/dports/www/grafana8/grafana-8.3.6/vendor/github.com/apache/arrow/python/pyarrow/tests/ |
H A D | test_sparse_tensor.py | 183 dtype = np.dtype(dtype_str) 216 dtype = np.dtype(dtype_str) 249 dtype = np.dtype(dtype_str) 276 dtype = np.dtype(dtype_str) 304 dtype = np.dtype(dtype_str) 325 dtype = np.dtype(dtype_str) 345 dtype = np.dtype(dtype_str) 377 dtype = np.dtype(dtype_str) 397 dtype = np.dtype(dtype_str) 420 if dtype_str == 'f2': [all …]
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H A D | test_tensor.py | 83 def test_tensor_numpy_roundtrip(dtype_str, arrow_type): argument 84 dtype = np.dtype(dtype_str)
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/dports/databases/arrow/apache-arrow-6.0.1/python/pyarrow/tests/ |
H A D | test_sparse_tensor.py | 183 dtype = np.dtype(dtype_str) 216 dtype = np.dtype(dtype_str) 249 dtype = np.dtype(dtype_str) 276 dtype = np.dtype(dtype_str) 304 dtype = np.dtype(dtype_str) 325 dtype = np.dtype(dtype_str) 345 dtype = np.dtype(dtype_str) 377 dtype = np.dtype(dtype_str) 397 dtype = np.dtype(dtype_str) 420 if dtype_str == 'f2': [all …]
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H A D | test_tensor.py | 83 def test_tensor_numpy_roundtrip(dtype_str, arrow_type): argument 84 dtype = np.dtype(dtype_str)
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/dports/security/vault/vault-1.8.2/vendor/github.com/apache/arrow/python/pyarrow/tests/ |
H A D | test_sparse_tensor.py | 176 dtype = np.dtype(dtype_str) 209 dtype = np.dtype(dtype_str) 242 dtype = np.dtype(dtype_str) 269 dtype = np.dtype(dtype_str) 297 dtype = np.dtype(dtype_str) 318 dtype = np.dtype(dtype_str) 338 dtype = np.dtype(dtype_str) 370 dtype = np.dtype(dtype_str) 390 dtype = np.dtype(dtype_str) 409 if dtype_str == 'f2': [all …]
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H A D | test_tensor.py | 77 def test_tensor_numpy_roundtrip(dtype_str, arrow_type): argument 78 dtype = np.dtype(dtype_str)
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/relay/frontend/ |
H A D | tensorflow.py | 920 dtype_str = attr.get("dtype").name 939 dtype_str = attr.get("T").name 961 "tensor_array_scatter", dtype_str, input_t_shape 967 "tensor_array_unstack", dtype_str, values_shape 978 dtype_str = attr.get("dtype").name 991 "tensor_array_gather", dtype_str, input_shape 1030 dtype_str = attr.get("T").name 1038 tensor_func = prelude.get_var(tensor_name, dtype_str) 1072 dtype_str = attr["dtype"].name 1093 dtype_str = attr.get("T").name [all …]
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/src/relay/backend/contrib/codegen_c/ |
H A D | codegen_c.h | 144 const auto& dtype_str = GetDtypeString(args[i]); in GenerateBackendCFunc() local 145 code_stream_ << "static_cast<" << dtype_str << "*>(arg" << i << "->data),\n"; in GenerateBackendCFunc() 212 const auto& dtype_str = GetDtypeString(arg); in JitImpl() local 213 code_stream_ << dtype_str << "* " << arg->name_hint() << ", "; in JitImpl()
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/dports/misc/mmdnn/MMdnn-0.3.1/mmdnn/conversion/tensorflow/ |
H A D | tensorflow_emitter.py | 170 dtype_str = "{}".format(self.dtype_map[IR_node.layer.attr['dtype'].type]) 172 dtype_str = "tf.float32" 176 dtype_str, 260 dtype_str = "{}, ".format(self.dtype_map[IR_node.layer.attr['dtype'].type]) 262 dtype_str = "tf.float32," 265 IR_node.variable_name, dtype_str, shape_str, IR_node.name 348 if 'int' in dtype_str: 352 dtype_str) 357 dtype_str) 359 dtype_str = "dtype=tf.float32" [all …]
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/dports/science/py-pydicom/pydicom-2.2.2/pydicom/pixel_data_handlers/ |
H A D | util.py | 1158 dtype_str = 'uint' 1160 dtype_str = 'int' 1168 dtype_str = 'float' 1176 dtype_str = 'uint8' 1178 dtype_str += str(bits_allocated) 1188 dtype = np.dtype(dtype_str)
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/dports/textproc/R-cran-stringi/stringi/src/ |
H A D | stri_time_zone.cpp | 175 …const char* dtype_str = stri__prepare_arg_string_1_notNA(display_type, "display_type"); /* this is… in stri_timezone_info() local 181 int dtype_cur = stri__match_arg(dtype_str, dtype_opts); in stri_timezone_info()
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/dports/misc/mmdnn/MMdnn-0.3.1/mmdnn/conversion/pytorch/ |
H A D | pytorch_emitter.py | 656 dtype_str = "dtype={}".format(self.dtype_map[IR_node.layer.attr['dtype'].type]) 657 if 'int' in dtype_str: 661 dtype_str) 666 dtype_str) 669 dtype_str = "dtype=torch.float32" 673 dtype_str)
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/dports/misc/urh/urh-2.9.2/src/urh/signalprocessing/ |
H A D | Modulator.py | 62 dtype_str = settings.read("modulation_dtype", "float32", str) 63 if dtype_str == "int8": 65 elif dtype_str == "int16":
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/dports/misc/py-tvm/incubator-tvm-0.6.1/tests/python/frontend/tensorflow/ |
