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/external/tensorflow/tensorflow/python/ops/
Dgradient_checker.py56 def _compute_theoretical_jacobian(x, x_shape, x_data, dy, dy_shape, dx, argument
107 feed_dict=_extra_feeds(extra_feed_dict, {x: x_data, dy: dy_data}))
115 dx, feed_dict=_extra_feeds(extra_feed_dict, {x: x_data, dy: dy_data}))
123 dx, feed_dict=_extra_feeds(extra_feed_dict, {x: x_data, dy: dy_data}))
124 if backprop.shape != x_data.shape:
126 (x_data.shape, backprop.shape))
134 def _compute_numeric_jacobian(x, x_shape, x_data, y, y_shape, delta, argument
164 if x_data.dtype == dtypes.bfloat16.as_numpy_dtype:
165 x_data = x_data.astype(np.float32)
174 x_data = np.asarray(x_data, dtype=x.dtype.as_numpy_dtype)
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Dimage_ops_test.py246 x_data = np.random.uniform(0, 255, (8, 8))
247 x_np = np.array(x_data, dtype=np.float32)
260 x_data = np.random.uniform(0, 255, (8, 8))
261 x_np = np.array(x_data, dtype=np.float32)
279 x_data = np.random.uniform(0, 255, (8, 8))
280 x_np = np.array(x_data, dtype=np.float32)
299 x_data = np.random.uniform(0, 255, (8, 8))
300 x_np = np.array(x_data, dtype=np.float32)
360 x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
361 x_np = np.array(x_data, dtype=np.uint8).reshape(x_shape)
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/external/tensorflow/tensorflow/cc/gradients/
Dimage_grad_test.cc54 void MakeOp(const OpType op_type, const Tensor& x_data, const Input& y_shape, in MakeOp() argument
57 *x = Const<T>(scope_, x_data); in MakeOp()
82 Tensor x_data = MakeData<T>(x_shape); in TestResizedShapeForType() local
84 MakeOp<T>(op_type, x_data, {4, 6}, align_corners, half_pixel_centers, &x, in TestResizedShapeForType()
115 Tensor x_data = MakeData<X_T>(x_shape); in TestResizeToSmallerAndAlign() local
117 MakeOp<X_T>(op_type, x_data, {2, 3}, align_corners, half_pixel_centers, &x, in TestResizeToSmallerAndAlign()
121 scope_, x, x_data, y, {1, 2, 3, 1}, &max_error))); in TestResizeToSmallerAndAlign()
130 Tensor x_data = MakeData<X_T>(x_shape); in TestResizeToLargerAndAlign() local
132 MakeOp<X_T>(op_type, x_data, {4, 6}, align_corners, half_pixel_centers, &x, in TestResizeToLargerAndAlign()
136 scope_, x, x_data, y, {1, 4, 6, 1}, &max_error))); in TestResizeToLargerAndAlign()
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Dmath_grad_test.cc101 Tensor x_data(x_type, shape); in TestCWiseGrad() local
102 auto x_data_flat = x_data.flat<X_T>(); in TestCWiseGrad()
206 TF_ASSERT_OK((ComputeGradientError<X_T, Y_T, float>(scope_, x, x_data, y, in TestCWiseGrad()
/external/tensorflow/tensorflow/compiler/xla/tests/
Dhalf_test.cc55 auto x_data = CreateR1Parameter<half>(x, /*parameter_number=*/0, "x", in XLA_TEST_P() local
67 ComputeAndCompareR1<half>(&builder, expected, {x_data.get()}, error_spec_); in XLA_TEST_P()
109 auto x_data = CreateR1Parameter<half>(x, /*parameter_number=*/0, "x", in XLA_TEST_P() local
122 ComputeAndCompareR1<bool>(&builder, expected, {x_data.get()}); in XLA_TEST_P()
145 auto x_data = CreateR1Parameter<half>(x, /*parameter_number=*/0, "x", in XLA_TEST_P() local
161 ComputeAndCompareR1<half>(&builder, expected, {x_data.get(), y_data.get()}, in XLA_TEST_P()
199 auto x_data = CreateR1Parameter<half>(x, /*parameter_number=*/0, "x", in XLA_TEST_P() local
216 ComputeAndCompareR1<bool>(&builder, expected, {x_data.get(), y_data.get()}); in XLA_TEST_P()
Ddeep_graph_test.cc29 auto x_data = CreateR0Parameter<int32>(3, 0, "x", &b, &x); in TEST_F() local
36 {x_data.get(), y_data.get()}); in TEST_F()
Ddot_operation_test.cc577 auto x_data = this->client_ in XLA_TYPED_TEST() local
602 {x_data.get(), y_data.get()}, this->error_spec_); in XLA_TYPED_TEST()
622 auto x_data = in XLA_TYPED_TEST() local
638 {x_data.get(), y_data.get()}, this->error_spec_); in XLA_TYPED_TEST()
