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How to use gather method in Molotov

Best Python code snippet using molotov_python

gather_nd_op_test.py

Source:gather_nd_op_test.py

1# Copyright 2015 The TensorFlow Authors. All Rights Reserved.2#3# Licensed under the Apache License, Version 2.0 (the "License");4# you may not use this file except in compliance with the License.5# You may obtain a copy of the License at6#7#     http://www.apache.org/licenses/LICENSE-2.08#9# Unless required by applicable law or agreed to in writing, software10# distributed under the License is distributed on an "AS IS" BASIS,11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.12# See the License for the specific language governing permissions and13# limitations under the License.14# ==============================================================================15"""Tests for tensorflow.ops.tf.gather_nd."""16from __future__ import absolute_import17from __future__ import division18from __future__ import print_function19import time20import numpy as np21from tensorflow.python.client import session22from tensorflow.python.eager import context23from tensorflow.python.framework import constant_op24from tensorflow.python.framework import dtypes25from tensorflow.python.framework import ops26from tensorflow.python.framework import tensor_shape27from tensorflow.python.framework import test_util28from tensorflow.python.ops import array_ops29from tensorflow.python.ops import gradients_impl30from tensorflow.python.ops import resource_variable_ops31from tensorflow.python.ops import variables32from tensorflow.python.platform import test33class GatherNdTest(test.TestCase):34  def _testSimpleDtype(self, dtype):35    with self.cached_session(use_gpu=True):36      params = constant_op.constant(np.array([8, 1, 2, 3, 7, 5], dtype=dtype))37      indices = constant_op.constant([[4], [4], [0]])38      gather_nd_t = array_ops.gather_nd(params, indices)39      gather_nd_val = self.evaluate(gather_nd_t)40    self.assertAllEqual(np.array([7, 7, 8], dtype=dtype), gather_nd_val)41    self.assertEqual([3], gather_nd_t.get_shape())42  def testSimpleDtype(self):43    self._testSimpleDtype(np.float32)44    self._testSimpleDtype(np.float64)45    self._testSimpleDtype(np.int32)46    self._testSimpleDtype(np.int64)47    self._testSimpleDtype(np.complex64)48    self._testSimpleDtype(np.complex128)49    self._testSimpleDtype("|S")  # byte strings in python2 + 350  @test_util.run_deprecated_v151  @test_util.disable_xla("b/123337890")  # Error messages differ52  def testEmptyIndicesAndParamsOKButJustEmptyParamsFails(self):53    with self.session(use_gpu=True):54      params = np.ones((3, 3), dtype=np.float32)55      indices_empty = np.empty((0, 2), dtype=np.int32)56      gather_nd_ok_t = array_ops.gather_nd(params, indices_empty)57      gather_nd_ok_val = self.evaluate(gather_nd_ok_t)58      self.assertEqual([0], gather_nd_ok_t.get_shape())59      self.assertAllClose(np.empty((0,), dtype=np.float32), gather_nd_ok_val)60      indices_empty = np.empty((0, 1), dtype=np.int32)61      gather_nd_ok_t = array_ops.gather_nd(params, indices_empty)62      gather_nd_ok_val = self.evaluate(gather_nd_ok_t)63      self.assertEqual([0, 3], gather_nd_ok_t.get_shape())64      self.assertAllClose(np.empty((0, 3), dtype=np.float32), gather_nd_ok_val)65      params_empty = np.empty((0, 3), dtype=np.float32)66      indices_empty = np.empty((0, 2), dtype=np.int32)67      gather_nd_ok_t = array_ops.gather_nd(params_empty, indices_empty)68      gather_nd_ok_val = self.evaluate(gather_nd_ok_t)69      self.assertEqual([0], gather_nd_ok_t.get_shape())70      self.assertAllClose(np.empty((0,), dtype=np.float32), gather_nd_ok_val)71      params_empty = np.empty((0, 3), dtype=np.float32)72      indices_nonempty = np.zeros((1, 2), dtype=np.int32)73      gather_nd_break_t = array_ops.gather_nd(params_empty, indices_nonempty)74      with self.assertRaisesOpError(75          r"Requested more than 0 entries, but params is empty."):76        self.evaluate(gather_nd_break_t)77      self.assertAllClose(np.empty((0,), dtype=np.float32), gather_nd_ok_val)78  def testIndexScalar(self):79    with self.session(use_gpu=True):80      params = np.array(81          [[-8, -1, -2, -3, -7, -5], [8, 1, 2, 3, 7, 5]], dtype=np.float32).T82      indices = constant_op.constant([4, 1])83      gather_nd_t = array_ops.gather_nd(params, indices)84      gather_nd_val = self.evaluate(gather_nd_t)85      self.assertEqual([], gather_nd_t.get_shape())86      