 143, 144, 146, 147, 148, 149, 150, 194, 195, 196, 197, 198, 199, 200, 201, 202, 207, 208, 209, 210, 212, 213, 214, 215, 216, 218, 220, 313, 314, 329, 330, 370, 383, 473, 509, 510, 512, 513, 537, 551, 552, 630, 635, 644, 739, 740, 741, 742, 772, 774, 775, 790, 792, 793, 794, 795, 796, 797, 798, 799, 812, 822, 824, 827, 831, 835, 839, 840, 844, 846, 847, 849, 851, 856, 857, 858, 859, 862, 871, 872, 874, 875, 876, 877], "torchvis": [4, 6, 11, 12, 13, 46, 863], "transform": [4, 5, 6, 7, 11, 12, 13, 14, 29, 32, 33, 46, 47, 49, 58, 62, 81, 85, 376, 377, 398, 399, 404, 405, 408, 409, 410, 420, 421, 424, 441, 637, 661, 777, 780, 793, 814, 840, 846, 856, 859, 865, 866, 870, 872, 873, 874], "pil": [4, 6, 7, 8, 11, 12, 14, 29, 32, 33, 47, 48, 49, 814, 866], "time": [4, 5, 6, 7, 9, 10, 11, 13, 14, 30, 32, 33, 38, 46, 48, 49, 50, 58, 60, 63, 69, 81, 83, 92, 98, 99, 135, 342, 373, 376, 377, 379, 388, 405, 410, 422, 424, 445, 452, 485, 491, 523, 617, 622, 630, 636, 637, 638, 640, 641, 645, 646, 660, 663, 678, 713, 716, 717, 718, 745, 746, 750, 751, 793, 794, 795, 812, 820, 821, 822, 825, 827, 829, 830, 831, 833, 836, 838, 839, 840, 842, 843, 846, 847, 851, 854, 856, 857, 858, 861, 862, 863, 865, 866, 870, 872, 873, 876, 877, 878], "filterwarn": [4, 5, 13], "ignor": [4, 5, 13, 45, 53, 54, 58, 75, 81, 140, 376, 377, 379, 388, 400, 401, 402, 431, 439, 447, 487, 488, 492, 531, 630, 637, 642, 664, 730, 731, 797, 821, 828, 830, 833, 846, 857, 878], "compos": [4, 6, 7, 11, 12, 13, 32, 33, 46, 58, 81, 376, 390, 391, 392, 393, 821, 829, 843, 846, 865, 867, 872, 879], "resiz": [4, 6, 7, 8, 11, 12, 13, 46, 47, 58, 81, 376, 412, 849], "centercrop": [4, 12, 13], "224": [4, 6, 7, 12, 13, 17, 19, 32, 33, 46, 47, 49, 814, 866], "totensor": [4, 6, 7, 11, 12, 13, 46], "485": [4, 12, 13, 46], "456": [4, 12, 13, 46, 846], "406": [4, 12, 13, 46, 58, 81, 398, 541, 635], "229": [4, 12, 13, 46, 280, 633], "225": [4, 12, 13, 46, 48, 235, 633], "torch_img": [4, 8, 12], "unsqueez": [4, 8, 11, 12], "img": [4, 8, 12, 29, 32, 33, 46, 47, 48, 50, 814, 854, 866], "ipython": [4, 8, 12, 27, 28, 29, 30, 32, 33, 51], "displai": [4, 8, 12, 13, 29, 32, 33, 46, 47, 48, 50, 51, 821, 828, 830, 835, 846, 854], "end": [4, 8, 13, 46, 47, 58, 81, 127, 229, 285, 354, 373, 376, 378, 379, 424, 453, 475, 485, 487, 488, 630, 633, 808, 821, 822, 827, 830, 836, 842, 847, 849, 850, 857, 870, 875], "set_default_devic": [4, 5, 6, 8, 11, 12, 13, 14, 218, 632, 832], "ivy_model": [4, 5, 8, 12, 49], "ivy_alexnet": 4, "quick": [4, 21, 33, 822, 824, 844, 855], "trace_graph": [4, 5, 8, 12, 25, 26, 27, 28, 32, 33, 35, 36, 37, 38, 39, 40, 49, 795, 814, 851, 856, 864], "moment": [4, 58, 60, 81, 83, 377, 434, 616, 617, 622, 636, 797, 812, 820, 827, 857, 865, 866], "cost": [4, 60, 83, 616, 617, 620, 622, 623, 624, 636, 641, 716, 717, 718, 808, 831, 849, 870], "arg": [4, 6, 8, 9, 10, 11, 12, 13, 17, 19, 27, 28, 30, 32, 33, 37, 38, 39, 50, 53, 75, 97, 107, 123, 204, 214, 602, 629, 630, 632, 635, 772, 774, 789, 790, 793, 794, 795, 799, 802, 807, 812, 814, 826, 831, 832, 835, 841, 842, 843, 849, 851, 855, 865, 866, 867], "asarrai": [4, 5, 8, 11, 12, 47, 54, 58, 59, 70, 77, 81, 82, 93, 128, 386, 515, 516, 546, 557, 561, 562, 592, 593, 594, 630, 635, 637, 