/external/tensorflow/tensorflow/core/kernels/ |
D | encode_proto_op.cc | 78 auto input_t = input.flat_inner_dims<int64>(); in TotalPackedSize() local 81 input_t(static_cast<int64>(message_index), i)); in TotalPackedSize() 91 auto input_t = input.flat_inner_dims<uint64>(); in TotalPackedSize() local 94 input_t(static_cast<int64>(message_index), i)); in TotalPackedSize() 104 auto input_t = input.flat_inner_dims<int64>(); in TotalPackedSize() local 107 input_t(static_cast<int64>(message_index), i)); in TotalPackedSize() 117 auto input_t = input.flat_inner_dims<int32>(); in TotalPackedSize() local 120 input_t(static_cast<int64>(message_index), i)); in TotalPackedSize() 155 auto input_t = input.flat_inner_dims<uint64>(); in TotalPackedSize() local 158 input_t(static_cast<int64>(message_index), i)); in TotalPackedSize() [all …]
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D | conv_grad_input_ops_benchmark_test.cc | 45 Tensor input_t = data_format == FORMAT_NHWC in Conv2DBackpropInput() local 59 TF_CHECK_OK(ComputeConv2DDimension(params, input_t, filter_t, &conv2d_dims)); in Conv2DBackpropInput() 69 input_dims_t.flat<int32>()(0) = input_t.dim_size(0); in Conv2DBackpropInput() 70 input_dims_t.flat<int32>()(1) = input_t.dim_size(1); in Conv2DBackpropInput() 71 input_dims_t.flat<int32>()(2) = input_t.dim_size(2); in Conv2DBackpropInput() 72 input_dims_t.flat<int32>()(3) = input_t.dim_size(3); in Conv2DBackpropInput()
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D | population_count_op.cc | 46 const Tensor& input_t = c->input(0); in Compute() local 48 OP_REQUIRES_OK(c, c->allocate_output(0, input_t.shape(), &output_t)); in Compute() 50 auto input = input_t.flat<T>(); in Compute()
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D | compare_and_bitpack_op.cc | 43 const Tensor& input_t = c->input(0); in Compute() local 49 const TensorShape& input_shape = input_t.shape(); in Compute() 66 auto input = input_t.flat_inner_dims<T>(); in Compute()
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D | shape_ops.h | 143 const Tensor& input_t = ctx->input(0); in Compute() local 144 OP_REQUIRES(ctx, input_t.dtype() != DT_VARIANT, in Compute() 153 const TensorShape& input_shape = input_t.shape(); in Compute() 179 if (!output_t.CopyFrom(input_t, output_shape)) { in Compute()
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D | conv_grad_filter_ops_benchmark_test.cc | 46 Tensor input_t = data_format == FORMAT_NHWC in Conv2DBackpropFilter() local 60 TF_CHECK_OK(ComputeConv2DDimension(params, input_t, filter_t, &conv2d_dims)); in Conv2DBackpropFilter() 75 Node* input = test::graph::Constant(graph, input_t, "input"); in Conv2DBackpropFilter()
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D | slice_op.cc | 173 auto input_t = input.tensor<T, 2>(); in Compute() local 188 &input_t(row + 1, col_begin)); in Compute() 190 memcpy(&output_t(i, 0), &input_t(row, col_begin), in Compute()
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D | xsmm_conv2d_test.cc | 138 LIBXSMM_VLA_DECL(4, const float, input_t, in naive_conv_fp() 155 LIBXSMM_VLA_ACCESS(4, input_t, img, ifm, ij + kj, ii + ki, in naive_conv_fp()
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/external/tensorflow/tensorflow/python/keras/layers/preprocessing/benchmarks/ |
D | index_lookup_forward_benchmark.py | 76 input_t = keras.Input(shape=(), dtype=dtypes.string) 84 out_t = layer(input_t) 85 model = keras.Model(input_t, out_t) 108 input_t = keras.Input(shape=(), dtype=dtypes.string) 116 out_t = layer(input_t) 117 model = keras.Model(input_t, out_t)
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D | discretization_adapt_benchmark.py | 53 input_t = keras.Input(shape=(1,)) 55 _ = layer(input_t) 80 input_t = keras.Input(shape=(1,), dtype=dtypes.float32) 82 _ = layer(input_t)
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D | index_lookup_adapt_benchmark.py | 71 input_t = keras.Input(shape=(), dtype=dtypes.string) 78 _ = layer(input_t) 95 input_t = keras.Input(shape=(), dtype=dtypes.string) 102 _ = layer(input_t)
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D | normalization_adapt_benchmark.py | 64 input_t = keras.Input(shape=(1,)) 66 _ = layer(input_t) 92 input_t = keras.Input(shape=(1,), dtype=dtypes.float32) 94 _ = layer(input_t)
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D | category_encoding_benchmark.py | 41 input_t = keras.Input(shape=(sequence_length,), dtype=dtypes.int32) 44 _ = layer(input_t)
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/external/tensorflow/tensorflow/core/kernels/mkl/ |
D | mkl_conv_ops_test.cc | 108 Tensor input_t = GetRandomInputTensor(dims); in DefaultConv2D() local 111 Node* input = test::graph::Constant(graph, input_t, "input"); in DefaultConv2D() 130 Tensor input_t = GetRandomInputTensor(dims); in MklConv2D() local 133 Node* input = test::graph::Constant(graph, input_t, "input"); in MklConv2D() 221 Tensor input_t = GetRandomInputTensor(dims); in DefaultConv2DBwdFilter() local 226 Node* input = test::graph::Constant(graph, input_t, "input"); in DefaultConv2DBwdFilter() 250 Tensor input_t = GetRandomInputTensor(dims); in MklConv2DBwdFilter() local 255 Node* input = test::graph::Constant(graph, input_t, "input"); in MklConv2DBwdFilter()