self.assertAllEqual(np.array(7), gather_nd_val)87  def testParamsRankLargerThanIndexIndexScalarSlices(self):88    with self.session(use_gpu=True):89      params = np.array(90          [[-8, -1, -2, -3, -7, -5], [8, 1, 2, 3, 7, 5]], dtype=np.float32).T91      indices = constant_op.constant([4])92      gather_nd_t = array_ops.gather_nd(params, indices)93      gather_nd_val = self.evaluate(gather_nd_t)94      self.assertEqual([2], gather_nd_t.get_shape())95      self.assertAllEqual(np.array([-7, 7]), gather_nd_val)96  def testParamsRankLargerThanIndexSlices(self):97    with self.session(use_gpu=True):98      params = np.array(99          [[-8, -1, -2, -3, -7, -5], [8, 1, 2, 3, 7, 5]], dtype=np.float32).T100      indices = constant_op.constant([[4], [4], [0]])101      gather_nd_t = array_ops.gather_nd(params, indices)102      gather_nd_val = self.evaluate(gather_nd_t)103    self.assertEqual([3, 2], gather_nd_t.get_shape())104    self.assertAllEqual(np.array([[-7, 7], [-7, 7], [-8, 8]]), gather_nd_val)105  def testHigherRankParamsLargerThanIndexSlices(self):106    with self.session(use_gpu=True):107      params = np.array(108          [[[-8, -1, -2, -3, -7, -5], [8, 1, 2, 3, 7, 5]],109           [[-80, -10, -20, -30, -70, -50], [80, 10, 20, 30, 70, 50]]],110          dtype=np.float32).T111      params_t = constant_op.constant(params)112      indices = constant_op.constant([[4], [4], [0]])113      gather_nd_t = array_ops.gather_nd(params_t, indices)114      gather_nd_val = self.evaluate(gather_nd_t)115    self.assertEqual([3, 2, 2], gather_nd_t.get_shape())116    self.assertAllEqual(params[[4, 4, 0]], gather_nd_val)117  def testEmptyIndicesLastRankMeansCopyEntireTensor(self):118    with self.session(use_gpu=True):119      params = np.array(120          [[[-8, -1, -2, -3, -7, -5], [8, 1, 2, 3, 7, 5]],121           [[-80, -10, -20, -30, -70, -50], [80, 10, 20, 30, 70, 50]]],122          dtype=np.float32).T123      params_t = constant_op.constant(params)124      indices = constant_op.constant(125          [[], []], dtype=dtypes.int32)  # Size (2, 0)126      gather_nd_t = array_ops.gather_nd(params_t, indices)127      gather_nd_val = self.evaluate(gather_nd_t)128    self.assertEqual([2, 6, 2, 2], gather_nd_t.get_shape())129    self.assertAllEqual(130        np.vstack((params[np.newaxis, :], params[np.newaxis, :])),131        gather_nd_val)132  def testHigherRankParamsAndIndicesLargerThanIndexSlices(self):133    with self.session(use_gpu=True):134      params = np.array(135          [[[-8, -1, -2, -3, -7, -5], [8, 1, 2, 3, 7, 5]],136           [[-80, -10, -20, -30, -70, -50], [80, 10, 20, 30, 70, 50]]],137          dtype=np.float32).T138      params_t = constant_op.constant(params)139      indices = constant_op.constant([[[3], [2], [1]], [[4], [4], [0]]])140      gather_nd_t = array_ops.gather_nd(params_t, indices)141      gather_nd_val = self.evaluate(gather_nd_t)142    self.assertEqual([2, 3, 2, 2], gather_nd_t.get_shape())143    self.assertAllEqual(params[[3, 2, 1, 4, 4, 0]].reshape(2, 3, 2, 2),144                        gather_nd_val)145  def testHigherRankParams(self):146    with self.session(use_gpu=True):147      shape = (10, 20, 5, 1, 17)148      params = np.random.rand(*shape)149      indices = np.vstack([np.random.randint(0, s, size=2000) for s in shape]).T150      gather_nd_t = array_ops.gather_nd(params, indices)151      gather_nd_val = self.evaluate(gather_nd_t)152    expected = params[tuple(indices.T)]153    self.assertAllEqual(expected, gather_nd_val)154    self.assertEqual([2000], gather_nd_t.get_shape())155  def testHigherRankParamsAndIndices(self):156    with self.session(use_gpu=True):157      shape = (10, 20, 5, 1, 17)158      params = np.random.rand(*shape)159      indices = np.vstack([np.random.randint(0, s, size=2000) for s in shape]).T160      indices_reshaped = indices.reshape([10, 10, 20, 5])161      gather_nd_t = array_ops.gather_nd(params, indices_reshaped)162      gather_nd_val = self.evaluate(gather_nd_t)163    expected = params[tuple(indices.T)]164    self.assertAllEqual(expected.reshape([10, 10, 20]), gather_nd_val)165    self.assertEqual([10, 10, 20], gather_nd_t.get_shape())166  def assertIndexedSlices(self, t):167    self.assertIsInstance(t, ops.IndexedSlices)168  @test_util.run_deprecated_v1169  def testUnknownIndices(self):170    params = constant_op.constant([[0, 1, 2]])171    indices = array_ops.placeholder(dtypes.int32)172    gather_nd_t = array_ops.gather_nd(params, indices)173    shape = gather_nd_t.get_shape()174    self.assertEqual(None, shape.ndims)175    