659 auto x_data = in XLA_TYPED_TEST() local
672 /*expected=*/{{1.0f, 2.0f}, {7.0f, 8.0f}}, {x_data.get(), y_data.get()}, in XLA_TYPED_TEST()
693 auto x_data = this->client_ in XLA_TYPED_TEST() local
706 /*expected=*/{{1.0f, 2.0f}, {7.0f, 8.0f}}, {x_data.get(), y_data.get()}, in XLA_TYPED_TEST()
730 auto x_data = in XLA_TYPED_TEST() local
750 {x_data.get(), y_data.get()}, this->error_spec_); in XLA_TYPED_TEST()
Dconcat_test.cc565 auto x_data = client_->TransferToServer(x_literal).ConsumeValueOrDie(); in XLA_TEST_F() local
578 {x_data.get(), y_data.get()}, ErrorSpec(1e-4)); in XLA_TEST_F()
588 auto x_data = client_->TransferToServer(x_literal).ConsumeValueOrDie(); in XLA_TEST_F() local
604 {x_data.get(), y_data.get(), z_data.get()}, ErrorSpec(1e-4)); in XLA_TEST_F()
616 auto x_data = client_->TransferToServer(x_literal).ConsumeValueOrDie(); in XLA_TEST_F() local
634 {x_data.get(), y_data.get(), z_data.get()}, in XLA_TEST_F()
Dreplay_test.cc95 std::unique_ptr<GlobalData> x_data = in XLA_TEST_F() local
104 /*arguments=*/{x_data.get(), y_data.get()}, in XLA_TEST_F()
Dbroadcast_simple_test.cc253 auto x_data = CreateR2Parameter<bool>(x_vals, 0, "x", &b, &x); in XLA_TEST_F() local
263 ComputeAndCompareR3<bool>(&b, expected, {x_data.get(), y_data.get()}); in XLA_TEST_F()
Darray_elementwise_ops_test.cc2960 auto x_data = client_->TransferToServer(x_literal).ConsumeValueOrDie(); in XLA_TEST_F() local
2968 ComputeAndCompareR1<float>(&builder, {-2, -3}, {x_data.get(), y_data.get()}, in XLA_TEST_F()
/external/tensorflow/tensorflow/core/kernels/
Dquantized_mul_op.cc113 void VectorMultiply(OpKernelContext* context, const T* x_data, int32 offset_x, in VectorMultiply() argument
117 output[i] = (static_cast<int32>(x_data[i]) - offset_x) * in VectorMultiply()
125 const quint8* x_data, int32 offset_x, in VectorMultiply() argument
134 const uint8* x_data_ptr = &(x_data->value) + i; in VectorMultiply()
182 output[i] = (static_cast<int32>(x_data[i]) - offset_x) * in VectorMultiply()
312 const T* x_data = x.flat<T>().data(); in Compute() local
320 x_data[0], offset_x, z_data); in Compute()
322 ScalarMultiply<T, Toutput>(context, x_data, offset_x, x.NumElements(), in Compute()
325 VectorMultiply<T, Toutput>(context, x_data, offset_x, y_data, offset_y, in Compute()
336 vector_data = x_data; in Compute()
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Dquantized_add_op.cc159 void VectorAddition(OpKernelContext* context, const T* x_data, float min_x, in VectorAddition() argument
165 x_data[i], min_x, max_x, output_min, output_max); in VectorAddition()
175 void VectorAddition(OpKernelContext* context, const quint8* x_data, float min_x, in VectorAddition() argument
208 const uint8* x_ptr = &(x_data->value) + i; in VectorAddition()
225 const int64 x_value = static_cast<int64>(x_data[i]); in VectorAddition()
244 void VectorAddition(OpKernelContext* context, const quint8* x_data, float min_x, in VectorAddition() argument
270 const int64 x_value = static_cast<int64>(x_data[i]); in VectorAddition()
483 const T* x_data = x.flat<T>().data(); in Compute() local
502 y.NumElements(), x_data[0], min_x, max_x, in Compute()
505 ScalarAddition<T, Toutput>(context, x_data, min_x, max_x, in Compute()
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/external/tensorflow/tensorflow/compiler/xla/client/lib/
Dslicing_test.cc62 auto x_data = CreateR0Parameter<int>(2, 1, "x", &builder, &x); in XLA_TEST_F() local
67 {a_data.get(), x_data.get(), y_data.get()}, in XLA_TEST_F()
92 auto x_data = CreateR0Parameter<int>(2, 2, "x", &builder, &x); in XLA_TEST_F() local
102 {a_data.get(), b_data.get(), x_data.get(), y_data.get()}); in XLA_TEST_F()
/external/tensorflow/tensorflow/compiler/tests/
Dimage_ops_test.py121 x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
122 x_np = np.array(x_data, dtype=np.float32).reshape(x_shape) / 255.