646, 647, 651, 751, 755, 835, 840, 843, 844], "cuda": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 23, 32, 47, 48, 51, 54, 58, 67, 77, 81, 90, 138, 139, 142, 194, 195, 196, 212, 383, 509, 510, 512, 513, 630, 632, 638, 644, 689, 739, 740, 741, 742, 792, 793, 794, 795, 796, 797, 798, 812, 851, 857, 859, 877], "output": [4, 5, 7, 8, 9, 10, 12, 13, 23, 29, 30, 32, 33, 45, 46, 47, 49, 52, 54, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 93, 94, 95, 103, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 149, 150, 153, 155, 180, 214, 215, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 319, 323, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 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692, 695, 748, 761, 763, 764, 765, 766, 829, 874], "world": [21, 29, 822, 874], "beginn": [21, 815, 872], "got": [21, 44, 835], "cover": [21, 32, 58, 81, 376, 413, 414, 415, 820, 825, 826, 828, 831, 833, 834, 839, 840, 846, 849, 850], "familiar": [21, 22, 23, 820, 821], "concept": [21, 22, 23], "turn": [21, 22, 25, 35, 62, 85, 98, 99, 400, 401, 402, 637, 660, 793, 821, 828, 829, 832, 833, 843, 846, 863], "unus": [21, 22, 25, 833, 842], "part": [21, 22, 25, 54, 57, 58, 80, 81, 86, 103, 113, 116, 119, 146, 147, 148, 254, 258, 281, 329, 330, 356, 370, 373, 376, 377, 379, 388, 420, 431, 485, 533, 627, 630, 633, 638, 674, 675, 774, 820, 821, 822, 823, 825, 828, 831, 837, 839, 842, 843, 846, 847, 849, 851, 852, 856, 857, 865, 866, 867, 870, 872, 877, 878, 879], "lazi": [21, 22, 25, 28, 35, 38, 39, 50], "decor": [21, 22, 27, 29, 30, 38, 50, 540, 635, 777, 779, 785, 818, 825, 826, 829, 831, 832, 836, 839, 842, 843, 844, 849], "kornia": [21, 22, 29, 32, 33, 46, 50, 814, 866], "roundup": 23, 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633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 789, 790, 792, 793, 795, 796, 797, 798, 820, 821, 822, 825, 828, 830, 832, 836, 839, 840, 846, 850, 851, 855, 859], "likewis": [23, 28, 32, 39, 822, 829, 831, 834, 838, 839, 843, 849, 854, 865, 866, 878], "nativearrai": [23, 32, 33, 53, 54, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 69, 71, 74, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 103, 107, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 123, 124, 126, 128, 129, 130, 132, 137, 138, 139, 140, 141, 142, 144, 146, 147, 150, 153, 154, 155, 156, 159, 160, 161, 162, 163, 164, 166, 169, 172, 173, 174, 176, 178, 180, 181, 187, 197, 198, 214, 215, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 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826], "subclass": [23, 32, 33, 840, 843, 849, 866], "dict": [23, 32, 33, 46, 50, 53, 59, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 104, 111, 112, 113, 114, 115, 116, 117, 118, 119, 124, 126, 135, 137, 142, 144, 150, 154, 156, 167, 168, 169, 173, 174, 181, 197, 200, 201, 215, 221, 222, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 252, 253, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 294, 295, 296, 297, 298, 299, 300, 303, 304, 305, 306, 307, 308, 310, 311, 312, 314, 326, 335, 336, 337, 338, 339, 341, 343, 351, 352, 358, 360, 362, 363, 364, 370, 379, 399, 400, 401, 402, 420, 453, 454, 455, 456, 457, 458, 459, 460, 463, 464, 465, 