| /external/python/cpython2/Lib/idlelib/ |
| D | Debugger.py | 55 vstack = vsource = vlocals = vglobals = None variable in Debugger
156 if not self.vstack:
157 self.__class__.vstack = BooleanVar(top)
158 self.vstack.set(1)
160 text="Stack", command=self.show_stack, variable=self.vstack)
192 if self.vstack.get():
288 if not self.stackviewer and self.vstack.get():
295 if sv and not self.vstack.get():
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| /external/python/cpython3/Lib/idlelib/ |
| D | debugger.py | 60 vstack = vsource = vlocals = vglobals = None variable in Debugger
161 if not self.vstack:
162 self.__class__.vstack = BooleanVar(top)
163 self.vstack.set(1)
165 text="Stack", command=self.show_stack, variable=self.vstack)
197 if self.vstack.get():
293 if not self.stackviewer and self.vstack.get():
300 if sv and not self.vstack.get():
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | gather_nd_op_test.py | 114 np.vstack((params[np.newaxis, :], params[np.newaxis, :])),
130 indices = np.vstack(
140 indices = np.vstack(
|
| D | cholesky_op_test.py | 76 self._verifyCholesky(np.vstack((simple_array, simple_array)))
79 self._verifyCholesky(np.vstack((odd_sized_array, odd_sized_array)))
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | aggregate_ops_test.py | 66 expected = np.sum(np.vstack(
80 expected = np.sum(np.vstack([np.expand_dims(data, 0)] * count),
|
| D | sparse_tensor_dense_matmul_op_test.py | 65 x_indices = np.vstack(np.where(x)).astype(indices_dtype).T
114 x_indices = np.vstack(np.where(x)).astype(np.int64).T
359 x_ind = constant_op.constant(np.vstack(np.where(x)).astype(np.int64).T)
367 x_ind = constant_op.constant(np.vstack(np.where(x)).astype(np.int64).T)
|
| D | gather_nd_op_test.py | 152 np.vstack((params[np.newaxis, :], params[np.newaxis, :])),
174 indices = np.vstack([np.random.randint(0, s, size=2000) for s in shape]).T
186 indices = np.vstack([np.random.randint(0, s, size=2000) for s in shape]).T
393 indices = np.vstack([np.random.randint(0, s, size=10000) for s in shape]).T
|
| D | draw_bounding_box_op_test.py | 85 bboxes = np.vstack([bboxes for _ in range(num_boxes)])
|
| D | sparse_tensor_dense_matmul_grad_test.py | 38 x_indices = np.vstack(non_zero).astype(indices_dtype).T
|
| D | lu_op_test.py | 188 self._verifyLu(np.vstack((simple_array, simple_array)))
190 self._verifyLu(np.vstack((odd_sized_array, odd_sized_array)))
|
| D | where_op_test.py | 73 truth = np.vstack([np.where(x)[0].astype(np.int64)]).T
100 truth = np.vstack(truth).T # Convert to [num_true, indices].
|
| D | ctc_decoder_ops_test.py | 132 np.vstack(
|
| D | cholesky_op_test.py | 129 self._verifyCholesky(np.vstack((simple_array, simple_array)))
131 self._verifyCholesky(np.vstack((odd_sized_array, odd_sized_array)))
|
| D | sparse_add_op_test.py | 43 x_indices = np.vstack(non_zero).astype(index_dtype).T
|
| D | ctc_loss_op_test.py | 221 np.vstack(
240 np.vstack([gradient_log_prob_0[t, :], gradient_log_prob_1[t, :]])
|
| D | checkpoint_ops_test.py | 354 np.vstack([
|
| D | fractional_avg_pool_op_test.py | 61 output_image = np.vstack((output_image, np.mean(
|
| D | fractional_max_pool_op_test.py | 61 output_image = np.vstack((output_image, np.amax(
|
| D | barrier_ops_test.py | 385 expected_values_1 = np.vstack(
|
| /external/tensorflow/tensorflow/python/kernel_tests/signal/ |
| D | shape_ops_test.py | 186 signal = np.vstack([np.arange(6),
214 signal = np.vstack([np.arange(6),
314 input_signal = np.vstack([np.arange(4), np.arange(4) + 10,
|
| /external/tensorflow/tensorflow/python/training/ |
| D | input_test.py | 487 np.vstack((
587 np.vstack((np.arange(batch_size), np.zeros(batch_size))).T)
627 np.vstack((np.arange(batch_size), np.zeros(batch_size))).T)
667 np.vstack((
684 np.vstack((
726 np.vstack((np.arange(batch_size), np.zeros(batch_size))).T)
738 np.vstack((np.arange(extra_elements), np.zeros(extra_elements))).T)
1074 np.vstack((np.arange(batch_size), np.zeros(batch_size))).T)
1258 np.vstack((np.arange(batch_size), np.zeros(batch_size))).T)
1277 np.vstack((np.arange(2 * extra_elements),
[all …]
|
| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/ |
| D | group_by_window_test.py | 78 expected_vec3_str = np.vstack(3 * [np.arange(32).astype(bytes)]).T
118 expected_vec3_str = np.vstack(
130 expected_vec3_str = np.vstack(
|
| /external/tensorflow/tensorflow/python/keras/preprocessing/ |
| D | image_test.py | 107 images = np.vstack(img_list)
406 images = np.vstack(img_list)
|
| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | discretization.py | 326 _BINS_NAME: np.squeeze(np.vstack(boundaries))
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | image_ops_test.py | 1168 x_np = np.vstack([x_np_raw for _ in range(batch_size)])
1169 y_np = np.vstack([y_np_raw for _ in range(batch_size)])
1216 x_np = np.vstack([x_np_raw for _ in range(batch_size)])
1217 y_np = np.vstack([y_np_raw for _ in range(batch_size)])
1344 x_np = np.vstack([x_np_raw for _ in range(batch_size)])
1345 y_np = np.vstack([y_np_raw for _ in range(batch_size)])
4755 multi = np.vstack((b, b + 1, -b, 1.1 * b))
4810 multi = np.vstack((a[np.newaxis, :], b[np.newaxis, :], c[np.newaxis, :]))
|