134 x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
135 x_np = np.array(x_data, dtype=np.uint8).reshape(x_shape)
175 x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
176 x_np = np.array(x_data, dtype=np.uint8).reshape(x_shape)
193 x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
194 x_np = np.array(x_data, dtype=np.uint8).reshape(x_shape)
211 x_data = [0, 5, 13, 54, 135, 226, 37, 8, 234, 90, 255, 1]
212 x_np = np.array(x_data, dtype=np.uint8).reshape(x_shape)
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/external/tensorflow/tensorflow/stream_executor/rocm/
Drocm_dnn.h547 const DeviceMemory<float>& x_data,
558 const DeviceMemory<Eigen::half>& x_data,
569 const DeviceMemory<float>& x_data,
580 const DeviceMemory<Eigen::half>& x_data,
722 const dnn::BatchDescriptor& x_descriptor, const DeviceMemory<T>& x_data,
733 const dnn::BatchDescriptor& x_descriptor, const DeviceMemory<T>& x_data,
Drocm_dnn.cc4132 const dnn::BatchDescriptor& x_descriptor, const DeviceMemory<T>& x_data, in DoFusedBatchNormActivationInferenceImpl() argument
4178 status = fusion_plan.Execute(x_nd.handle(), x_data.opaque(), in DoFusedBatchNormActivationInferenceImpl()
4207 const DeviceMemory<float>& x_data, in DoFusedBatchNormActivationInference() argument
4216 stream, miopenFloat, x_descriptor, x_data, in DoFusedBatchNormActivationInference()
4223 const DeviceMemory<Eigen::half>& x_data, in DoFusedBatchNormActivationInference() argument
4232 stream, miopenHalf, x_descriptor, x_data, in DoFusedBatchNormActivationInference()
4241 const dnn::BatchDescriptor& x_descriptor, const DeviceMemory<T>& x_data, in DoFusedBatchNormActivationForwardImpl() argument
4290 status = fusion_plan.Execute(x_nd.handle(), x_data.opaque(), in DoFusedBatchNormActivationForwardImpl()
4319 const DeviceMemory<float>& x_data, in DoFusedBatchNormActivationForward() argument
4328 stream, miopenFloat, x_descriptor, x_data, in DoFusedBatchNormActivationForward()
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/external/tensorflow/tensorflow/contrib/gan/python/features/python/
Dspectral_normalization_test.py126 x_data = np.random.rand(*x.shape)
152 _ = sess.run(net, feed_dict={x: x_data})
/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/
Dcudnn_rnn_test.py1108 x_data = sess.run(x)
1109 x_size = x_data.size
1110 x_shape = x_data.shape
1112 numeric_grad = np.zeros(x_size, dtype=x_data.dtype)
1115 x_pos = x_data.copy()
1123 x_neg = x_data.copy()
/external/tensorflow/tensorflow/stream_executor/
Ddnn.h2394 const DeviceMemory<float>& x_data,
2407 const DeviceMemory<Eigen::half>& x_data,
2448 const DeviceMemory<float>& x_data,
2461 const DeviceMemory<Eigen::half>& x_data,
/external/python/cpython3/Objects/
Dunicodeobject.c13168 void *x_data, *y_data, *z_data; in unicode_maketrans_impl() local
13184 x_data = PyUnicode_DATA(x); in unicode_maketrans_impl()
13187 key = PyLong_FromLong(PyUnicode_READ(x_kind, x_data, i)); in unicode_maketrans_impl()