469, 470, 485, 491, 493, 494, 495, 497, 502, 504, 505, 506, 508, 510, 523, 524, 525, 526, 535, 536, 538, 539, 541, 542, 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"return_backend_compiled_fn": 32, "immedi": [32, 33, 812, 814, 820, 821], "built": [32, 33, 38, 46, 48, 51, 127, 630, 793, 794, 795, 821, 822, 828, 829, 846, 852, 858, 865, 871, 872, 876], "eager_graph": [32, 33, 814, 865, 866], "lazy_graph": [32, 33, 814, 865, 866], "thought": [32, 33, 821, 822, 838, 862, 870], "matter": [32, 33, 38, 833, 861], "haven": [32, 33, 38, 858, 872], "jax_out": [32, 33], "ideal": [32, 33, 830, 831, 843, 849, 854], "worth": [32, 33], "differenti": [32, 33, 296, 366, 367, 368, 375, 872], "chosen": [32, 33, 51, 101, 127, 229, 630, 633, 645, 749, 820, 830, 843], "plai": [32, 33, 378, 457, 814, 817, 821, 823, 826, 832, 836, 843, 846, 856, 872, 875], "role": [32, 33, 814, 817, 822, 823, 832, 843, 852, 873, 875, 879], "dl": [32, 33], "effortlessli": [32, 33], "previous": [32, 33, 604, 635, 802, 820, 821, 827, 839, 841, 846, 851], "default_devic": [32, 33, 207, 210, 211, 212, 218, 219, 632, 832, 835, 836], "as_n": [32, 33, 55, 56, 75, 78, 79, 159, 160, 161, 162, 163, 164, 170, 197, 198, 631, 632, 831], "certainli": [32, 33, 862, 878], "unnecessari": [32, 33, 843], "extend": [32, 33, 58, 81, 379, 388, 485, 526, 827, 828, 831, 834, 835, 838, 843, 847, 857, 869, 872, 878], "infrastructur": [32, 33, 868, 874, 875], "least": [32, 57, 58, 63, 80, 81, 241, 259, 274, 376, 379, 388, 404, 409, 463, 464, 465, 474, 476, 523, 633, 638, 645, 678, 748, 822, 826, 830, 831, 832, 833, 839, 842, 846, 866], "coco": 32, "seamlessli": [33, 846], "therefor": [33, 38, 54, 57, 58, 63, 80, 81, 127, 128, 129, 131, 132, 133, 134, 136, 137, 138, 139, 140, 143, 144, 145, 146, 147, 148, 149, 150, 156, 172, 176, 180, 221, 222, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 235, 236, 237, 238, 239, 241, 242, 244, 246, 247, 248, 252, 253, 254, 255, 256, 257, 261, 263, 264, 265, 266, 268, 269, 270, 271, 274, 276, 277, 278, 279, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 294, 314, 329, 330, 336, 337, 339, 342, 370, 373, 376, 377, 379, 388, 395, 396, 397, 398, 400, 401, 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"randon": [34, 35, 37, 38, 39], "mean_": 34, "std_": 34, "detect": [34, 38, 57, 75, 80, 256, 633, 642, 719, 730, 820, 821, 827, 829, 830, 837, 846, 854, 855], "inspect": [34, 38, 536, 635], "__": [34, 35, 36, 37, 38, 39, 75, 833, 854], "script": [35, 814, 821, 822, 825, 830, 833, 851, 857, 872], "comp": 35, "low_level": 35, "chain": [35, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 98, 111, 112, 113, 114, 115, 116, 117, 118, 119, 135, 137, 142, 144, 150, 154, 156, 169, 173, 174, 181, 215, 221, 222, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 252, 253, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 294, 295, 296, 297, 298, 300, 304, 305, 306, 307, 308, 310, 311, 312, 314, 335, 336, 337, 339, 341, 343, 351, 352, 358, 360, 362, 363, 364, 400, 401, 402, 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214, 583, 584, 587, 593, 594, 606, 607, 610, 631, 632, 635, 785, 796, 802, 821, 826, 827, 830, 831, 832, 835, 839, 843, 851, 872], "b": [38, 52, 57, 58, 59, 62, 