self.assertEqual(None, tensor_shape.dimension_value(shape[0]))176  @test_util.run_deprecated_v1177  @test_util.disable_xla("XLA does not have assertions in kernels.")178  def testBadIndicesCPU(self):179    with self.session(use_gpu=False):180      params = [0, 1, 2]181      indices = [[[0], [7]]]  # Make this one higher rank182      gather_nd = array_ops.gather_nd(params, indices)183      with self.assertRaisesOpError(184          r"indices\[0,1\] = \[7\] does not index into param shape \[3\]"):185        self.evaluate(gather_nd)186  def _disabledTestBadIndicesGPU(self):187    # TODO disabled due to different behavior on GPU and CPU188    # On GPU the bad indices do not raise error but fetch 0 values189    if not test.is_gpu_available():190      return191    with self.session(use_gpu=True):192      params = [0, 1, 2]193      indices = [[[0], [7]]]  # Make this one higher rank194      gather_nd = array_ops.gather_nd(params, indices)195      with self.assertRaisesOpError(196          r"indices\[0,1\] = \[7\] does not index into param shape \[3\]"):197        self.evaluate(gather_nd)198  @test_util.run_deprecated_v1199  @test_util.disable_xla("XLA does not have assertions in kernels.")200  def testBadIndicesWithSlicesCPU(self):201    with self.session(use_gpu=False):202      params = [[0, 1, 2]]203      indices = [[[0], [0], [1]]]  # Make this one higher rank204      gather_nd = array_ops.gather_nd(params, indices)205      with self.assertRaisesOpError(206          r"indices\[0,2\] = \[1\] does not index into param shape \[1,3\]"):207        self.evaluate(gather_nd)208  def _disabledTestBadIndicesWithSlicesGPU(self):209    # TODO disabled due to different behavior on GPU and CPU210    # On GPU the bad indices do not raise error but fetch 0 values211    if not test.is_gpu_available():212      return213    with self.session(use_gpu=True):214      params = [[0, 1, 2]]215      indices = [[[0], [0], [1]]]  # Make this one higher rank216      gather_nd = array_ops.gather_nd(params, indices)217      with self.assertRaisesOpError(218          r"indices\[0,2\] = \[1\] does not index into param shape \[1,3\]"):219        self.evaluate(gather_nd)220  @test_util.run_deprecated_v1221  def testGradientsRank2Elements(self):222    indices = constant_op.constant([[0, 0], [1, 1]], dtype=dtypes.int32)223    inputs = constant_op.constant([[1, 2], [3, 4]], dtype=dtypes.float64)224    outputs = array_ops.gather_nd(inputs, indices)225    grad_vals = constant_op.constant([1, 2], dtype=dtypes.float64)226    grads = gradients_impl.gradients([outputs], [inputs], [grad_vals])[0]227    expected_grads = np.array([[1, 0], [0, 2]], dtype=np.float64)228    with self.session(use_gpu=True):229      assert np.array_equal(expected_grads, self.evaluate(grads))230  @test_util.run_deprecated_v1231  def testGradientsRank2Slices(self):232    indices = constant_op.constant([[1], [0]], dtype=dtypes.int32)233    inputs = constant_op.constant([[1, 2], [3, 4]], dtype=dtypes.float64)234    outputs = array_ops.gather_nd(inputs, indices)235    grad_vals = constant_op.constant([[1, 2], [3, 4]], dtype=dtypes.float64)236    grads = gradients_impl.gradients([outputs], [inputs], [grad_vals])[0]237    expected_grads = np.array([[3, 4], [1, 2]], dtype=np.float64)238    with self.session(use_gpu=True):239      self.assertIndexedSlices(grads)240      self.assertAllEqual(expected_grads, ops.convert_to_tensor(grads).eval())241  @test_util.run_deprecated_v1242  def testGradientsRank3Elements(self):243    indices = constant_op.constant(244        [[[0, 1], [1, 0]], [[0, 0], [1, 1]]], dtype=dtypes.int32)245    inputs = constant_op.constant(246        [[[1, 3], [5, 7]], [[2, 4], [6, 8]]], dtype=dtypes.float64)247    outputs = array_ops.gather_nd(inputs, indices)248    grad_vals = constant_op.constant(249        [[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype=dtypes.float64)250    grads = gradients_impl.gradients([outputs], [inputs], [grad_vals])[0]251    expected_grads = np.array(252        [[[5, 6], [1, 2]], [[3, 4], [7, 8]]], dtype=np.float64)253    with self.session(use_gpu=True):254      self.assertAllEqual(expected_grads, self.evaluate(grads))255  @test_util.run_deprecated_v1256  def testGradientsRank7Elements(self):257    # Shape [1,1,2,1,1,2,2]258    indices = constant_op.constant(259        [[[260            [[[[0, 0, 0, 0, 0, 1], [0, 0, 1, 0, 0, 0]]]],261            [[[[0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 1]]]]262        ]]],263        dtype=dtypes.int32)264    inputs = constant_op.constant(265        [[[266            [[[[1, 3], [5, 7]]]],267            [[[[2, 4], [6, 8]]]]268        ]]], dtype=dtypes.float64)269    outputs = array_ops.gather_nd(inputs, indices)270    grad_vals = constant_op.constant(271        [[[272            [[[[1, 2], [3, 4]]]],273            [[[[5, 6], [7, 8]]]]274        ]]], dtype=dtypes.float64)275    grads = gradients_impl.gradients([outputs], [inputs], [grad_vals])[0]276    expected_grads = np.array(277        [[[278            [[[[5, 6], [1, 2]]]],279            [[[[3, 4], [7, 8]]]]280        ]]], dtype=np.float64)281    with self.session(use_gpu=True):282      self.assertAllEqual(expected_grads, self.evaluate(grads))283  @test_util.run_deprecated_v1284  def testGradientsInt64Indices(self):285    indices = constant_op.constant(286        [[[0, 1], [1, 0]], [[0, 0], [1, 1]]], dtype=dtypes.int64)287    inputs = constant_op.constant(288        [[[1, 3], [5, 7]], [[2, 4], [6, 8]]], dtype=dtypes.float64)289    outputs = array_ops.gather_nd(inputs, indices)290    grad_vals = constant_op.constant(291        [[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype=dtypes.float64)292    grads = gradients_impl.gradients([outputs], [inputs], [grad_vals])[0]293    expected_grads = np.array(294        [[[5, 6], [1, 2]], [[3, 4], [7, 8]]], dtype=np.float64)295    with self.session(use_gpu=True):296      self.assertAllEqual(expected_grads, self.evaluate(grads))297  @test_util.run_deprecated_v1298  def testGradientsRank2SlicesWithEmptySpace(self):299    indices = constant_op.constant([[2], [0], [5]], dtype=dtypes.int32)300    inputs = constant_op.constant(301        [[1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 2, 3, 4, 5, 6, 7, 8, 9],302         [1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 2, 3, 4, 5, 6, 7, 8, 9],303         [1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 2, 3, 4, 5, 6, 7, 8, 9]],304        dtype=dtypes.float64)305    outputs = array_ops.gather_nd(inputs, indices)306    grad_vals = constant_op.constant(307        [[1, 1, 1, 1, 1, 1, 1, 1, 1], [2, 2, 2, 2, 2, 2, 2, 2, 2],308         [3, 3, 3, 3, 3, 3, 3, 3, 3]],309        dtype=dtypes.float64)310    grads = gradients_impl.gradients([outputs], [inputs], [grad_vals])[0]311    expected_grads = np.array(312        [[2, 2, 2, 2, 2, 2, 2, 2, 2], [0, 0, 0, 0, 0, 0, 0, 0, 0],313         [1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0],314         [0, 0, 0, 0, 0, 0, 0, 0, 0], [3, 3, 3, 3, 3, 3, 3, 3, 3]],315        dtype=np.float64)316    with self.session(use_gpu=True):317      self.assertIndexedSlices(grads)318      self.assertAllEqual(expected_grads, ops.convert_to_tensor(grads).eval())319  @test_util.run_v1_only("RefVariable is not supported in v2")320  def testGatherNdRefVariable(self):321    with self.cached_session():322      v = variables.RefVariable(constant_op.constant([[1, 2], [3, 4], [5, 6]]))323      self.evaluate(variables.global_variables_initializer())324      gather = array_ops.gather_nd(v, [[0, 1], [2, 0]])325      if not context.executing_eagerly():  # .op doesn't make sense in Eager326        self.assertEqual("GatherNd", gather.op.name)327      self.assertAllEqual([2, 5], gather)328  @test_util.run_in_graph_and_eager_modes329  def testGatherNdResourceVariable(self):330    with self.cached_session():331      v = resource_variable_ops.ResourceVariable(332          constant_op.constant([[1, 2], [3, 4], [5, 6]]))333      self.evaluate(variables.global_variables_initializer())334      gather = array_ops.gather_nd(v, [[0, 1], [2, 0]])335      if not context.executing_eagerly():  # .op doesn't make sense in Eager336        self.assertEqual("ResourceGatherNd", gather.op.inputs[0].op.type)337      self.assertAllEqual([2, 5], gather)338class GatherNdOpBenchmark(test.Benchmark):339  def benchmark_gather_nd_op(self):340    shape = (100, 47, 18, 170, 13)341    np.random.seed(127)342    params = np.random.rand(*shape)343    indices = np.vstack([np.random.randint(0, s, size=10000) for s in shape]).T344    with session.Session():345      t_params = variables.Variable(params)346      t_indices = variables.Variable(indices)347      gather_op = array_ops.gather_nd(t_params, t_indices)348      variables.global_variables_initializer().run()349      for _ in range(10):350        self.evaluate(gather_op)351      t1 = time.time()352      for _ in range(1000):353        self.evaluate(gather_op)354      t2 = time.time()355      self.report_benchmark(iters=1000, wall_time=(t2 - t1) / 1000.0)356if __name__ == "__main__":...

