/external/tensorflow/tensorflow/python/kernel_tests/ |
D | cudnn_deterministic_base.py | 82 out_op = self._random_data_op(out_shape) 83 return out_op 106 out_op = nn_ops.conv3d( 113 self._assert_reproducible(out_op) 124 out_op = self._random_out_op(in_shape, filter_shape, strides, padding) 126 in_op, filter_shape, out_op, strides=strides, padding=padding) 138 out_op = self._random_out_op(in_shape, filter_shape, strides, padding) 140 in_shape, filter_op, out_op, strides=strides, padding=padding)
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D | pooling_ops_test.py | 927 out_op, _ = nn_ops.max_pool_with_argmax(t, ksize, strides, padding) 928 gpu_val = self.evaluate(out_op) 931 out_op = nn_ops.max_pool(t, ksize, strides, padding) 932 cpu_val = self.evaluate(out_op) 950 out_op = gen_nn_ops.max_pool_grad_with_argmax(t, grad_in, argmax, ksize, 952 gpu_val = self.evaluate(out_op) 953 self.assertShapeEqual(gpu_val, out_op) 956 out_op = nn_ops.max_pool(t, ksize, strides, padding) 957 orig_out = self.evaluate(out_op) 959 out_op = gen_nn_ops.max_pool_grad(t, orig_out, grad_in, ksize, strides, [all …]
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/external/tensorflow/tensorflow/core/common_runtime/eager/ |
D | eager_op_rewrite_registry_test.cc | 29 std::unique_ptr<tensorflow::EagerOperation>* out_op) override { in Run() argument 35 out_op->reset(op); in Run() 53 std::unique_ptr<tensorflow::EagerOperation> out_op; in TEST() local 56 EagerOpRewriteRegistry::PRE_EXECUTION, &orig_op, &out_op)); in TEST() 58 EXPECT_EQ("NoOp", out_op->Name()); in TEST()
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D | mkl_eager_op_rewrite_test.cc | 58 std::unique_ptr<tensorflow::EagerOperation> out_op; in CheckRewrite() local 61 EagerOpRewriteRegistry::PRE_EXECUTION, orig_op, &out_op)); in CheckRewrite() 65 if (out_op) { in CheckRewrite() 66 actual_op_name = out_op->Name(); in CheckRewrite()
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D | eager_op_rewrite_registry.cc | 40 std::unique_ptr<tensorflow::EagerOperation>* out_op) { in RunRewrite() argument 43 TF_RETURN_IF_ERROR(rewrite->Run(orig_op, out_op)); in RunRewrite()
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D | eager_op_rewrite_registry.h | 39 std::unique_ptr<tensorflow::EagerOperation>* out_op) = 0; 68 std::unique_ptr<tensorflow::EagerOperation>* out_op);
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D | mkl_eager_op_rewrite.cc | 42 std::unique_ptr<tensorflow::EagerOperation>* out_op); 128 std::unique_ptr<tensorflow::EagerOperation>* out_op) { in Run() argument 130 TF_CHECK_OK(RewriteToMklOp(orig_op, out_op)); in Run()
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D | execute.cc | 713 std::unique_ptr<tensorflow::EagerOperation> out_op; in EagerLocalExecute() local 715 EagerOpRewriteRegistry::POST_PLACEMENT, op, &out_op)); in EagerLocalExecute() 716 if (out_op) { in EagerLocalExecute() 717 op = out_op.get(); in EagerLocalExecute() 1083 std::unique_ptr<tensorflow::EagerOperation> out_op; in EagerExecute() local 1085 EagerOpRewriteRegistry::PRE_EXECUTION, op, &out_op)); in EagerExecute() 1088 if (out_op) { in EagerExecute() 1089 op = out_op.get(); in EagerExecute() 1099 if (out_op) { in EagerExecute() 1100 op = out_op.get(); in EagerExecute()
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/external/tensorflow/tensorflow/compiler/mlir/tfr/integration/ |
D | node_expansion_pass.cc | 37 std::unique_ptr<EagerOperation>* out_op) { in Run() argument 86 out_op->reset(new_op); in Run()
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D | node_expansion_pass.h | 35 std::unique_ptr<tensorflow::EagerOperation>* out_op) override;
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/external/tensorflow/tensorflow/python/ops/ |
D | image_ops_test.py | 2984 out_op = image_ops.resize_images_v2( 2986 gpu_val = self.evaluate(out_op) 2990 out_op = image_ops.resize_images_v2( 2992 cpu_val = self.evaluate(out_op) 3027 out_op = image_ops.resize_images(image, new_size, 3029 value[use_gpu] = self.evaluate(out_op) 3539 out_op = image_ops.resize_images( 3544 gpu_val = self.evaluate(out_op) 3548 out_op = image_ops.resize_images( 3553 cpu_val = self.evaluate(out_op) [all …]
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