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Results 1 - 10 of 19 for input_i64 (0.31 sec)
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tensorflow/compiler/jit/increase_dynamism_for_auto_jit_pass_test.cc
ops::Placeholder(root.WithOpName("input_float"), DT_FLOAT); Output input_i64 = ops::Placeholder(root.WithOpName("input_i64"), DT_INT64); Output begin_begin = ops::Placeholder(root.WithOpName("begin_begin"), DT_INT32); Output begin_size = ops::Const(root.WithOpName("begin_size"), {-1}); Output begin = ops::Slice(root.WithOpName("begin"), input_i64, begin_begin, begin_size); Output size =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 18.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
// CHECK: %[[lstm:.*]] = "tfl.unidirectional_sequence_lstm"(%[[input_0]], %[[input_1]], %[[input_2]], %[[input_3]], %[[input_4]], %[[input_5]], %[[input_6]], %[[input_7]], %[[input_8]], // CHECK-SAME: %[[input_9]], %[[input_10]], %[[input_11]], %[[input_12]], %[[input_13]], %[[input_14]], %[[input_15]], %[[input_16]], %[[input_17]], %[[input_18]], %[[input_19]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir
// CHECK-SAME: %[[input_0]], // CHECK-SAME: %[[input_1]], %[[input_2]], %[[input_3]], %[[input_4]], // CHECK-SAME: %[[input_5]], %[[input_6]], %[[input_7]], %[[input_8]], // CHECK-SAME: %[[input_9]], %[[input_9]], %[[input_9]], // CHECK-SAME: %[[input_10]], %[[input_11]], %[[input_12]], %[[input_13]], // CHECK-SAME: %[[input_9]], %[[input_9]], // CHECK-SAME: %[[input_14]], %[[input_15]], // CHECK-SAME: %[[input_9]], %[[input_9]], %[[input_9]], %[[input_9]]) <{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 26.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/cc/constant_fold_test.cc
%weight = "tf.Const"() {value = dense<1> : tensor<1024x24x24x3xi8>} : () -> tensor<1024x24x24x3xi8> %input_i32 = "tf.Cast"(%weight) : (tensor<1024x24x24x3xi8>) -> tensor<1024x24x24x3xi32> %output = "tf.Sub"(%input_i32, %zp) : (tensor<1024x24x24x3xi32>, tensor<i32>) -> tensor<1024x24x24x3xi32> %cast = "tf.Cast"(%output) : (tensor<1024x24x24x3xi32>) -> tensor<1024x24x24x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 04 07:19:09 UTC 2024 - 10.1K bytes - Viewed (0) -
tensorflow/compiler/jit/node_matchers.cc
<< " inputs but node has " << node->num_inputs(); } return false; } for (int input_idx = 0, e = input_matchers->size(); input_idx < e; input_idx++) { if (!MatchAndExplainInput(node, input_idx, listener)) { return false; } } } std::vector<const Node*> control_deps;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jun 03 16:15:20 UTC 2022 - 16.8K bytes - Viewed (0) -
test/copy.go
input16, output16 = output16, input16 input32, output32 = output32, input32 input64, output64 = output64, input64 in := 0 out := 13 for i := range input8 { input8[i] = u8(in) output8[i] = u8(out) outputS[i] = u8(out) input16[i] = u16(in) output16[i] = u16(out) input32[i] = u32(in) output32[i] = u32(out) input64[i] = u64(in) output64[i] = u64(out) in++ out++ }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Feb 12 18:17:49 UTC 2013 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_device_ops.td
%k = "tf_device.launch"() ( { %9 = "tf.opK"(%input_0, %input_4, %9) : (tensor<i32>, tensor<!tf_type.variant>, tensor<i1>) -> tensor<i32> tf_device.return %9 : tensor<i32> }) {device = "DEVICE_ALIAS_0"} : () -> tensor<i32> %l = "tf_device.launch"() ( { %10 = "tf.opL"(%input_1, %input_4, %9) : (tensor<f32>, tensor<!tf_type.variant>, tensor<i1>) -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 23:53:20 UTC 2024 - 14.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_xla_weight_only.mlir
// Use identity op to avoid the weight being constant-folded. %identity = "tf.Identity"(%input) : (tensor<*xi8>) -> tensor<*xi8> %input_i32 = "tf.Cast"(%identity) : (tensor<*xi8>) -> tensor<*xi32> %output = "tf.Sub"(%input_i32, %zp) : (tensor<*xi32>, tensor<*xi32>) -> tensor<*xi32> %cast = "tf.Cast"(%output) : (tensor<*xi32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 15:43:38 UTC 2023 - 7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
const int input_idx = 0; EXPECT_THAT(subgraph->tensors[input_idx]->type, Eq(TensorType_INT8)); EXPECT_THAT(subgraph->tensors[input_idx]->name, Eq("input")); EXPECT_THAT(subgraph->tensors[input_idx]->quantization->scale, SizeIs(1)); EXPECT_THAT(subgraph->tensors[input_idx]->quantization->zero_point, SizeIs(1)); EXPECT_THAT(subgraph->tensors[input_idx]->quantization->scale[0],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tools/tflite_op_coverage_spec_getters_gen.cc
// the first argument is the input activation. int input_idx = 0; for (int i = 0; i < args_in_dag->getNumArgs(); i++) { if (args_in_dag->getArgName(i)->getAsString() == "\"input\"") input_idx = i; } if (CheckTypeConstraints(args_in_dag->getArg(input_idx), required_types, per_axis)) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 12.7K bytes - Viewed (0)