gather_test.py

Source:gather_test.py

...40        for indices in 4, [4], [1, 2, 2, 4, 5]:41          params_np = self._buildParams(data, dtype)42          params = array_ops.placeholder(dtype=dtype)43          indices_tf = constant_op.constant(indices)44          gather_t = array_ops.gather(params, indices_tf)45          gather_val = session.run(gather_t, feed_dict={params: params_np})46          np_val = constant_op.constant(params_np[indices])47          self.assertAllEqual(np_val, gather_val)48  def testScalar2D(self):49    with self.session() as session, self.test_scope():50      data = np.array([[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11],51                       [12, 13, 14]])52      for dtype in self.all_tf_types:53        for axis in 0, 1, -1:54          params_np = self._buildParams(data, dtype)55          params = array_ops.placeholder(dtype=dtype)56          indices = constant_op.constant(2)57          gather_t = array_ops.gather(params, indices, axis=axis)58          gather_val = session.run(gather_t, feed_dict={params: params_np})59          expected = constant_op.constant(60              np.take(params_np, 2, axis=axis), dtype)61          self.assertAllEqual(expected, gather_val)62  def testSimpleTwoD32(self):63    with self.session() as session, self.test_scope():64      data = np.array([[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11],65                       [12, 13, 14]])66      for dtype in self.all_tf_types:67        for axis in 0, 1, -1:68          params_np = self._buildParams(data, dtype)69          params = array_ops.placeholder(dtype=dtype)70          # The indices must be in bounds for any axis.71          indices = constant_op.constant([0, 1, 0, 2])72          gather_t = array_ops.gather(params, indices, axis=axis)73          gather_val = session.run(gather_t, feed_dict={params: params_np})74          expected = constant_op.constant(75              np.take(params_np, [0, 1, 0, 2], axis=axis), dtype)76          self.assertAllEqual(expected, gather_val)77  def testSimpleTwoD32_Int64Indices(self):78    if np.int64 not in self.int_types:79      return80    with self.session() as session, self.test_scope():81      data = np.array([[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11],82                       [12, 13, 14]])83      # The indices must be in bounds for any axis.84      indices_np = np.array([0, 1, 0, 2])85      for dtype in self.all_tf_types:86        for axis in 0, 1, -1:87          params_np = self._buildParams(data, dtype)88          params = array_ops.placeholder(dtype=dtype)89          indices = array_ops.placeholder(dtype=dtypes.int64)90          gather_t = array_ops.gather(params, indices, axis=axis)91          gather_val = session.run(92              gather_t, feed_dict={93                  params: params_np,94                  indices: indices_np95              })96          expected = constant_op.constant(97              np.take(params_np, [0, 1, 0, 2], axis=axis), dtype)98          self.assertAllEqual(expected, gather_val)99  def testHigherRank(self):100    """Check that scalar and empty indices shapes work as well."""101    shape = (2, 1, 3, 2)102    for indices_shape in (), (0,), (2, 0), (2, 3):103      for dtype in self.all_tf_types:104        for axis in 0, 1, 2, 3, -1, -2:105          params = self._buildParams(np.random.randn(*shape), dtype)106          indices = np.random.randint(shape[axis], size=indices_shape)107          with self.session() as sess, self.test_scope():108            tf_params = array_ops.placeholder(dtype=dtype)109            tf_indices = constant_op.constant(indices, dtype=dtypes.int32)110            gather = array_ops.gather(tf_params, tf_indices, axis=axis)111            gather_value = sess.run(gather, feed_dict={tf_params: params})112            gather_np = constant_op.constant(113                np.take(params, indices, axis=axis), dtype)114            self.assertAllEqual(gather_np, gather_value)115  def testIndicesWithDifferentDimensions(self):116    with self.session():117      for dtype in self.numeric_tf_types:118        params = array_ops.placeholder(dtype=dtype)119        indices = array_ops.placeholder(dtype=np.int32)120        with self.test_scope():121          