63, 71, 74, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 102, 103, 104, 111, 112, 113, 114, 115, 116, 117, 118, 128, 129, 130, 135, 136, 137, 139, 142, 144, 150, 153, 154, 155, 156, 164, 174, 176, 181, 198, 215, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 319, 331, 334, 335, 336, 337, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 356, 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725, 726, 727, 728, 730, 731, 736, 737, 738, 740, 741, 742, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 777, 807, 808, 812, 814, 815, 818, 822, 824, 825, 827, 829, 830, 833, 836, 839, 841, 844, 850, 851, 852, 854, 855, 856, 860, 863, 865, 868], "prioriti": [38, 75, 802, 817, 820, 822, 823, 832, 842], "normalize_via_oper": 38, "determin": [38, 57, 58, 63, 65, 69, 72, 75, 80, 81, 82, 86, 93, 95, 98, 101, 103, 104, 133, 156, 158, 165, 171, 172, 173, 174, 176, 177, 178, 193, 203, 205, 206, 217, 222, 223, 224, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 238, 239, 241, 244, 246, 248, 254, 255, 256, 257, 258, 262, 263, 264, 265, 266, 271, 274, 279, 283, 286, 287, 288, 289, 290, 291, 292, 295, 305, 309, 355, 360, 368, 373, 376, 377, 378, 379, 388, 412, 420, 431, 453, 454, 493, 497, 523, 535, 538, 559, 560, 564, 565, 566, 567, 568, 569, 596, 614, 630, 631, 632, 633, 635, 638, 640, 641, 646, 649, 668, 669, 670, 672, 676, 677, 678, 680, 681, 683, 684, 686, 687, 692, 694, 695, 701, 716, 717, 718, 750, 751, 752, 753, 754, 768, 769, 779, 785, 792, 796, 829, 831, 832, 834, 839, 843, 846, 848, 849, 861], "think": [38, 820, 822, 830, 833, 849, 873], "uniqu": [38, 48, 58, 59, 69, 81, 82, 92, 376, 377, 379, 424, 447, 484, 485, 499, 570, 635, 641, 642, 646, 716, 717, 718, 721, 725, 750, 751, 752, 753, 779, 814, 825, 829, 839, 843, 844, 845, 849, 857, 861, 875], "rule": [38, 55, 57, 58, 63, 78, 80, 81, 86, 153, 156, 179, 180, 181, 230, 241, 274, 276, 283, 285, 293, 295, 376, 379, 388, 420, 473, 523, 631, 633, 638, 640, 668, 669, 676, 680, 683, 687, 701, 779, 807, 825, 826, 829, 830, 831, 833, 837, 838, 839, 841, 846, 849, 873], "broadcast": [38, 52, 54, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 74, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 93, 94, 95, 98, 103, 104, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 142, 143, 144, 145, 146, 147, 149, 150, 153, 154, 155, 215, 221, 222, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 252, 253, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 294, 295, 296, 297, 298, 299, 300, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 330, 336, 337, 338, 339, 340, 341, 344, 345, 347, 349, 351, 353, 354, 355, 356, 360, 368, 370, 373, 376, 377, 378, 379, 382, 383, 388, 395, 396, 397, 399, 400, 401, 402, 403, 404, 405, 409, 410, 412, 413, 414, 415, 418, 420, 425, 427, 428, 436, 437, 442, 443, 445, 454, 455, 456, 457, 459, 460, 466, 470, 473, 478, 486, 487, 488, 489, 491, 493, 495, 497, 498, 502, 505, 506, 508, 509, 510, 512, 513, 523, 524, 525, 526, 529, 530, 531, 532, 533, 541, 542, 546, 547, 548, 553, 554, 563, 577, 578, 616, 617, 620, 622, 623, 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100, 101, 102, 107, 108], "_abc": [52, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 97, 98, 