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Results 1 - 5 of 5 for 32x32xi64 (0.1 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
%14 = mhlo.compare LT, %13, %6 : (tensor<32x32xi64>, tensor<32x32xi64>) -> tensor<32x32xi1> %15 = mhlo.add %13, %4 : tensor<32x32xi64> %16 = mhlo.select %14, %15, %13 : tensor<32x32xi1>, tensor<32x32xi64> %17 = mhlo.reshape %16 : (tensor<32x32xi64>) -> tensor<32x32x1xi64> %18 = "mhlo.concatenate"(%12, %17) <{dimension = 2 : i64}> : (tensor<32x32x1xi64>, tensor<32x32x1xi64>) -> tensor<32x32x2xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_op_with_region.mlir
// CHECK: %[[RESHAPE:.*]] = stablehlo.reshape %[[CALL]] // CHECK: %[[REDUCE:.*]] = "stablehlo.reduce_window"(%[[RESHAPE]], %[[Q0]]) // CHECK{LITERAL}: padding = dense<[[0, 0], [1, 1], [0, 0]]> : tensor<3x2xi64> // CHECK-SAME: window_dimensions = array<i64: 1, 3, 1> // CHECK: %[[ARG1:.*]]: tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>, %[[ARG2:.*]]: tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 18.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_same_scale.mlir
// CHECK-SAME: %[[ARG0:.*]]: tensor<3x4x5xf32> // CHECK-SAME: %[[ARG1:.*]]: tensor<3x5x2xf32> // CHECK-SAME: %[[ARG2:.*]]: tensor<2x3x2xi64> func.func private @composite_and_gather(%arg0: tensor<3x4x5xf32>, %arg1: tensor<3x5x2xf32>, %arg2: tensor<2x3x2xi64>) -> tensor<2x3x2x2xf32> { // CHECK: %[[Q1:.*]] = "quantfork.qcast"(%[[ARG0]]) {volatile} : (tensor<3x4x5xf32>) -> tensor<3x4x5x!quant.uniform<i8:f32, 5.000000e-03>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 35.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_weight_param.mlir
// ----- // Test that q/dq pair is not inserted between constant and XlaCallModule op // whose entry function name does not include conv nor dot_general. func.func @no_qdq_except_conv_and_dot_general(%arg0: tensor<2x3x2xi64>) -> tensor<2x3x2x2xf32> attributes {tf._original_func_name = "main_0"} { %cst = "tf.Const"() {value = dense<3.000000e-01> : tensor<3x4x2xf32>} : () -> tensor<3x4x2xf32> %0 = "tf.XlaCallModule"(%cst, %arg0) {
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/lite/tests/quantize.mlir
%3 = "tfl.pseudo_qconst"() {qtype = tensor<32x12x!quant.uniform<u4<1:15>:f32, 0.395998308:8>>, value = dense<-7> : tensor<32x12xi4>} : () -> tensor<32x12x!quant.uniform<u4<1:15>:f32, 0.395998308:8>> %4 = "tfl.dequantize"(%3) : (tensor<32x12x!quant.uniform<u4<1:15>:f32, 0.395998308:8>>) -> tensor<32x12xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 39.7K bytes - Viewed (0)