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Results 111 - 120 of 129 for 4xf32 (0.04 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/optimize.mlir
// ----- // CHECK-LABEL: testDotToDotGeneralMatrixVector func.func @testDotToDotGeneralMatrixVector(%arg0: tensor<2x3072xf32>, %arg1: tensor<3072xf32>) -> tensor<2xf32> { %0 = "mhlo.dot"(%arg0, %arg1) : (tensor<2x3072xf32>, tensor<3072xf32>) -> tensor<2xf32> func.return %0 : tensor<2xf32> // CHECK: %[[RES:.*]] = "mhlo.dot_general"(%arg0, %arg1) <{ // CHECK-SAME: dot_dimension_numbers = #mhlo.dot<
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 22.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_custom_aggregation_op_to_quant_stats.mlir
func.return %0#0, %1#0 : tensor<8x8x8x8xf32>, tensor<8x8x8x8xf32> } // CHECK: func @customAggregator // CHECK-NEXT: %[[stats:.*]] = "quantfork.stats"(%arg0) <{layerStats = dense<[-1.000000e-01, 2.000000e-01]> : tensor<2xf32>}> : (tensor<8x8x8x8xf32>) -> tensor<8x8x8x8xf32> // CHECK-NEXT: return %[[stats]], %arg0 func.func @doNotHandleNoMinMaxCases(%arg0: tensor<8x8x8x8xf32>) -> (tensor<8x8x8x8xf32>, tensor<8x8x8x8xf32>, tensor<8x8x8x8xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 06:25:50 UTC 2024 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/decompose-hybrid-quantization.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
// : (tensor<1x2xf32>) -> tensor<2xf32> // %items1:4 = "tf.Unpack"(%[[INP1]]) {axis = 0 : i64} // : (tensor<4x2xf32>) -> (tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, // tensor<2xf32>) // %axis = "tf.Const"() {value = dense<0> : tensor<i64>} // %0 = "tf.Pack"(items1#3, items1#2, items1#1, items1#0, %items0, %axis) // : (tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mark_ops_for_outside_compilation.mlir
%s0 = "tf.Const"() {value = dense<[501, 1, 32, 1280]> : tensor<4xi32>} : () -> tensor<4xi32> %s1 = "tf.Const"() {value = dense<[ 1, 1, 1, 1280]> : tensor<4xi32>} : () -> tensor<4xi32> // CHECK: "tf.BroadcastGradientArgs" // CHECK-NOT: _xla_outside_compilation %r0, %r1 = "tf.BroadcastGradientArgs"(%s0, %s1) {} : (tensor<4xi32>, tensor<4xi32>) -> (tensor<1xi32>, tensor<3xi32>) tf_device.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 16:22:32 UTC 2024 - 29.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
%1 = "tfl.pad"(%arg1, %arg2) : (tensor<2x1x3xf32>, tensor<3x2xi32>) -> tensor<?xf32> %2 = "tfl.pad"(%0, %arg2) : (tensor<2x1x3xf32>, tensor<3x2xi32>) -> tensor<?xf32> func.return %1, %2 : tensor<?xf32>, tensor<?xf32> // CHECK: %[[dq:.*]] = "tfl.dequantize"(%arg0) // CHECK: %[[pad1:.*]] = "tfl.pad"(%arg1, %arg2) // CHECK: %[[pad2:.*]] = "tfl.pad"(%[[dq]], %arg2)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/optimize.mlir
} // ----- // CHECK-LABEL: func @convolution_add_add_f32 func.func @convolution_add_add_f32( %lhs: tensor<?x3x2x1xf32>, %rhs: tensor<2x1x1x1xf32>, %zp_offset: tensor<?x2x2x1xf32>, %bias: tensor<1xf32> ) -> tensor<?x2x2x1xf32> { // CHECK-DAG: %[[conv:.*]] = mhlo.convolution // CHECK-DAG: %[[combined:.*]] = chlo.broadcast_add %[[conv:.*]], %[[zp_offset:.*]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 24 02:26:47 UTC 2024 - 10.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/post-quantize-dynamic-range.mlir
// CHECK-LABEL: QuantizeCustomOp // CustomOp-LABEL: QuantizeCustomOp func.func @QuantizeCustomOp(%arg0: tensor<1x1x1x1xf32>) -> (tensor<*xf32>, tensor<*xf32>, tensor<*xf32>) attributes {tf.entry_function = {inputs = "input", outputs = "custom_op"}} { %0 = "quantfork.stats"(%arg0) {layerStats = dense<[0.000000e+00, 2.550000e+02]> : tensor<2xf32>} : (tensor<1x1x1x1xf32>) -> tensor<1x1x1x1xf32> %w_1 = arith.constant dense<127.0> : tensor<4096x1x1x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_weight_param.mlir
func.func @no_qdq_for_non_weight_constant(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {tf._original_func_name = "main_0"} { %cst = "tf.Const"() {value = dense<4.000000e-02> : tensor<3xf32>} : () -> tensor<3xf32> %0 = "tf.XlaCallModule"(%arg0, %arg1, %cst) { Sout = [#tf_type.shape<1x3>], _entry_function = @composite_dot_general_with_bias_fn, _original_entry_function = "composite_dot_general_with_bias_fn",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/ir/tfr_ops.td
tensor type, the shape shouldn't be changed during the conversion. Example: ```mlir %1 = tfr.constant_tensor(%0) : f32 -> tensor<f32> %3 = tfr.constant_tensor(%2) : vector<1xf32> -> tensor<1xf32> ``` }]; let arguments = (ins TFR_AllAttrTypes:$arg); let results = (outs TFR_singleTensorType:$out); let hasCanonicalizer = 1; let hasVerifier = 1; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 10:54:29 UTC 2024 - 17.4K bytes - Viewed (0)