99, 100, 101, 102, 107, 108], "_abc_data": [52, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 97, 98, 99, 100, 101, 102, 107, 108], "approxim": [52, 57, 58, 63, 74, 80, 81, 86, 98, 101, 111, 222, 223, 226, 227, 228, 229, 238, 239, 244, 246, 248, 262, 263, 264, 265, 279, 286, 287, 291, 292, 293, 350, 360, 373, 378, 457, 458, 627, 633, 638, 681, 684, 789, 834, 843], "complex_mod": [52, 57, 58, 74, 80, 81, 111, 112, 113, 114, 115, 116, 117, 118, 119, 292, 296, 301, 302, 304, 368, 627, 633, 789, 840], "variant": [52, 54, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 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826, 833, 834, 849], "docstr": [52, 54, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 103, 111, 112, 113, 114, 115, 116, 117, 118, 119, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 149, 150, 154, 155, 156, 166, 169, 173, 174, 181, 198, 215, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 318, 319, 320, 323, 330, 332, 333, 334, 335, 336, 337, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 351, 352, 353, 354, 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81, 83, 132, 137, 144, 150, 314, 318, 343, 370, 373, 616, 617, 620, 621, 622, 623, 624, 630, 636, 641, 642, 718, 720, 731, 795, 797, 798, 831, 832, 853, 855], "word": [53, 127, 379, 478, 630, 644, 742, 790, 793, 829, 842, 843, 859], "args_to_n": [53, 842], "cont_inplac": 53, "decid": [53, 75, 642, 730, 731, 820, 821, 831, 849], "args_to_new_backend": 53, "shallow": [53, 642, 726, 727, 731, 736, 737], "nativevari": 53, "mutabl": [53, 642, 720, 726, 727, 731, 736, 737, 827], "to_ivi": [53, 76, 642, 732, 842], "leaf": [53, 75, 82, 94, 104, 549, 642, 729, 730, 732, 759, 829, 839, 854], "travers": [53, 76, 642, 723, 731, 829, 831, 835, 851], "lowest": [53, 58, 67, 76, 81, 90, 388, 526, 642, 644, 731, 740, 808, 839, 857, 859, 869, 873, 877], "search": [53, 58, 76, 81, 745, 746, 785, 819, 821, 829, 833, 836, 846, 847, 861], "to_new_backend": 53, "_arraywithcr": [54, 103], "boolean": [54, 55, 57, 58, 59, 65, 68, 71, 75, 77, 78, 80, 81, 82, 88, 91, 94, 103, 104, 124, 126, 128, 129, 130, 136, 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710, 712, 714, 794, 795, 842, 857], "nativedtyp": [54, 55, 58, 62, 63, 67, 68, 71, 77, 81, 86, 90, 91, 94, 127, 128, 129, 131, 132, 133, 135, 136, 137, 138, 139, 141, 142, 143, 144, 149, 150, 152, 153, 158, 159, 160, 161, 162, 163, 164, 165, 170, 171, 175, 177, 179, 183, 193, 313, 314, 315, 316, 317, 318, 319, 334, 341, 357, 370, 373, 383, 388, 509, 510, 511, 512, 513, 523, 524, 525, 526, 529, 532, 630, 631, 637, 638, 644, 645, 647, 648, 660, 679, 695, 740, 741, 742, 745, 746, 756, 758, 759, 762, 764, 766, 792, 831, 832, 838, 847, 851], "datatyp": [54, 58, 75, 77, 81, 129, 137, 141, 158, 179, 183, 376, 424, 630, 631, 772, 847, 865], "nativedevic": [54, 56, 58, 67, 77, 79, 81, 90, 127, 128, 129, 131, 132, 133, 136, 137, 138, 139, 141, 142, 143, 144, 148, 149, 150, 195, 196, 197, 198, 199, 202, 207, 208, 209, 210, 212, 213, 214, 215, 216, 220, 313, 314, 329, 370, 383, 509, 510, 512, 513, 630, 632, 644, 739, 740, 741, 742, 792, 797, 798, 831, 832, 835, 838, 847], "39999998": [54, 128, 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