gather = array_ops.gather(params, indices)122        self.assertAllEqual(123            7, gather.eval(feed_dict={params: [4, 7, 2], indices: 1}))124        self.assertAllEqual(125            [7], gather.eval(feed_dict={params: [4, 7, 2], indices: [1]}))126        self.assertAllEqual(127            [[7]], gather.eval(feed_dict={params: [4, 7, 2], indices: [[1]]}))128  def testGatherPrecision(self):129    with self.session() as session, self.test_scope():130      data = np.array([[0, 0, 0, 0], [0, 2 * (1 + np.exp2(-8)), 0, 0],131                       [0, 0, 0, 0], [0.015789, 0.0985, 0.55789, 0.3842]])132      indices = np.array([1, 2, 3, 1])133      dtype = dtypes.float32134      params_np = self._buildParams(data, dtype)135      params = array_ops.placeholder(dtype=dtype)136      indices_tf = constant_op.constant(indices)137      gather_t = array_ops.gather(params, indices_tf)138      gather_val = session.run(gather_t, feed_dict={params: params_np})139      np_val = params_np[indices]140      self.assertAllEqual(np_val, gather_val)141class GatherBenchmark(test.Benchmark):142  """Microbenchmarks for the gather op."""143  def _benchmarkGather(self, name, axis, gather_indices, use_xla_jit):144    def BuilderFn():145      inputs = variables.Variable(146          array_ops.zeros([100, 100, 10, 100, 50], dtype=dtypes.float32),147          dtype=dtypes.float32,148          name='input')149      indices = variables.Variable(150          gather_indices, dtype=dtypes.int32, name='indices')151      gather_t = array_ops.gather(inputs, indices, axis=axis)152      return '%s.axis%d' % (name, axis), [gather_t]153    xla_test.Benchmark(self, BuilderFn, use_xla_jit=use_xla_jit, device='cpu')154  def _benchmarkSliceGather(self, axis, use_xla_jit):155    """Benchmarks a gather op that's really a dynamic slice."""156    self._benchmarkGather('slice_gather', axis, [1], use_xla_jit)157  def _benchmarkNontrivialGather(self, axis, use_xla_jit):158    self._benchmarkGather('nontrivial_gather', axis, [9, 1, 0, 2] * 4,159                          use_xla_jit)160  def benchmarkSliceGatherAxis0(self):161    self._benchmarkSliceGather(axis=0, use_xla_jit=False)162  def benchmarkSliceGatherAxis0XLA(self):163    self._benchmarkSliceGather(axis=0, use_xla_jit=True)164  def benchmarkSliceGatherAxis1(self):165    self._benchmarkSliceGather(axis=1, use_xla_jit=False)...

hlsl.gathercmpRGBA.offsetarray.dx10.frag

Source:hlsl.gathercmpRGBA.offsetarray.dx10.frag

1SamplerComparisonState g_sSampCmp : register(s0);2uniform Texture1DArray <float4> g_tTex1df4a : register(t0);3Texture1DArray <int4>   g_tTex1di4a;4Texture1DArray <uint4>  g_tTex1du4a;5Texture2DArray <float4> g_tTex2df4a;6Texture2DArray <int4>   g_tTex2di4a;7Texture2DArray <uint4>  g_tTex2du4a;8TextureCubeArray <float4> g_tTexcdf4a;9TextureCubeArray <int4>   g_tTexcdi4a;10TextureCubeArray <uint4>  g_tTexcdu4a;11struct PS_OUTPUT12{13    float4 Color : SV_Target0;14    float  Depth : SV_Depth;15};16uniform float  c1;17uniform float2 c2;18uniform float3 c3;19uniform float4 c4;20uniform int  o1;21uniform int2 o2;22uniform int3 o3;23uniform int4 o4;24PS_OUTPUT main()25{26   PS_OUTPUT psout;27   uint status;28   // no 1D gathers29   float4 txval401 = g_tTex2df4a . GatherCmp(g_sSampCmp, c3, 0.75, o2);30   int4   txval411 = g_tTex2di4a . GatherCmp(g_sSampCmp, c3, 0.75, o2);31   uint4  txval421 = g_tTex2du4a . GatherCmp(g_sSampCmp, c3, 0.75, o2);32   float4 txval001 = g_tTex2df4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2);33   int4   txval011 = g_tTex2di4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2);34   uint4  txval021 = g_tTex2du4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2);35   float4 txval004 = g_tTex2df4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);36   int4   txval014 = g_tTex2di4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);37   uint4  txval024 = g_tTex2du4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);38   39   // float4 txval00s = g_tTex2df4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, status);40   // int4   txval01s = g_tTex2di4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, status);41   // uint4  txval02s = g_tTex2du4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, status);42   // float4 txval004s = g_tTex2df4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);43   // int4   txval014s = g_tTex2di4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);44   // uint4  txval024s = g_tTex2du4a . GatherCmpRed(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);45   float4 txval101 = g_tTex2df4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2);46   int4   txval111 = g_tTex2di4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2);47   uint4  txval121 = g_tTex2du4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2);48   float4 txval104 = g_tTex2df4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);49   int4   txval114 = g_tTex2di4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);50   uint4  txval124 = g_tTex2du4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);51   // float4 txval10s = g_tTex2df4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, status);52   // int4   txval11s = g_tTex2di4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, status);53   // uint4  txval12s = g_tTex2du4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, status);54   // float4 txval104 = g_tTex2df4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);55   // int4   txval114 = g_tTex2di4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);56   // uint4  txval124 = g_tTex2du4a . GatherCmpGreen(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);57   float4 txval201 = g_tTex2df4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2);58   int4   txval211 = g_tTex2di4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2);59   uint4  txval221 = g_tTex2du4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2);60   float4 txval204 = g_tTex2df4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);61   int4   txval214 = g_tTex2di4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);62   uint4  txval224 = g_tTex2du4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);63   // float4 txval204s = g_tTex2df4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);64   // int4   txval214s = g_tTex2di4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);65   // uint4  txval224s = g_tTex2du4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);66   // float4 txval20s = g_tTex2df4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, status);67   // int4   txval21s = g_tTex2di4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, status);68   // uint4  txval22s = g_tTex2du4a . GatherCmpBlue(g_sSampCmp, c3, 0.75, o2, status);69   float4 txval301 = g_tTex2df4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2);70   int4   txval311 = g_tTex2di4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2);71   uint4  txval321 = g_tTex2du4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2);72   float4 txval304 = g_tTex2df4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);73   int4   txval314 = g_tTex2di4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);74   uint4  txval324 = g_tTex2du4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, o2, o2, o2);75   // float4 txval304s = g_tTex2df4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);76   // int4   txval314s = g_tTex2di4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);77   // uint4  txval324s = g_tTex2du4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, o2, o2, o2, status);78   // float4 txval30s = g_tTex2df4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, status);79   // int4   txval31s = g_tTex2di4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, status);80   // uint4  txval32s = g_tTex2du4a . GatherCmpAlpha(g_sSampCmp, c3, 0.75, o2, status);81   // no 3D gathers with offset82   psout.Color = 1.0;83   psout.Depth = 1.0;84   return psout;...

hlsl.gatherRGBA.offset.dx10.frag

Source:hlsl.gatherRGBA.offset.dx10.frag