H A D | test_forward.py | 697 def run(dtype_str): argument 699 dtype = tf_dtypes[dtype_str] 713 def run(dtype_str): argument 715 dtype = tf_dtypes[dtype_str] 746 def run(dtype_str): argument 748 dtype = tf_dtypes[dtype_str] 768 def run(dtype_str): argument 770 dtype = tf_dtypes[dtype_str] 784 def run(dtype_str): argument 795 def run(dtype_str, input_shape): argument [all …]
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/dports/misc/tvm/incubator-tvm-0.6.1/tests/python/frontend/tensorflow/ |
H A D | test_forward.py | 697 def run(dtype_str): argument 699 dtype = tf_dtypes[dtype_str] 713 def run(dtype_str): argument 715 dtype = tf_dtypes[dtype_str] 746 def run(dtype_str): argument 748 dtype = tf_dtypes[dtype_str] 768 def run(dtype_str): argument 770 dtype = tf_dtypes[dtype_str] 784 def run(dtype_str): argument 795 def run(dtype_str, input_shape): argument [all …]
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/frontend/tensorflow/ |
H A D | test_forward.py | 1283 dtype = tf_dtypes[dtype_str] 1304 def run(dtype_str, infer_shape): argument 1306 dtype = tf_dtypes[dtype_str] 1331 def run(dtype_str, infer_shape): argument 1333 dtype = tf_dtypes[dtype_str] 1348 def run(dtype_str, infer_shape): argument 1353 dtype_str 1376 def run(dtype_str, infer_shape): argument 1381 dtype_str 1401 def run(dtype_str, infer_shape): argument [all …]
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/dports/math/py-jax/jax-0.2.9/jax/ |
H A D | test_util.py | 474 def dtype_str(dtype): function 488 return dtype_str(dtype) 490 return 'py' + dtype_str(dtype) 493 return '{}[{}]'.format(dtype_str(dtype), shapestr) 495 return '{}[{},]'.format(dtype_str(dtype), shape)
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/dports/misc/mmdnn/MMdnn-0.3.1/mmdnn/conversion/onnx/ |
H A D | onnx_emitter.py | 117 dtype_str = self.dtype_map[IR_node.layer.attr['dtype'].type] 121 dtype_str, 131 dtype_str = self.dtype_map[IR_node.layer.attr['dtype'].type] 135 dtype_str,
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/dports/math/py-pandas/pandas-1.2.5/pandas/io/ |
H A D | pytables.py | 5037 def _dtype_to_kind(dtype_str: str) -> str: 5041 dtype_str = _ensure_decoded(dtype_str) 5043 if dtype_str.startswith("string") or dtype_str.startswith("bytes"): 5045 elif dtype_str.startswith("float"): 5047 elif dtype_str.startswith("complex"): 5049 elif dtype_str.startswith("int") or dtype_str.startswith("uint"): 5053 elif dtype_str.startswith("timedelta"): 5055 elif dtype_str.startswith("bool"): 5057 elif dtype_str.startswith("category"): 5059 elif dtype_str.startswith("period"): [all …]
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/dports/misc/py-tvm/incubator-tvm-0.6.1/python/tvm/relay/frontend/ |
H A D | tensorflow.py | 554 dtype_str = attr.get('dtype').name 555 tensor_array_constructor = prelude.get_var('tensor_array', dtype_str) 561 dtype_str = attr.get('T').name 564 unstack_function = prelude.get_var(unstack_name, dtype_str) 566 tensor_array_scatter_func = prelude.get_var('tensor_array_scatter', dtype_str) 602 dtype_str = attr.get('T').name 603 v = prelude.get_var("tensor{}".format(input_rank), dtype_str)(inputs[1]) 605 split_var = prelude.get_var('tensor_array_split', dtype_str)
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/dports/misc/tvm/incubator-tvm-0.6.1/python/tvm/relay/frontend/ |
H A D | tensorflow.py | 554 dtype_str = attr.get('dtype').name 555 tensor_array_constructor = prelude.get_var('tensor_array', dtype_str) 561 dtype_str = attr.get('T').name 564 unstack_function = prelude.get_var(unstack_name, dtype_str) 566 tensor_array_scatter_func = prelude.get_var('tensor_array_scatter', dtype_str) 602 dtype_str = attr.get('T').name 603 v = prelude.get_var("tensor{}".format(input_rank), dtype_str)(inputs[1]) 605 split_var = prelude.get_var('tensor_array_split', dtype_str)
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/dports/devel/py-deepdiff/deepdiff-5.6.0/deepdiff/ |
H A D | helper.py | 308 def numpy_dtype_string_to_type(dtype_str): argument 309 return numpy_dtype_str_to_type[dtype_str]
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/dports/math/py-numpy/numpy-1.20.3/numpy/core/ |
H A D | arrayprint.py | 1423 dtype_str = "dtype={})".format(dtype_short_repr(arr.dtype)) 1433 elif last_line_len + len(dtype_str) + 1 > max_line_width: 1436 return arr_str + spacer + dtype_str
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/dports/math/py-pandas/pandas-1.2.5/pandas/core/groupby/ |
H A D | ops.py | 402 dtype_str = values.dtype.name 412 for dt in [dtype_str, "object"]: 419 if dtype_str == "object" and "object" not in f.__signatures__:
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/dports/misc/mmdnn/MMdnn-0.3.1/mmdnn/conversion/cntk/ |
H A D | cntk_emitter.py | 272 …dtype_str = ", dtype = {}".format(self.dtype_map[IR_node.layer.attr['dtype'].type]) if 'dtype' in … 276 dtype_str,
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