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Results 11 - 20 of 93 for attr_val (0.47 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla.mlir
// CHECK-SAME: <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 2, 2, 1]}> // Check that the `attr_map` attribute has been removed. // CHECK-NOT: attr_map // ----- func.func @conv_with_non_constant_filter(%arg0: tensor<1x3x4x3xf32>, %arg1: tensor<2x3x3x2xf32>) -> tensor<*xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq_per_channel.mlir
func.return %1: tensor<*xf32> } func.func private @composite_matmul_fn(%arg0: tensor<1x2x2x3xf32>, %arg1: tensor<2x1024xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} { %0 = "tf.MatMul"(%arg0, %arg1) {attr_map = "0:transpose_a,1:transpose_a", device = "", transpose_a = false, transpose_b = false} : (tensor<1x2x2x3xf32>, tensor<2x1024xf32>) -> tensor<*xf32> return %0 : tensor<*xf32> } // CHECK-LABEL: func @matmul
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq.mlir
func.return %1: tensor<*xf32> } func.func private @composite_matmul_fn(%arg0: tensor<1x2x2x3xf32>, %arg1: tensor<2x1024xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} { %0 = "tf.MatMul"(%arg0, %arg1) {attr_map = "0:transpose_a,1:transpose_a", device = "", transpose_a = false, transpose_b = false} : (tensor<1x2x2x3xf32>, tensor<2x1024xf32>) -> tensor<*xf32> return %0 : tensor<*xf32> } // CHECK-LABEL: func @matmul
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir
%cst_0 = "tf.Const"() {value = dense<2.000000e+00> : tensor<2x1024xf32>} : () -> tensor<2x1024xf32> %0 = "tf.MatMul"(%arg0, %cst_0) {attr_map = "0:transpose_a,1:transpose_a", device = "", transpose_a = false, transpose_b = false} : (tensor<1x2x2x2xf32>, tensor<2x1024xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 42K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized.mlir
output_quantization_axis = -1, output_quantization_min_val = -2147483648, output_quantization_max_val = 2147483647, T = "tfdtype$DT_QINT32", attr_map = "" } : (tensor<*x!tf_type.qint32>, tensor<*x!tf_type.qint32>, tensor<*xf32>, tensor<*xi32>, tensor<*xf32>, tensor<*xi32>, tensor<*xf32>, tensor<*xi32>) -> tensor<*x!tf_type.qint32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 29 01:13:58 UTC 2023 - 19.3K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_cluster_util.cc
for (const auto& name_attr_pair : n.attrs()) { const AttrValue& attr_value = name_attr_pair.second; if (attr_value.value_case() == AttrValue::kFunc) { result.push_back(attr_value.func()); } else if (attr_value.value_case() == AttrValue::kList) { result.insert(result.end(), attr_value.list().func().begin(), attr_value.list().func().end()); } } return result; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 29 08:39:39 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/jit/node_matchers.cc
const std::pair<string, bool>& bool_attr) { AttrValue attr_value; attr_value.set_b(bool_attr.second); return {bool_attr.first, attr_value}; } std::pair<string, AttrValue> impl::AttrLiteralHelper( const std::pair<string, absl::Span<const int>>& int_list_attr) { AttrValue attr_value; AttrValue::ListValue* list = attr_value.mutable_list(); for (int i : int_list_attr.second) { list->add_i(i);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jun 03 16:15:20 UTC 2022 - 16.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/preprocess_op_weight_only.mlir
} func.func private @composite_depthwise_conv2d_fn(%arg0: tensor<1x3x4x3xf32>, %arg1: tensor<2x3x3x2xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} { %0 = "tf.DepthwiseConv2dNative"(%arg0, %arg1) { attr_map = "0:strides,1:padding,2:explicit_paddings,3:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions.mlir
// CHECK-NEXT: %[[matmul:.*]] = "tf.MatMul"(%arg0, %arg1) // CHECK-SAME: attr_map = "0:transpose_a,1:transpose_b" // CHECK-NEXT: tf.BiasAdd // CHECK-NEXT: tf.Relu6 // CHECK-NEXT: return // CHECK-LABEL: private @composite_matmul_with_bias_and_relu_fn_1 // CHECK-NEXT: tf.MatMul"(%arg0, %arg1) // CHECK-SAME: attr_map = "0:transpose_a,1:transpose_b" // CHECK-NEXT: tf.BiasAdd // CHECK-NEXT: tf.Relu
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 26.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_drq.mlir
func.return %1: tensor<*xf32> } func.func private @composite_matmul_fn_1(%arg0: tensor<2x12xf32>, %arg1: tensor<12x2xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} { %0 = "tf.MatMul"(%arg0, %arg1) {attr_map = "0:transpose_a,1:transpose_b", device = "", transpose_a = false, transpose_b = false} : (tensor<2x12xf32>, tensor<12x2xf32>) -> tensor<*xf32> return %0 : tensor<*xf32> } // CHECK-LABEL: func @matmul
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 9.8K bytes - Viewed (0)