Searched refs:output_vals (Results 1 – 6 of 6) sorted by relevance
| /external/tensorflow/tensorflow/compiler/tests/ |
| D | pooling_ops_3d_test.py | 224 output_vals = np.array(sess.run(outputs, {inputs: x}))
226 1, output_vals.size + 1, dtype=np.float32)
227 output_gradient_vals = output_gradient_vals.reshape(output_vals.shape)
235 dtypes.float32, shape=output_vals.shape)
266 outputs = array_ops.placeholder(dtypes.float32, shape=output_vals.shape)
286 outputs: output_vals,
302 outputs: output_vals,
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| D | pooling_ops_test.py | 339 output_vals = np.array(sess.run(outputs, {inputs: x}))
341 1, output_vals.size + 1, dtype=np.float32)
342 output_gradient_vals = output_gradient_vals.reshape(output_vals.shape)
350 dtypes.float32, shape=output_vals.shape)
382 outputs = array_ops.placeholder(dtypes.float32, shape=output_vals.shape)
419 outputs: output_vals,
434 outputs: output_vals,
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| /external/tensorflow/tensorflow/python/client/ |
| D | tf_session_helper.cc | 389 TF_TensorVector output_vals(outputs.size()); in TF_SessionRun_wrapper_helper() local
398 inputs.size(), outputs.data(), output_vals.data(), in TF_SessionRun_wrapper_helper()
403 inputs.size(), outputs.data(), output_vals.data(), in TF_SessionRun_wrapper_helper()
410 for (TF_Tensor* output : output_vals) { in TF_SessionRun_wrapper_helper()
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| /external/tensorflow/tensorflow/core/util/sparse/ |
| D | sparse_tensor.h | 466 Tensor output_vals(DataTypeToEnum<T>::v(), TensorShape({num_entries})); in Concat()
469 typename TTypes<T>::Vec vals_t = output_vals.vec<T>(); in Concat()
491 return SparseTensor(output_ix, output_vals, final_shape, final_order); in Concat()
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| /external/tensorflow/tensorflow/python/ops/ |
| D | sparse_ops.py | 1042 output_inds, output_vals, output_shapes = (
1053 sparse_tensor.SparseTensor(output_inds[i], output_vals[i],
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | rnn_cell_test.py | 2294 output_vals = sess.run(output, feed_dict={unknown_dim: 1})
2296 np.ones((max_time, batch_size, 2, 3), np.int32), output_vals[0])
2298 np.ones((max_time, batch_size, 1), np.int64), output_vals[1])
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