| /external/tensorflow/tensorflow/core/kernels/ |
| D | bincount_op.cc | 243 Tensor* out_t; in Compute() local
246 OP_REQUIRES_OK(ctx, ctx->allocate_output(0, TensorShape({size}), &out_t)); in Compute()
247 auto out = out_t->flat<T>(); in Compute()
265 ctx, ctx->allocate_output(0, TensorShape({num_rows, size}), &out_t)); in Compute()
266 auto out = out_t->matrix<T>(); in Compute()
267 fill(ctx->eigen_device<Device>(), out_t->flat<T>()); in Compute()
341 Tensor* out_t; in Compute() local
344 OP_REQUIRES_OK(ctx, ctx->allocate_output(0, TensorShape({size}), &out_t)); in Compute()
345 auto out = out_t->flat<T>(); in Compute()
360 ctx, ctx->allocate_output(0, TensorShape({num_rows, size}), &out_t)); in Compute()
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| D | sparse_tensor_dense_add_op.cc | 83 Tensor *out_t; in Compute() local
84 OP_REQUIRES_OK(ctx, ctx->allocate_output(0, b->shape(), &out_t)); in Compute()
93 auto out_tensor = out_t->tensor<T, N>(); \ in Compute()
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| D | set_kernels.cc | 265 Tensor* out_t; in Compute() local
266 OP_REQUIRES_OK(ctx, ctx->allocate_output(0, output_shape_ts, &out_t)); in Compute()
267 auto out = out_t->flat<int32>(); in Compute()
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| /external/mesa3d/src/mesa/drivers/dri/nouveau/ |
| D | nouveau_array.c | 33 #define EXTRACT(in_t, out_t) extract_func_##in_t##_to_##out_t argument
35 #define EXTRACT_FUNC(in_t, out_t, k) \ argument
36 static out_t EXTRACT(in_t, out_t) \
40 return (out_t)x / (k); \
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| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | category_crossing_test.py | 112 out_t = layer([inp_0_t, inp_1_t, inp_2_t])
113 model = training.Model([inp_0_t, inp_1_t, inp_2_t], out_t)
135 out_t = non_hashed_layer([inp_0_t, inp_1_t])
136 model = training.Model(inputs=[inp_0_t, inp_1_t], outputs=out_t)
152 out_t = layer([inp_0_t, inp_1_t])
153 model = training.Model([inp_0_t, inp_1_t], out_t)
166 out_t = layer([inp_0_t, inp_1_t, inp_2_t])
167 model = training.Model([inp_0_t, inp_1_t, inp_2_t], out_t)
210 out_t = layer([inp_0_t, inp_1_t])
211 model = training.Model([inp_0_t, inp_1_t], out_t)
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| D | hashing_test.py | 182 out_t = layer(inp_t)
183 model = training.Model(inputs=inp_t, outputs=out_t)
212 out_t = layer(inp_t)
213 model = training.Model(inputs=inp_t, outputs=out_t)
227 out_t = layer(inp_t)
228 model = training.Model(inputs=inp_t, outputs=out_t)
236 out_t = layer_2(inp_t)
237 model = training.Model(inputs=inp_t, outputs=out_t)
250 out_t = layer(inp_t)
251 model = training.Model(inputs=inp_t, outputs=out_t)
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| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/benchmarks/ |
| D | index_lookup_forward_benchmark.py | 84 out_t = layer(input_t)
85 model = keras.Model(input_t, out_t)
116 out_t = layer(input_t)
117 model = keras.Model(input_t, out_t)
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| /external/tensorflow/tensorflow/core/util/sparse/ |
| D | sparse_tensor.h | 352 auto out_t = out->flat<T>(); in ValidateAndInitializeToDense() local
353 out_t.setConstant(T()); in ValidateAndInitializeToDense()
363 auto out_t = out->flat<T>(); in ToDense() local
374 out_t(index) = vals_t(n); in ToDense()
389 out_t(row_index * out_cols + col_index) = vals_t(n); in ToDense()
414 out_t(ix) = vals_t(n); in ToDense()
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| /external/tensorflow/tensorflow/python/client/ |
| D | session_test.py | 1434 out_t = array_ops.identity(feed_t)
1448 sess.run(out_t, feed_dict={
1458 [out_t, feed_t], feed_dict={
1464 feed_fetch_runner = sess.make_callable([out_t, feed_t], [feed_t])
1541 out_t = array_ops.identity(feed_t)
1544 sess.run(out_t, feed_dict={feed_t: feed_val})
1546 out_t.eval(feed_dict={feed_t: feed_val})
1548 out_t.op.run(feed_dict={feed_t: feed_val})
1557 out_t = constant_op.constant(1.0)
1561 sess.run(out_t, feed_dict={feed_int_implicit_int32: largest_int64})
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| /external/swiftshader/third_party/llvm-10.0/llvm/lib/Target/WebAssembly/ |
| D | WebAssemblyInstrSIMD.td | 448 multiclass SIMDCondition<ValueType vec_t, ValueType out_t, string vec,
452 [(set (out_t V128:$dst),
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| /external/llvm-project/llvm/lib/Target/WebAssembly/ |
| D | WebAssemblyInstrSIMD.td | 575 multiclass SIMDCondition<ValueType vec_t, ValueType out_t, string vec,
579 [(set (out_t V128:$dst),
|