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D | mkl_relu_op_test.cc | 53 Tensor input_t(DT_FLOAT, shape); in Activation() local 54 input_t.flat<float>().setRandom(); in Activation() 55 Node* input = test::graph::Constant(graph, input_t, "input"); in Activation()
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/external/tensorflow/tensorflow/core/grappler/optimizers/ |
D | remapper_test.cc | 158 auto input_t = GenerateRandomTensor<DT_FLOAT>({2, 8, 8, num_channels}); in TEST_F() local 168 item.feed = {{"input", input_t}, in TEST_F() 270 auto input_t = GenerateRandomTensor<DT_FLOAT>(input_shape); in TEST_F() local 281 item.feed = {{"input", input_t}, {"scale", scale_t}, in TEST_F() 349 auto input_t = GenerateRandomTensor<DT_FLOAT>({8, 32, 32, 3}); in TEST_F() local 355 item.feed = {{"input", input_t}, {"filter", filter_t}, {"bias", bias_t}}; in TEST_F() 497 auto input_t = GenerateRandomTensor<DT_FLOAT>({8, 32, 32, 3}); in TEST_F() local 503 item.feed = {{"input", input_t}, {"filter", filter_t}, {"bias", bias_t}}; in TEST_F() 584 auto input_t = GenerateRandomTensor<DT_FLOAT>({8, 32, 32, 3}); in TEST_F() local 590 item.feed = {{"input", input_t}, {"filter", filter_t}, {"bias", bias_t}}; in TEST_F() [all …]
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D | mkl_remapper_test.cc | 255 auto input_t = GenerateRandomTensor<DT_FLOAT>({8, 32, 32, 3}); \ 262 {"input", input_t}, {"filter", filter_t}, {"bias", bias_t}}; \ 354 auto input_t = GenerateRandomTensor<DT_FLOAT>({2, 8, 8, num_channels}); in TEST_F() local 367 item.feed = {{"input", input_t}, {"scale", scale_t}, in TEST_F() 371 item.feed = {{"input", input_t}, in TEST_F()
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/external/tensorflow/tensorflow/python/ops/ |
D | gradients_test.py | 959 input_t = constant_op.constant(2.0) 960 result_t = func(input_t) 962 [input_t], [result_t]) 975 input_t = constant_op.constant(2.0) 976 result_t = func(input_t) 978 [input_t], [result_t]) 990 input_t = constant_op.constant(2.0) 991 result_t = func(input_t) 993 [input_t], [result_t]) 1002 input_t = array_ops.identity(var) * 5.0 [all …]
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D | rnn.py | 842 input_t = tuple(ta.read(time) for ta in input_ta) 844 for input_, shape in zip(input_t, inputs_got_shape): 847 input_t = tuple(ta[time.numpy()] for ta in input_ta) 849 input_t = nest.pack_sequence_as(structure=inputs, flat_sequence=input_t) 851 call_cell = lambda: cell(input_t, state)
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D | gradients_util.py | 408 for input_t, placeholder_t in _Captures(t.op.graph): 410 return _MaybeCaptured(input_t) 474 for input_t, placeholder in _Captures(func): 475 if input_t is t:
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/external/tensorflow/tensorflow/python/data/experimental/kernel_tests/ |
D | optimize_dataset_test.py | 144 input_t = array_ops.placeholder(dtypes.int32, (None, None, None)) 145 dataset = dataset_ops.Dataset.from_tensors(input_t) 154 sess.run(init_op, {input_t: np.ones([512, 1024, 1025], np.int32)}) 160 input_t = array_ops.placeholder(dtypes.int32, (None, None, None, None)) 161 dataset = dataset_ops.Dataset.from_tensor_slices(input_t) 170 sess.run(init_op, {input_t: np.ones([1, 512, 1024, 1025], np.int32)})
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_eager_v1.py | 123 isinstance(input_t, (np.ndarray, float, int)) 124 for input_t in nest.flatten(inputs)):
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/external/tensorflow/tensorflow/python/kernel_tests/array_ops/ |
D | slice_op_test.py | 193 def func(input_t): argument 194 slice_t = input_t[:] 209 def func(input_t): argument 210 slice_t = input_t[1:, 1:]
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/external/tensorflow/tensorflow/c/eager/ |
D | c_api_unified_experimental_test.cc | 413 TF_AbstractTensor* input_t = in TEST_P() local 417 TF_ExecuteOperation(fn_op, 1, &input_t, add_outputs, status.get()); in TEST_P() 432 TF_DeleteAbstractTensor(input_t); in TEST_P() 510 TF_AbstractTensor* input_t = in TEST_P() local 516 TF_ExecuteOperation(fn_op, 1, &input_t, mm_outputs, status.get()); in TEST_P() 539 TF_DeleteAbstractTensor(input_t); in TEST_P()
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/external/e2fsprogs/lib/support/ |
D | dict.c | 1235 typedef char input_t[256]; typedef 1297 input_t in; in construct() 1318 if (!fgets(in, sizeof(input_t), stdin)) in construct() 1362 input_t in; in main() 1395 if (!fgets(in, sizeof(input_t), stdin)) in main()
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