1SamplerState       g_sSamp : register(s0);2uniform sampler2D          g_sSamp2d;3Texture1D          g_tTex1df4a : register(t1);4uniform Texture1D <float4> g_tTex1df4 : register(t0);5Texture1D <int4>   g_tTex1di4;6Texture1D <uint4>  g_tTex1du4;7Texture2D <float4> g_tTex2df4;8Texture2D <int4>   g_tTex2di4;9Texture2D <uint4>  g_tTex2du4;10Texture3D <float4> g_tTex3df4;11Texture3D <int4>   g_tTex3di4;12Texture3D <uint4>  g_tTex3du4;13TextureCube <float4> g_tTexcdf4;14TextureCube <int4>   g_tTexcdi4;15TextureCube <uint4>  g_tTexcdu4;16struct PS_OUTPUT17{18    float4 Color : SV_Target0;19    float  Depth : SV_Depth;20};21uniform float  c1;22uniform float2 c2;23uniform float3 c3;24uniform float4 c4;25uniform int  o1;26uniform int2 o2;27uniform int3 o3;28uniform int4 o4;29PS_OUTPUT main()30{31   PS_OUTPUT psout;32   uint status;33   // no 1D gathers34   float4 txval001 = g_tTex2df4 . GatherRed(g_sSamp, c2, o2);35   int4   txval011 = g_tTex2di4 . GatherRed(g_sSamp, c2, o2);36   uint4  txval021 = g_tTex2du4 . GatherRed(g_sSamp, c2, o2);37   float4 txval004 = g_tTex2df4 . GatherRed(g_sSamp, c2, o2, o2, o2, o2);38   int4   txval014 = g_tTex2di4 . GatherRed(g_sSamp, c2, o2, o2, o2, o2);39   uint4  txval024 = g_tTex2du4 . GatherRed(g_sSamp, c2, o2, o2, o2, o2);40   41   // float4 txval00s = g_tTex2df4 . GatherRed(g_sSamp, c2, o2, status);42   // int4   txval01s = g_tTex2di4 . GatherRed(g_sSamp, c2, o2, status);43   // uint4  txval02s = g_tTex2du4 . GatherRed(g_sSamp, c2, o2, status);44   // float4 txval004s = g_tTex2df4 . GatherRed(g_sSamp, c2, o2, o2, o2, o2, status);45   // int4   txval014s = g_tTex2di4 . GatherRed(g_sSamp, c2, o2, o2, o2, o2, status);46   // uint4  txval024s = g_tTex2du4 . GatherRed(g_sSamp, c2, o2, o2, o2, o2, status);47   float4 txval101 = g_tTex2df4 . GatherGreen(g_sSamp, c2, o2);48   int4   txval111 = g_tTex2di4 . GatherGreen(g_sSamp, c2, o2);49   uint4  txval121 = g_tTex2du4 . GatherGreen(g_sSamp, c2, o2);50   float4 txval104 = g_tTex2df4 . GatherGreen(g_sSamp, c2, o2, o2, o2, o2);51   int4   txval114 = g_tTex2di4 . GatherGreen(g_sSamp, c2, o2, o2, o2, o2);52   uint4  txval124 = g_tTex2du4 . GatherGreen(g_sSamp, c2, o2, o2, o2, o2);53   // float4 txval10s = g_tTex2df4 . GatherGreen(g_sSamp, c2, o2, status);54   // int4   txval11s = g_tTex2di4 . GatherGreen(g_sSamp, c2, o2, status);55   // uint4  txval12s = g_tTex2du4 . GatherGreen(g_sSamp, c2, o2, status);56   // float4 txval104 = g_tTex2df4 . GatherGreen(g_sSamp, c2, o2, o2, o2, o2, status);57   // int4   txval114 = g_tTex2di4 . GatherGreen(g_sSamp, c2, o2, o2, o2, o2, status);58   // uint4  txval124 = g_tTex2du4 . GatherGreen(g_sSamp, c2, o2, o2, o2, o2, status);59   float4 txval201 = g_tTex2df4 . GatherBlue(g_sSamp, c2, o2);60   int4   txval211 = g_tTex2di4 . GatherBlue(g_sSamp, c2, o2);61   uint4  txval221 = g_tTex2du4 . GatherBlue(g_sSamp, c2, o2);62   float4 txval204 = g_tTex2df4 . GatherBlue(g_sSamp, c2, o2, o2, o2, o2);63   int4   txval214 = g_tTex2di4 . GatherBlue(g_sSamp, c2, o2, o2, o2, o2);64   uint4  txval224 = g_tTex2du4 . GatherBlue(g_sSamp, c2, o2, o2, o2, o2);65   // float4 txval204s = g_tTex2df4 . GatherBlue(g_sSamp, c2, o2, o2, o2, o2, status);66   // int4   txval214s = g_tTex2di4 . GatherBlue(g_sSamp, c2, o2, o2, o2, o2, status);67   // uint4  txval224s = g_tTex2du4 . GatherBlue(g_sSamp, c2, o2, o2, o2, o2, status);68   // float4 txval20s = g_tTex2df4 . GatherBlue(g_sSamp, c2, o2, status);69   // int4   txval21s = g_tTex2di4 . GatherBlue(g_sSamp, c2, o2, status);70   // uint4  txval22s = g_tTex2du4 . GatherBlue(g_sSamp, c2, o2, status);71   float4 txval301 = g_tTex2df4 . GatherAlpha(g_sSamp, c2, o2);72   int4   txval311 = g_tTex2di4 . GatherAlpha(g_sSamp, c2, o2);73   uint4  txval321 = g_tTex2du4 . GatherAlpha(g_sSamp, c2, o2);74   float4 txval304 = g_tTex2df4 . GatherAlpha(g_sSamp, c2, o2, o2, o2, o2);75   int4   txval314 = g_tTex2di4 . GatherAlpha(g_sSamp, c2, o2, o2, o2, o2);76   uint4  txval324 = g_tTex2du4 . GatherAlpha(g_sSamp, c2, o2, o2, o2, o2);77   // float4 txval304s = g_tTex2df4 . GatherAlpha(g_sSamp, c2, o2, o2, o2, o2, status);78   // int4   txval314s = g_tTex2di4 . GatherAlpha(g_sSamp, c2, o2, o2, o2, o2, status);79   // uint4  txval324s = g_tTex2du4 . GatherAlpha(g_sSamp, c2, o2, o2, o2, o2, status);80   // float4 txval30s = g_tTex2df4 . GatherAlpha(g_sSamp, c2, o2, status);81   // int4   txval31s = g_tTex2di4 . GatherAlpha(g_sSamp, c2, o2, status);82   // uint4  txval32s = g_tTex2du4 . GatherAlpha(g_sSamp, c2, o2, status);83   // no 3D gathers with offset84   psout.Color = 1.0;85   psout.Depth = 1.0;86   return psout;...

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